Dataset statistics
| Train | Val | |
|---|---|---|
| Number of variables | 109 | 109 |
| Number of observations | 273 | 273 |
| Missing cells | 0 | 0 |
| Missing cells (%) | 0.0% | 0.0% |
| Duplicate rows | 0 | 0 |
| Duplicate rows (%) | 0.0% | 0.0% |
| Total size in memory | 232.6 KiB | 232.6 KiB |
| Average record size in memory | 872.5 B | 872.5 B |
Variable types
| Train | Val | |
|---|---|---|
| Numeric | 105 | 105 |
| Categorical | 4 | 4 |
| Train | Val | |
|---|---|---|
feature57 has constant value "" | feature57 has constant value "" | Constant |
feature77 has constant value "" | feature77 has constant value "" | Constant |
feature100 has constant value "" | feature100 has constant value "" | Constant |
feature54 is highly imbalanced (94.8%) | feature54 is highly imbalanced (93.3%) | Imbalance |
id is uniformly distributed | id is uniformly distributed | Uniform |
id has unique values | id has unique values | Unique |
feature5 has unique values | feature5 has unique values | Unique |
feature6 has unique values | feature6 has unique values | Unique |
feature9 has unique values | feature9 has unique values | Unique |
feature13 has unique values | feature13 has unique values | Unique |
feature14 has unique values | feature14 has unique values | Unique |
feature16 has unique values | feature16 has unique values | Unique |
feature19 has unique values | feature19 has unique values | Unique |
feature31 has unique values | feature31 has unique values | Unique |
feature33 has unique values | feature33 has unique values | Unique |
feature35 has unique values | feature35 has unique values | Unique |
feature36 has unique values | feature36 has unique values | Unique |
feature39 has unique values | feature39 has unique values | Unique |
feature44 has unique values | feature44 has unique values | Unique |
feature46 has unique values | feature46 has unique values | Unique |
feature59 has unique values | feature59 has unique values | Unique |
feature61 has unique values | feature61 has unique values | Unique |
feature66 has unique values | feature66 has unique values | Unique |
feature67 has unique values | feature67 has unique values | Unique |
feature72 has unique values | feature72 has unique values | Unique |
feature76 has unique values | feature76 has unique values | Unique |
feature87 has unique values | feature87 has unique values | Unique |
feature89 has unique values | feature89 has unique values | Unique |
feature91 has unique values | feature91 has unique values | Unique |
feature94 has unique values | feature94 has unique values | Unique |
feature97 has unique values | feature97 has unique values | Unique |
feature101 has unique values | feature101 has unique values | Unique |
feature105 has unique values | feature105 has unique values | Unique |
label has 144 (52.7%) zeros | label has 51 (18.7%) zeros | Zeros |
Reproduction
| Train | Val | |
|---|---|---|
| Analysis started | 2023-07-16 08:29:48.675108 | 2023-07-16 08:29:50.852680 |
| Analysis finished | 2023-07-16 08:29:50.851687 | 2023-07-16 08:29:52.481435 |
| Duration | 2.18 seconds | 1.63 second |
| Software version | ydata-profiling v4.3.1 | ydata-profiling v4.3.1 |
| Download configuration | config.json | config.json |
id
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 136 | 136 |
| Train | Val | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 272 | 272 |
| Zeros | 1 | 1 |
| Zeros (%) | 0.4% | 0.4% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 13.6 | 13.6 |
| Q1 | 68 | 68 |
| median | 136 | 136 |
| Q3 | 204 | 204 |
| 95-th percentile | 258.4 | 258.4 |
| Maximum | 272 | 272 |
| Range | 272 | 272 |
| Interquartile range (IQR) | 136 | 136 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 78.952517 | 78.952517 |
| Coefficient of variation (CV) | 0.58053322 | 0.58053322 |
| Kurtosis | -1.2 | -1.2 |
| Mean | 136 | 136 |
| Median Absolute Deviation (MAD) | 68 | 68 |
| Skewness | 0 | 0 |
| Sum | 37128 | 37128 |
| Variance | 6233.5 | 6233.5 |
| Monotonicity | Strictly increasing | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1 | 0.4% |
| 180 | 1 | 0.4% |
| 186 | 1 | 0.4% |
| 185 | 1 | 0.4% |
| 184 | 1 | 0.4% |
| 183 | 1 | 0.4% |
| 182 | 1 | 0.4% |
| 181 | 1 | 0.4% |
| 179 | 1 | 0.4% |
| 137 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 0 | 1 | 0.4% |
| 180 | 1 | 0.4% |
| 186 | 1 | 0.4% |
| 185 | 1 | 0.4% |
| 184 | 1 | 0.4% |
| 183 | 1 | 0.4% |
| 182 | 1 | 0.4% |
| 181 | 1 | 0.4% |
| 179 | 1 | 0.4% |
| 137 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
feature0
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 232 | 256 |
| Distinct (%) | 85.0% | 93.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.043303354 | -0.023887294 |
| Train | Val | |
|---|---|---|
| Minimum | -2.4034841 | -1.4073684 |
| Maximum | 9.3578895 | 7.0943308 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 165 | 181 |
| Negative (%) | 60.4% | 66.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.4034841 | -1.4073684 |
| 5-th percentile | -0.73438165 | -0.8240431 |
| Q1 | -0.28600599 | -0.6141903 |
| median | -0.098012115 | -0.30915038 |
| Q3 | 0.24025207 | 0.24053893 |
| 95-th percentile | 0.7988849 | 1.7112356 |
| Maximum | 9.3578895 | 7.0943308 |
| Range | 11.761374 | 8.5016991 |
| Interquartile range (IQR) | 0.52625806 | 0.85472923 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.9526731 | 0.95226598 |
| Coefficient of variation (CV) | 21.999984 | -39.864958 |
| Kurtosis | 52.355005 | 14.12781 |
| Mean | 0.043303354 | -0.023887294 |
| Median Absolute Deviation (MAD) | 0.26322809 | 0.37081277 |
| Skewness | 6.0869713 | 2.9710785 |
| Sum | 11.821816 | -6.5212313 |
| Variance | 0.90758604 | 0.9068105 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.098012115 | 42 | 15.4% |
| -0.297258666 | 1 | 0.4% |
| -0.007927677 | 1 | 0.4% |
| -0.602734695 | 1 | 0.4% |
| -0.391130961 | 1 | 0.4% |
| -0.09865503 | 1 | 0.4% |
| 0.765678078 | 1 | 0.4% |
| -0.57802453 | 1 | 0.4% |
| 0.248777363 | 1 | 0.4% |
| -0.04165444 | 1 | 0.4% |
| Other values (222) | 222 |
| Value | Count | Frequency (%) |
| -0.309150382 | 18 | 6.6% |
| -0.842150928 | 1 | 0.4% |
| -0.737922607 | 1 | 0.4% |
| 2.407796215 | 1 | 0.4% |
| -0.617750515 | 1 | 0.4% |
| -0.787225312 | 1 | 0.4% |
| 0.381404083 | 1 | 0.4% |
| 0.197443459 | 1 | 0.4% |
| -0.482013035 | 1 | 0.4% |
| 1.09127686 | 1 | 0.4% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| -2.403484059 | 1 | |
| -2.145709062 | 1 | |
| -1.2353451 | 1 | |
| -1.191860738 | 1 | |
| -1.136010969 | 1 | |
| -1.097330318 | 1 | |
| -0.94253387 | 1 | |
| -0.897282492 | 1 | |
| -0.893149562 | 1 | |
| -0.808419645 | 1 |
| Value | Count | Frequency (%) |
| -1.407368353 | 1 | |
| -0.858403881 | 1 | |
| -0.857855787 | 1 | |
| -0.85770425 | 1 | |
| -0.856455077 | 1 | |
| -0.849571651 | 1 | |
| -0.842150928 | 1 | |
| -0.839184757 | 1 | |
| -0.838880971 | 1 | |
| -0.838089041 | 1 |
| Value | Count | Frequency (%) |
| -1.407368353 | 1 | |
| -0.858403881 | 1 | |
| -0.857855787 | 1 | |
| -0.85770425 | 1 | |
| -0.856455077 | 1 | |
| -0.849571651 | 1 | |
| -0.842150928 | 1 | |
| -0.839184757 | 1 | |
| -0.838880971 | 1 | |
| -0.838089041 | 1 |
| Value | Count | Frequency (%) |
| -2.403484059 | 1 | |
| -2.145709062 | 1 | |
| -1.2353451 | 1 | |
| -1.191860738 | 1 | |
| -1.136010969 | 1 | |
| -1.097330318 | 1 | |
| -0.94253387 | 1 | |
| -0.897282492 | 1 | |
| -0.893149562 | 1 | |
| -0.808419645 | 1 |
feature1
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 9 | 8 |
| Distinct (%) | 3.3% | 2.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.031974124 | 0.078195857 |
| Train | Val | |
|---|---|---|
| Minimum | -5.2005535 | -12.054645 |
| Maximum | 4.5818208 | 7.2089818 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 5 | 2 |
| Negative (%) | 1.8% | 0.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -5.2005535 | -12.054645 |
| 5-th percentile | 0.040348665 | 0.054823912 |
| Q1 | 0.040348665 | 0.054823912 |
| median | 0.040348665 | 0.054823912 |
| Q3 | 0.040348665 | 0.054823912 |
| 95-th percentile | 0.040348665 | 0.054823912 |
| Maximum | 4.5818208 | 7.2089818 |
| Range | 9.7823743 | 19.263627 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.53425773 | 0.97983421 |
| Coefficient of variation (CV) | 16.709065 | 12.530513 |
| Kurtosis | 66.392583 | 101.58302 |
| Mean | 0.031974124 | 0.078195857 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | -0.56194301 | -4.5377084 |
| Sum | 8.7289359 | 21.347469 |
| Variance | 0.28543132 | 0.96007508 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 0.040348665 | 265 | |
| 0.877751598 | 1 | 0.4% |
| 4.581820792 | 1 | 0.4% |
| -1.737060789 | 1 | 0.4% |
| -5.200553529 | 1 | 0.4% |
| -2.980089492 | 1 | 0.4% |
| 3.937594588 | 1 | 0.4% |
| -0.381071715 | 1 | 0.4% |
| -1.061851757 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.054823912 | 266 | |
| -12.05464517 | 1 | 0.4% |
| 0.460436717 | 1 | 0.4% |
| 3.095152861 | 1 | 0.4% |
| 5.639010882 | 1 | 0.4% |
| 7.208981764 | 1 | 0.4% |
| -1.97184924 | 1 | 0.4% |
| 4.387220541 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -5.200553529 | 1 | 0.4% |
| -2.980089492 | 1 | 0.4% |
| -1.737060789 | 1 | 0.4% |
| -1.061851757 | 1 | 0.4% |
| -0.381071715 | 1 | 0.4% |
| 0.040348665 | 265 | |
| 0.877751598 | 1 | 0.4% |
| 3.937594588 | 1 | 0.4% |
| 4.581820792 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -12.05464517 | 1 | 0.4% |
| -1.97184924 | 1 | 0.4% |
| 0.054823912 | 266 | |
| 0.460436717 | 1 | 0.4% |
| 3.095152861 | 1 | 0.4% |
| 4.387220541 | 1 | 0.4% |
| 5.639010882 | 1 | 0.4% |
| 7.208981764 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -12.05464517 | 1 | 0.4% |
| -1.97184924 | 1 | 0.4% |
| 0.054823912 | 266 | |
| 0.460436717 | 1 | 0.4% |
| 3.095152861 | 1 | 0.4% |
| 4.387220541 | 1 | 0.4% |
| 5.639010882 | 1 | 0.4% |
| 7.208981764 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -5.200553529 | 1 | 0.4% |
| -2.980089492 | 1 | 0.4% |
| -1.737060789 | 1 | 0.4% |
| -1.061851757 | 1 | 0.4% |
| -0.381071715 | 1 | 0.4% |
| 0.040348665 | 265 | |
| 0.877751598 | 1 | 0.4% |
| 3.937594588 | 1 | 0.4% |
| 4.581820792 | 1 | 0.4% |
feature2
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 239 | 254 |
| Distinct (%) | 87.5% | 93.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 1.0493802 × 10-5 | -0.024719356 |
| Train | Val | |
|---|---|---|
| Minimum | -8.9647651 | -6.7433717 |
| Maximum | 3.6539619 | 4.5161208 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 262 | 238 |
| Negative (%) | 96.0% | 87.2% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -8.9647651 | -6.7433717 |
| 5-th percentile | -0.10156229 | -0.35362118 |
| Q1 | -0.085822646 | -0.3417178 |
| median | -0.079475633 | -0.32893573 |
| Q3 | -0.070720312 | -0.31906789 |
| 95-th percentile | -0.050661056 | 2.1673477 |
| Maximum | 3.6539619 | 4.5161208 |
| Range | 12.618727 | 11.259493 |
| Interquartile range (IQR) | 0.015102334 | 0.022649907 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.80009222 | 0.97293565 |
| Coefficient of variation (CV) | 76244.263 | -39.359264 |
| Kurtosis | 63.728999 | 11.055043 |
| Mean | 1.0493802 × 10-5 | -0.024719356 |
| Median Absolute Deviation (MAD) | 0.007832013 | 0.011668421 |
| Skewness | -3.2930191 | 0.67916135 |
| Sum | 0.002864808 | -6.7483842 |
| Variance | 0.64014755 | 0.94660378 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.079475633 | 35 | 12.8% |
| -0.085728058 | 1 | 0.4% |
| -0.049191154 | 1 | 0.4% |
| -0.101038383 | 1 | 0.4% |
| -0.068878469 | 1 | 0.4% |
| -0.077799372 | 1 | 0.4% |
| -0.075090417 | 1 | 0.4% |
| -0.083676414 | 1 | 0.4% |
| -0.076463361 | 1 | 0.4% |
| -0.094530731 | 1 | 0.4% |
| Other values (229) | 229 |
| Value | Count | Frequency (%) |
| -0.328935725 | 20 | 7.3% |
| -0.335506627 | 1 | 0.4% |
| -0.316566643 | 1 | 0.4% |
| -0.340027816 | 1 | 0.4% |
| -0.342851857 | 1 | 0.4% |
| -0.326300119 | 1 | 0.4% |
| -0.324174251 | 1 | 0.4% |
| -0.353801569 | 1 | 0.4% |
| -0.305144677 | 1 | 0.4% |
| -0.333484802 | 1 | 0.4% |
| Other values (244) | 244 |
| Value | Count | Frequency (%) |
| -8.964765097 | 1 | |
| -1.423315431 | 1 | |
| -0.118912217 | 1 | |
| -0.117963167 | 1 | |
| -0.107369158 | 1 | |
| -0.105830552 | 1 | |
| -0.105538515 | 1 | |
| -0.105354491 | 1 | |
| -0.105222985 | 1 | |
| -0.105192718 | 1 |
| Value | Count | Frequency (%) |
| -6.743371671 | 1 | |
| -0.367687842 | 1 | |
| -0.363316196 | 1 | |
| -0.361275328 | 1 | |
| -0.360847606 | 1 | |
| -0.360768183 | 1 | |
| -0.359627239 | 1 | |
| -0.359625092 | 1 | |
| -0.358836678 | 1 | |
| -0.357452801 | 1 |
| Value | Count | Frequency (%) |
| -6.743371671 | 1 | |
| -0.367687842 | 1 | |
| -0.363316196 | 1 | |
| -0.361275328 | 1 | |
| -0.360847606 | 1 | |
| -0.360768183 | 1 | |
| -0.359627239 | 1 | |
| -0.359625092 | 1 | |
| -0.358836678 | 1 | |
| -0.357452801 | 1 |
| Value | Count | Frequency (%) |
| -8.964765097 | 1 | |
| -1.423315431 | 1 | |
| -0.118912217 | 1 | |
| -0.117963167 | 1 | |
| -0.107369158 | 1 | |
| -0.105830552 | 1 | |
| -0.105538515 | 1 | |
| -0.105354491 | 1 | |
| -0.105222985 | 1 | |
| -0.105192718 | 1 |
feature3
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 253 | 258 |
| Distinct (%) | 92.7% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.022480209 | 0.042791736 |
| Train | Val | |
|---|---|---|
| Minimum | -2.1315691 | -0.73958024 |
| Maximum | 5.9545646 | 8.7055044 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 180 | 179 |
| Negative (%) | 65.9% | 65.6% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.1315691 | -0.73958024 |
| 5-th percentile | -0.70598591 | -0.70913653 |
| Q1 | -0.53476894 | -0.56186141 |
| median | -0.27314648 | -0.2841411 |
| Q3 | 0.20510979 | 0.25052837 |
| 95-th percentile | 1.4845499 | 1.5617737 |
| Maximum | 5.9545646 | 8.7055044 |
| Range | 8.0861336 | 9.4450847 |
| Interquartile range (IQR) | 0.73987874 | 0.81238977 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.77645034 | 1.0815722 |
| Coefficient of variation (CV) | -34.539284 | 25.275259 |
| Kurtosis | 13.878578 | 22.981021 |
| Mean | -0.022480209 | 0.042791736 |
| Median Absolute Deviation (MAD) | 0.31634193 | 0.34220771 |
| Skewness | 2.7072404 | 4.0206098 |
| Sum | -6.1370971 | 11.682144 |
| Variance | 0.60287513 | 1.1697984 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.282342391 | 21 | 7.7% |
| 0.427488474 | 1 | 0.4% |
| -0.335119277 | 1 | 0.4% |
| -0.63628142 | 1 | 0.4% |
| -0.587384165 | 1 | 0.4% |
| -0.458055951 | 1 | 0.4% |
| 0.381591998 | 1 | 0.4% |
| 0.542403599 | 1 | 0.4% |
| 0.319798525 | 1 | 0.4% |
| -0.680320464 | 1 | 0.4% |
| Other values (243) | 243 |
| Value | Count | Frequency (%) |
| -0.284141097 | 16 | 5.9% |
| -0.515349026 | 1 | 0.4% |
| -0.427180642 | 1 | 0.4% |
| 0.105747875 | 1 | 0.4% |
| -0.677284328 | 1 | 0.4% |
| -0.515249248 | 1 | 0.4% |
| -0.549915702 | 1 | 0.4% |
| -0.21609132 | 1 | 0.4% |
| -0.674804114 | 1 | 0.4% |
| -0.396878449 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -2.131569056 | 1 | |
| -0.73928214 | 1 | |
| -0.737446844 | 1 | |
| -0.73114452 | 1 | |
| -0.729076954 | 1 | |
| -0.728059701 | 1 | |
| -0.727496266 | 1 | |
| -0.724369861 | 1 | |
| -0.718564769 | 1 | |
| -0.717316035 | 1 |
| Value | Count | Frequency (%) |
| -0.739580239 | 1 | |
| -0.73878846 | 1 | |
| -0.735480703 | 1 | |
| -0.734910026 | 1 | |
| -0.734590842 | 1 | |
| -0.73427299 | 1 | |
| -0.73377682 | 1 | |
| -0.732087516 | 1 | |
| -0.731900828 | 1 | |
| -0.730457399 | 1 |
| Value | Count | Frequency (%) |
| -0.739580239 | 1 | |
| -0.73878846 | 1 | |
| -0.735480703 | 1 | |
| -0.734910026 | 1 | |
| -0.734590842 | 1 | |
| -0.73427299 | 1 | |
| -0.73377682 | 1 | |
| -0.732087516 | 1 | |
| -0.731900828 | 1 | |
| -0.730457399 | 1 |
| Value | Count | Frequency (%) |
| -2.131569056 | 1 | |
| -0.73928214 | 1 | |
| -0.737446844 | 1 | |
| -0.73114452 | 1 | |
| -0.729076954 | 1 | |
| -0.728059701 | 1 | |
| -0.727496266 | 1 | |
| -0.724369861 | 1 | |
| -0.718564769 | 1 | |
| -0.717316035 | 1 |
feature4
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 234 | 257 |
| Distinct (%) | 85.7% | 94.1% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.07213611 | -0.018511752 |
| Train | Val | |
|---|---|---|
| Minimum | -2.1019587 | -2.6783973 |
| Maximum | 9.731242 | 9.0054835 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 178 | 156 |
| Negative (%) | 65.2% | 57.1% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.1019587 | -2.6783973 |
| 5-th percentile | -0.87153243 | -0.9418815 |
| Q1 | -0.39791342 | -0.44030252 |
| median | -0.074085703 | -0.071087201 |
| Q3 | 0.13163939 | 0.34194791 |
| 95-th percentile | 0.71149752 | 0.88424893 |
| Maximum | 9.731242 | 9.0054835 |
| Range | 11.833201 | 11.683881 |
| Interquartile range (IQR) | 0.52955281 | 0.78225042 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.96481638 | 0.77880663 |
| Coefficient of variation (CV) | -13.374943 | -42.07093 |
| Kurtosis | 73.501988 | 65.897158 |
| Mean | -0.07213611 | -0.018511752 |
| Median Absolute Deviation (MAD) | 0.27547347 | 0.38145236 |
| Skewness | 7.3188794 | 5.6324858 |
| Sum | -19.693158 | -5.0537083 |
| Variance | 0.93087065 | 0.60653977 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.074085703 | 40 | 14.7% |
| -0.332198148 | 1 | 0.4% |
| -1.521177019 | 1 | 0.4% |
| -0.027818095 | 1 | 0.4% |
| -0.731277756 | 1 | 0.4% |
| -0.70975895 | 1 | 0.4% |
| -0.199840542 | 1 | 0.4% |
| 0.127448784 | 1 | 0.4% |
| -0.511289769 | 1 | 0.4% |
| -0.522958162 | 1 | 0.4% |
| Other values (224) | 224 |
| Value | Count | Frequency (%) |
| -0.071087201 | 17 | 6.2% |
| -0.726882669 | 1 | 0.4% |
| -0.063212507 | 1 | 0.4% |
| 0.377224843 | 1 | 0.4% |
| -0.243044219 | 1 | 0.4% |
| 0.369571646 | 1 | 0.4% |
| -0.044187453 | 1 | 0.4% |
| -0.055294741 | 1 | 0.4% |
| -0.251044071 | 1 | 0.4% |
| -0.887037504 | 1 | 0.4% |
| Other values (247) | 247 |
| Value | Count | Frequency (%) |
| -2.10195867 | 1 | |
| -2.089481936 | 1 | |
| -1.880990091 | 1 | |
| -1.828687669 | 1 | |
| -1.589217122 | 1 | |
| -1.521177019 | 1 | |
| -1.39933628 | 1 | |
| -1.205147673 | 1 | |
| -1.136676045 | 1 | |
| -1.122497968 | 1 |
| Value | Count | Frequency (%) |
| -2.678397279 | 1 | |
| -1.362363953 | 1 | |
| -1.335171278 | 1 | |
| -1.241016214 | 1 | |
| -1.234789991 | 1 | |
| -1.094596658 | 1 | |
| -1.093860765 | 1 | |
| -1.084658831 | 1 | |
| -1.05904285 | 1 | |
| -1.058653247 | 1 |
| Value | Count | Frequency (%) |
| -2.678397279 | 1 | |
| -1.362363953 | 1 | |
| -1.335171278 | 1 | |
| -1.241016214 | 1 | |
| -1.234789991 | 1 | |
| -1.094596658 | 1 | |
| -1.093860765 | 1 | |
| -1.084658831 | 1 | |
| -1.05904285 | 1 | |
| -1.058653247 | 1 |
| Value | Count | Frequency (%) |
| -2.10195867 | 1 | |
| -2.089481936 | 1 | |
| -1.880990091 | 1 | |
| -1.828687669 | 1 | |
| -1.589217122 | 1 | |
| -1.521177019 | 1 | |
| -1.39933628 | 1 | |
| -1.205147673 | 1 | |
| -1.136676045 | 1 | |
| -1.122497968 | 1 |
feature5
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.033142046 | 0.020996052 |
| Train | Val | |
|---|---|---|
| Minimum | -2.8141859 | -1.3887434 |
| Maximum | 7.5969687 | 9.681835 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 169 | 184 |
| Negative (%) | 61.9% | 67.4% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.8141859 | -1.3887434 |
| 5-th percentile | -0.81355557 | -0.91985349 |
| Q1 | -0.50468583 | -0.61816114 |
| median | -0.22844746 | -0.30322373 |
| Q3 | 0.41406662 | 0.41041734 |
| 95-th percentile | 0.91725875 | 1.9700573 |
| Maximum | 7.5969687 | 9.681835 |
| Range | 10.411155 | 11.070578 |
| Interquartile range (IQR) | 0.91875245 | 1.0285785 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.80537403 | 1.0682236 |
| Coefficient of variation (CV) | -24.300673 | 50.877354 |
| Kurtosis | 30.741833 | 24.346678 |
| Mean | -0.033142046 | 0.020996052 |
| Median Absolute Deviation (MAD) | 0.35159463 | 0.36902538 |
| Skewness | 3.7320797 | 3.4900037 |
| Sum | -9.0477786 | 5.7319221 |
| Variance | 0.64862733 | 1.1411016 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.382555883 | 1 | 0.4% |
| -0.137012749 | 1 | 0.4% |
| -0.806761524 | 1 | 0.4% |
| -0.522976307 | 1 | 0.4% |
| -0.494582032 | 1 | 0.4% |
| -0.248232753 | 1 | 0.4% |
| -0.490962376 | 1 | 0.4% |
| 0.688750986 | 1 | 0.4% |
| 0.495297069 | 1 | 0.4% |
| 0.984580996 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.561129612 | 1 | 0.4% |
| -1.106724762 | 1 | 0.4% |
| -0.302968056 | 1 | 0.4% |
| -0.927146615 | 1 | 0.4% |
| 0.726628231 | 1 | 0.4% |
| -0.184702099 | 1 | 0.4% |
| -0.871050024 | 1 | 0.4% |
| 0.418600863 | 1 | 0.4% |
| -0.566046123 | 1 | 0.4% |
| 2.064416422 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.814185876 | 1 | |
| -1.094085515 | 1 | |
| -1.073878805 | 1 | |
| -1.027886539 | 1 | |
| -0.971554357 | 1 | |
| -0.946551599 | 1 | |
| -0.912699094 | 1 | |
| -0.890415874 | 1 | |
| -0.883263061 | 1 | |
| -0.859094073 | 1 |
| Value | Count | Frequency (%) |
| -1.388743362 | 1 | |
| -1.174789979 | 1 | |
| -1.128998995 | 1 | |
| -1.107883681 | 1 | |
| -1.106724762 | 1 | |
| -1.058069414 | 1 | |
| -1.043867638 | 1 | |
| -1.039137119 | 1 | |
| -0.988391286 | 1 | |
| -0.977120752 | 1 |
| Value | Count | Frequency (%) |
| -1.388743362 | 1 | |
| -1.174789979 | 1 | |
| -1.128998995 | 1 | |
| -1.107883681 | 1 | |
| -1.106724762 | 1 | |
| -1.058069414 | 1 | |
| -1.043867638 | 1 | |
| -1.039137119 | 1 | |
| -0.988391286 | 1 | |
| -0.977120752 | 1 |
| Value | Count | Frequency (%) |
| -2.814185876 | 1 | |
| -1.094085515 | 1 | |
| -1.073878805 | 1 | |
| -1.027886539 | 1 | |
| -0.971554357 | 1 | |
| -0.946551599 | 1 | |
| -0.912699094 | 1 | |
| -0.890415874 | 1 | |
| -0.883263061 | 1 | |
| -0.859094073 | 1 |
feature6
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.11941735 | 0.01934916 |
| Train | Val | |
|---|---|---|
| Minimum | -1.9096394 | -0.63768576 |
| Maximum | 6.6025507 | 14.77338 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 176 | 207 |
| Negative (%) | 64.5% | 75.8% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.9096394 | -0.63768576 |
| 5-th percentile | -1.1299294 | -0.38044895 |
| Q1 | -0.52393062 | -0.22112197 |
| median | -0.19150191 | -0.11977117 |
| Q3 | 0.1763711 | -0.006001744 |
| 95-th percentile | 0.72651348 | 0.18139022 |
| Maximum | 6.6025507 | 14.77338 |
| Range | 8.51219 | 15.411066 |
| Interquartile range (IQR) | 0.70030172 | 0.21512023 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.80678006 | 1.1678371 |
| Coefficient of variation (CV) | -6.7559703 | 60.355959 |
| Kurtosis | 19.880471 | 114.32222 |
| Mean | -0.11941735 | 0.01934916 |
| Median Absolute Deviation (MAD) | 0.35471711 | 0.10732578 |
| Skewness | 3.0872471 | 10.161308 |
| Sum | -32.600936 | 5.2823208 |
| Variance | 0.65089407 | 1.3638436 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.281657495 | 1 | 0.4% |
| 0.228539137 | 1 | 0.4% |
| 0.036714483 | 1 | 0.4% |
| 1.08911426 | 1 | 0.4% |
| -0.03419672 | 1 | 0.4% |
| -0.181739096 | 1 | 0.4% |
| 2.449249587 | 1 | 0.4% |
| -0.520614773 | 1 | 0.4% |
| -0.5075664 | 1 | 0.4% |
| 0.462789804 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.323176799 | 1 | 0.4% |
| -0.111387737 | 1 | 0.4% |
| -0.20961018 | 1 | 0.4% |
| 0.005956285 | 1 | 0.4% |
| -0.452200161 | 1 | 0.4% |
| -0.491435314 | 1 | 0.4% |
| -0.287067388 | 1 | 0.4% |
| -0.22112197 | 1 | 0.4% |
| 0.024222658 | 1 | 0.4% |
| -0.451371267 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.909639354 | 1 | |
| -1.685112392 | 1 | |
| -1.500171468 | 1 | |
| -1.387999125 | 1 | |
| -1.338675891 | 1 | |
| -1.333947017 | 1 | |
| -1.331687267 | 1 | |
| -1.271797974 | 1 | |
| -1.218870075 | 1 | |
| -1.202351032 | 1 |
| Value | Count | Frequency (%) |
| -0.637685763 | 1 | |
| -0.613795318 | 1 | |
| -0.539112895 | 1 | |
| -0.491435314 | 1 | |
| -0.452200161 | 1 | |
| -0.451371267 | 1 | |
| -0.428570126 | 1 | |
| -0.4224803 | 1 | |
| -0.416190979 | 1 | |
| -0.404755094 | 1 |
| Value | Count | Frequency (%) |
| -0.637685763 | 1 | |
| -0.613795318 | 1 | |
| -0.539112895 | 1 | |
| -0.491435314 | 1 | |
| -0.452200161 | 1 | |
| -0.451371267 | 1 | |
| -0.428570126 | 1 | |
| -0.4224803 | 1 | |
| -0.416190979 | 1 | |
| -0.404755094 | 1 |
| Value | Count | Frequency (%) |
| -1.909639354 | 1 | |
| -1.685112392 | 1 | |
| -1.500171468 | 1 | |
| -1.387999125 | 1 | |
| -1.338675891 | 1 | |
| -1.333947017 | 1 | |
| -1.331687267 | 1 | |
| -1.271797974 | 1 | |
| -1.218870075 | 1 | |
| -1.202351032 | 1 |
feature7
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 248 | 259 |
| Distinct (%) | 90.8% | 94.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.022902327 | -0.017224734 |
| Train | Val | |
|---|---|---|
| Minimum | -1.4293644 | -2.5618177 |
| Maximum | 7.7651188 | 8.4761482 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 167 | 152 |
| Negative (%) | 61.2% | 55.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.4293644 | -2.5618177 |
| 5-th percentile | -1.0073391 | -1.0129872 |
| Q1 | -0.44705196 | -0.40317117 |
| median | -0.097880732 | -0.075429738 |
| Q3 | 0.26903349 | 0.28437566 |
| 95-th percentile | 0.79760975 | 0.82971956 |
| Maximum | 7.7651188 | 8.4761482 |
| Range | 9.1944832 | 11.037966 |
| Interquartile range (IQR) | 0.71608545 | 0.68754682 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.91451837 | 0.84203471 |
| Coefficient of variation (CV) | -39.931241 | -48.885208 |
| Kurtosis | 33.232945 | 41.484918 |
| Mean | -0.022902327 | -0.017224734 |
| Median Absolute Deviation (MAD) | 0.35212733 | 0.35339877 |
| Skewness | 4.7118479 | 4.5217785 |
| Sum | -6.2523354 | -4.7023524 |
| Variance | 0.83634384 | 0.70902245 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.097880732 | 26 | 9.5% |
| 0.697149167 | 1 | 0.4% |
| -0.335980681 | 1 | 0.4% |
| -0.682954106 | 1 | 0.4% |
| 0.409927181 | 1 | 0.4% |
| -0.591447985 | 1 | 0.4% |
| -0.452984604 | 1 | 0.4% |
| 0.327566853 | 1 | 0.4% |
| 0.807065175 | 1 | 0.4% |
| 0.320578252 | 1 | 0.4% |
| Other values (238) | 238 |
| Value | Count | Frequency (%) |
| -0.077381152 | 15 | 5.5% |
| 0.462785602 | 1 | 0.4% |
| -0.594701488 | 1 | 0.4% |
| 0.405639844 | 1 | 0.4% |
| -0.098193531 | 1 | 0.4% |
| -0.31812639 | 1 | 0.4% |
| 0.416691441 | 1 | 0.4% |
| -0.730041717 | 1 | 0.4% |
| -1.190501766 | 1 | 0.4% |
| -1.013166842 | 1 | 0.4% |
| Other values (249) | 249 |
| Value | Count | Frequency (%) |
| -1.429364387 | 1 | |
| -1.406629893 | 1 | |
| -1.386758023 | 1 | |
| -1.314700221 | 1 | |
| -1.231873986 | 1 | |
| -1.207335747 | 1 | |
| -1.141140482 | 1 | |
| -1.11799266 | 1 | |
| -1.086178097 | 1 | |
| -1.074188667 | 1 |
| Value | Count | Frequency (%) |
| -2.561817731 | 1 | |
| -1.50784706 | 1 | |
| -1.318444976 | 1 | |
| -1.254805611 | 1 | |
| -1.206538743 | 1 | |
| -1.190501766 | 1 | |
| -1.165962058 | 1 | |
| -1.132375275 | 1 | |
| -1.111877821 | 1 | |
| -1.111543576 | 1 |
| Value | Count | Frequency (%) |
| -2.561817731 | 1 | |
| -1.50784706 | 1 | |
| -1.318444976 | 1 | |
| -1.254805611 | 1 | |
| -1.206538743 | 1 | |
| -1.190501766 | 1 | |
| -1.165962058 | 1 | |
| -1.132375275 | 1 | |
| -1.111877821 | 1 | |
| -1.111543576 | 1 |
| Value | Count | Frequency (%) |
| -1.429364387 | 1 | |
| -1.406629893 | 1 | |
| -1.386758023 | 1 | |
| -1.314700221 | 1 | |
| -1.231873986 | 1 | |
| -1.207335747 | 1 | |
| -1.141140482 | 1 | |
| -1.11799266 | 1 | |
| -1.086178097 | 1 | |
| -1.074188667 | 1 |
feature8
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 242 | 258 |
| Distinct (%) | 88.6% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.046381437 | 0.010316088 |
| Train | Val | |
|---|---|---|
| Minimum | -2.7965195 | -2.1666672 |
| Maximum | 5.6261681 | 8.2507868 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 167 | 158 |
| Negative (%) | 61.2% | 57.9% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.7965195 | -2.1666672 |
| 5-th percentile | -1.1662083 | -1.1429325 |
| Q1 | -0.42608161 | -0.44299176 |
| median | -0.082167921 | -0.068164562 |
| Q3 | 0.27650748 | 0.28914621 |
| 95-th percentile | 1.147523 | 1.1467164 |
| Maximum | 5.6261681 | 8.2507868 |
| Range | 8.4226876 | 10.417454 |
| Interquartile range (IQR) | 0.70258908 | 0.73213797 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.78723485 | 0.98405465 |
| Coefficient of variation (CV) | -16.973059 | 95.390291 |
| Kurtosis | 10.819191 | 23.790649 |
| Mean | -0.046381437 | 0.010316088 |
| Median Absolute Deviation (MAD) | 0.35771287 | 0.36526424 |
| Skewness | 1.5934667 | 3.5865449 |
| Sum | -12.662132 | 2.8162921 |
| Variance | 0.61973871 | 0.96836356 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.082167921 | 32 | 11.7% |
| 0.16423548 | 1 | 0.4% |
| -0.045220047 | 1 | 0.4% |
| 0.260968035 | 1 | 0.4% |
| -0.135470421 | 1 | 0.4% |
| 0.468677529 | 1 | 0.4% |
| 0.313767039 | 1 | 0.4% |
| -0.277781172 | 1 | 0.4% |
| -0.365287004 | 1 | 0.4% |
| 0.904038579 | 1 | 0.4% |
| Other values (232) | 232 |
| Value | Count | Frequency (%) |
| -0.068164562 | 16 | 5.9% |
| -0.17558415 | 1 | 0.4% |
| -0.112967504 | 1 | 0.4% |
| 0.967308956 | 1 | 0.4% |
| -0.770787885 | 1 | 0.4% |
| 0.153509185 | 1 | 0.4% |
| -0.727743181 | 1 | 0.4% |
| -0.724107128 | 1 | 0.4% |
| -0.043880294 | 1 | 0.4% |
| -0.209581667 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -2.796519456 | 1 | |
| -2.010581833 | 1 | |
| -1.786660407 | 1 | |
| -1.691057394 | 1 | |
| -1.641333397 | 1 | |
| -1.501251578 | 1 | |
| -1.471406285 | 1 | |
| -1.461944956 | 1 | |
| -1.353273834 | 1 | |
| -1.320700346 | 1 |
| Value | Count | Frequency (%) |
| -2.166667195 | 1 | |
| -1.883407209 | 1 | |
| -1.8569624 | 1 | |
| -1.468889186 | 1 | |
| -1.450186553 | 1 | |
| -1.435412076 | 1 | |
| -1.346841483 | 1 | |
| -1.274966998 | 1 | |
| -1.259470391 | 1 | |
| -1.254293731 | 1 |
| Value | Count | Frequency (%) |
| -2.166667195 | 1 | |
| -1.883407209 | 1 | |
| -1.8569624 | 1 | |
| -1.468889186 | 1 | |
| -1.450186553 | 1 | |
| -1.435412076 | 1 | |
| -1.346841483 | 1 | |
| -1.274966998 | 1 | |
| -1.259470391 | 1 | |
| -1.254293731 | 1 |
| Value | Count | Frequency (%) |
| -2.796519456 | 1 | |
| -2.010581833 | 1 | |
| -1.786660407 | 1 | |
| -1.691057394 | 1 | |
| -1.641333397 | 1 | |
| -1.501251578 | 1 | |
| -1.471406285 | 1 | |
| -1.461944956 | 1 | |
| -1.353273834 | 1 | |
| -1.320700346 | 1 |
feature9
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.028711474 | 0.0980841 |
| Train | Val | |
|---|---|---|
| Minimum | -1.8970036 | -1.8025502 |
| Maximum | 7.5925369 | 9.3809192 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 154 | 147 |
| Negative (%) | 56.4% | 53.8% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.8970036 | -1.8025502 |
| 5-th percentile | -1.0864743 | -1.0681275 |
| Q1 | -0.49748034 | -0.5040082 |
| median | -0.080035053 | -0.057023699 |
| Q3 | 0.32875363 | 0.47890181 |
| 95-th percentile | 1.0631046 | 1.4053846 |
| Maximum | 7.5925369 | 9.3809192 |
| Range | 9.4895405 | 11.183469 |
| Interquartile range (IQR) | 0.82623397 | 0.98291001 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.9911795 | 1.2197075 |
| Coefficient of variation (CV) | 34.52207 | 12.435323 |
| Kurtosis | 18.831719 | 28.756451 |
| Mean | 0.028711474 | 0.0980841 |
| Median Absolute Deviation (MAD) | 0.41558749 | 0.47907379 |
| Skewness | 3.3908126 | 4.3389218 |
| Sum | 7.8382323 | 26.776959 |
| Variance | 0.9824368 | 1.4876863 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.074719271 | 1 | 0.4% |
| -0.375099517 | 1 | 0.4% |
| -0.096101593 | 1 | 0.4% |
| 0.005736242 | 1 | 0.4% |
| 0.458955568 | 1 | 0.4% |
| -0.249507015 | 1 | 0.4% |
| 0.503699692 | 1 | 0.4% |
| -0.536642475 | 1 | 0.4% |
| -0.504747331 | 1 | 0.4% |
| 0.397370481 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 1.397041375 | 1 | 0.4% |
| -1.683598275 | 1 | 0.4% |
| 0.916329557 | 1 | 0.4% |
| -0.505310554 | 1 | 0.4% |
| 0.317458296 | 1 | 0.4% |
| 0.576324665 | 1 | 0.4% |
| -0.782074341 | 1 | 0.4% |
| 0.309946481 | 1 | 0.4% |
| 0.825140568 | 1 | 0.4% |
| -0.342319822 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.89700363 | 1 | |
| -1.675115023 | 1 | |
| -1.480883048 | 1 | |
| -1.42726157 | 1 | |
| -1.417787115 | 1 | |
| -1.381133257 | 1 | |
| -1.319977903 | 1 | |
| -1.318896788 | 1 | |
| -1.291201706 | 1 | |
| -1.191967593 | 1 |
| Value | Count | Frequency (%) |
| -1.80255025 | 1 | |
| -1.775761452 | 1 | |
| -1.687404708 | 1 | |
| -1.683598275 | 1 | |
| -1.592833476 | 1 | |
| -1.348228252 | 1 | |
| -1.326926493 | 1 | |
| -1.311552145 | 1 | |
| -1.260319397 | 1 | |
| -1.225041956 | 1 |
| Value | Count | Frequency (%) |
| -1.80255025 | 1 | |
| -1.775761452 | 1 | |
| -1.687404708 | 1 | |
| -1.683598275 | 1 | |
| -1.592833476 | 1 | |
| -1.348228252 | 1 | |
| -1.326926493 | 1 | |
| -1.311552145 | 1 | |
| -1.260319397 | 1 | |
| -1.225041956 | 1 |
| Value | Count | Frequency (%) |
| -1.89700363 | 1 | |
| -1.675115023 | 1 | |
| -1.480883048 | 1 | |
| -1.42726157 | 1 | |
| -1.417787115 | 1 | |
| -1.381133257 | 1 | |
| -1.319977903 | 1 | |
| -1.318896788 | 1 | |
| -1.291201706 | 1 | |
| -1.191967593 | 1 |
feature10
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 244 | 262 |
| Distinct (%) | 89.4% | 96.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.024057265 | 0.047648602 |
| Train | Val | |
|---|---|---|
| Minimum | -5.0481563 | -0.81645993 |
| Maximum | 6.4555149 | 11.274888 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 42 | 108 |
| Negative (%) | 15.4% | 39.6% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -5.0481563 | -0.81645993 |
| 5-th percentile | -1.4147227 | -0.70777299 |
| Q1 | 0.18829528 | -0.58738493 |
| median | 0.24388392 | 0.22163015 |
| Q3 | 0.27715363 | 0.27753522 |
| 95-th percentile | 0.2956365 | 0.29458413 |
| Maximum | 6.4555149 | 11.274888 |
| Range | 11.503671 | 12.091348 |
| Interquartile range (IQR) | 0.088858351 | 0.86492015 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.78102389 | 1.1679584 |
| Coefficient of variation (CV) | 32.465199 | 24.511913 |
| Kurtosis | 24.641163 | 60.163522 |
| Mean | 0.024057265 | 0.047648602 |
| Median Absolute Deviation (MAD) | 0.036551001 | 0.068046508 |
| Skewness | -0.08570759 | 7.015408 |
| Sum | 6.5676333 | 13.008068 |
| Variance | 0.60999832 | 1.3641268 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.243883923 | 30 | 11.0% |
| 0.217311064 | 1 | 0.4% |
| 0.303179125 | 1 | 0.4% |
| -1.421701533 | 1 | 0.4% |
| 0.229342034 | 1 | 0.4% |
| 0.282355886 | 1 | 0.4% |
| 0.248610459 | 1 | 0.4% |
| 0.27751666 | 1 | 0.4% |
| -1.331703628 | 1 | 0.4% |
| 0.278608229 | 1 | 0.4% |
| Other values (234) | 234 |
| Value | Count | Frequency (%) |
| 0.221630151 | 12 | 4.4% |
| -0.605763611 | 1 | 0.4% |
| -0.652449136 | 1 | 0.4% |
| 0.281454126 | 1 | 0.4% |
| -0.650013461 | 1 | 0.4% |
| 0.197478405 | 1 | 0.4% |
| -0.702504871 | 1 | 0.4% |
| 0.211820026 | 1 | 0.4% |
| 0.294649976 | 1 | 0.4% |
| 0.283143333 | 1 | 0.4% |
| Other values (252) | 252 |
| Value | Count | Frequency (%) |
| -5.048156257 | 1 | |
| -3.628642953 | 1 | |
| -2.460969253 | 1 | |
| -2.435499541 | 1 | |
| -1.505116867 | 1 | |
| -1.456521994 | 1 | |
| -1.448137284 | 1 | |
| -1.447328309 | 1 | |
| -1.444945442 | 1 | |
| -1.438808739 | 1 |
| Value | Count | Frequency (%) |
| -0.816459931 | 1 | |
| -0.803331517 | 1 | |
| -0.798646258 | 1 | |
| -0.795813594 | 1 | |
| -0.79277933 | 1 | |
| -0.792411834 | 1 | |
| -0.792282028 | 1 | |
| -0.781257305 | 1 | |
| -0.761232854 | 1 | |
| -0.723886585 | 1 |
| Value | Count | Frequency (%) |
| -0.816459931 | 1 | |
| -0.803331517 | 1 | |
| -0.798646258 | 1 | |
| -0.795813594 | 1 | |
| -0.79277933 | 1 | |
| -0.792411834 | 1 | |
| -0.792282028 | 1 | |
| -0.781257305 | 1 | |
| -0.761232854 | 1 | |
| -0.723886585 | 1 |
| Value | Count | Frequency (%) |
| -5.048156257 | 1 | |
| -3.628642953 | 1 | |
| -2.460969253 | 1 | |
| -2.435499541 | 1 | |
| -1.505116867 | 1 | |
| -1.456521994 | 1 | |
| -1.448137284 | 1 | |
| -1.447328309 | 1 | |
| -1.444945442 | 1 | |
| -1.438808739 | 1 |
feature11
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 242 | 256 |
| Distinct (%) | 88.6% | 93.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.066917258 | -0.02616838 |
| Train | Val | |
|---|---|---|
| Minimum | -2.162603 | -0.81478791 |
| Maximum | 7.1926107 | 9.5631894 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 178 | 182 |
| Negative (%) | 65.2% | 66.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.162603 | -0.81478791 |
| 5-th percentile | -0.95680825 | -0.77380341 |
| Q1 | -0.44444673 | -0.62825915 |
| median | -0.075303832 | -0.29615023 |
| Q3 | 0.1319548 | 0.19368232 |
| 95-th percentile | 0.74355421 | 1.3288053 |
| Maximum | 7.1926107 | 9.5631894 |
| Range | 9.3552137 | 10.377977 |
| Interquartile range (IQR) | 0.57640153 | 0.82194147 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.90055799 | 1.0710978 |
| Coefficient of variation (CV) | -13.457784 | -40.930995 |
| Kurtosis | 43.483536 | 42.609085 |
| Mean | -0.066917258 | -0.02616838 |
| Median Absolute Deviation (MAD) | 0.2979529 | 0.37865417 |
| Skewness | 5.5654272 | 5.4550882 |
| Sum | -18.268412 | -7.1439677 |
| Variance | 0.81100469 | 1.1472506 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.075303832 | 32 | 11.7% |
| 0.088783055 | 1 | 0.4% |
| -0.408368775 | 1 | 0.4% |
| 0.04315803 | 1 | 0.4% |
| 0.10919484 | 1 | 0.4% |
| 0.099526575 | 1 | 0.4% |
| -0.273005877 | 1 | 0.4% |
| -0.021711555 | 1 | 0.4% |
| 0.06812824 | 1 | 0.4% |
| 0.465835151 | 1 | 0.4% |
| Other values (232) | 232 |
| Value | Count | Frequency (%) |
| -0.29615023 | 18 | 6.6% |
| 0.056142501 | 1 | 0.4% |
| -0.202426089 | 1 | 0.4% |
| -0.393283911 | 1 | 0.4% |
| -0.49863454 | 1 | 0.4% |
| -0.660117426 | 1 | 0.4% |
| -0.712080033 | 1 | 0.4% |
| -0.636393219 | 1 | 0.4% |
| -0.067224661 | 1 | 0.4% |
| 0.133494294 | 1 | 0.4% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| -2.162602962 | 1 | |
| -1.854438273 | 1 | |
| -1.261590744 | 1 | |
| -1.201369955 | 1 | |
| -1.138832124 | 1 | |
| -1.081700065 | 1 | |
| -1.051820641 | 1 | |
| -1.044657123 | 1 | |
| -1.0352974 | 1 | |
| -0.990521843 | 1 |
| Value | Count | Frequency (%) |
| -0.814787908 | 1 | |
| -0.814469782 | 1 | |
| -0.810821313 | 1 | |
| -0.809713956 | 1 | |
| -0.80231744 | 1 | |
| -0.80216196 | 1 | |
| -0.793539233 | 1 | |
| -0.791593504 | 1 | |
| -0.787953008 | 1 | |
| -0.78747739 | 1 |
| Value | Count | Frequency (%) |
| -0.814787908 | 1 | |
| -0.814469782 | 1 | |
| -0.810821313 | 1 | |
| -0.809713956 | 1 | |
| -0.80231744 | 1 | |
| -0.80216196 | 1 | |
| -0.793539233 | 1 | |
| -0.791593504 | 1 | |
| -0.787953008 | 1 | |
| -0.78747739 | 1 |
| Value | Count | Frequency (%) |
| -2.162602962 | 1 | |
| -1.854438273 | 1 | |
| -1.261590744 | 1 | |
| -1.201369955 | 1 | |
| -1.138832124 | 1 | |
| -1.081700065 | 1 | |
| -1.051820641 | 1 | |
| -1.044657123 | 1 | |
| -1.0352974 | 1 | |
| -0.990521843 | 1 |
feature12
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 240 | 256 |
| Distinct (%) | 87.9% | 93.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.044392333 | -0.089287771 |
| Train | Val | |
|---|---|---|
| Minimum | -2.0129029 | -1.5918198 |
| Maximum | 8.2140757 | 7.634201 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 167 | 172 |
| Negative (%) | 61.2% | 63.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.0129029 | -1.5918198 |
| 5-th percentile | -0.84944684 | -1.0161114 |
| Q1 | -0.42882855 | -0.58417813 |
| median | -0.10060961 | -0.099220791 |
| Q3 | 0.1956114 | 0.2911549 |
| 95-th percentile | 0.62027821 | 0.77013307 |
| Maximum | 8.2140757 | 7.634201 |
| Range | 10.226979 | 9.2260208 |
| Interquartile range (IQR) | 0.62443994 | 0.87533303 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.8741491 | 0.77621593 |
| Coefficient of variation (CV) | -19.691443 | -8.6934181 |
| Kurtosis | 49.425377 | 37.454526 |
| Mean | -0.044392333 | -0.089287771 |
| Median Absolute Deviation (MAD) | 0.32115812 | 0.44616446 |
| Skewness | 5.813961 | 4.2346074 |
| Sum | -12.119107 | -24.375562 |
| Variance | 0.76413666 | 0.60251117 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.100609614 | 34 | 12.5% |
| 0.141902714 | 1 | 0.4% |
| -0.172356413 | 1 | 0.4% |
| 0.194526944 | 1 | 0.4% |
| 0.103622011 | 1 | 0.4% |
| -0.865008385 | 1 | 0.4% |
| -0.11650909 | 1 | 0.4% |
| 0.630174777 | 1 | 0.4% |
| -0.07962013 | 1 | 0.4% |
| 0.317173369 | 1 | 0.4% |
| Other values (230) | 230 |
| Value | Count | Frequency (%) |
| -0.080443907 | 18 | 6.6% |
| -0.194174125 | 1 | 0.4% |
| -0.645024379 | 1 | 0.4% |
| 0.134308975 | 1 | 0.4% |
| -0.65018359 | 1 | 0.4% |
| -0.016296265 | 1 | 0.4% |
| -0.228985159 | 1 | 0.4% |
| -0.710111914 | 1 | 0.4% |
| -0.662861436 | 1 | 0.4% |
| -0.450640519 | 1 | 0.4% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| -2.012902884 | 1 | |
| -2.010365088 | 1 | |
| -0.935211434 | 1 | |
| -0.896842463 | 1 | |
| -0.89477217 | 1 | |
| -0.89110332 | 1 | |
| -0.889134984 | 1 | |
| -0.885928154 | 1 | |
| -0.876200788 | 1 | |
| -0.871103324 | 1 |
| Value | Count | Frequency (%) |
| -1.591819822 | 1 | |
| -1.390923025 | 1 | |
| -1.059210206 | 1 | |
| -1.056969102 | 1 | |
| -1.056364241 | 1 | |
| -1.046697751 | 1 | |
| -1.046635006 | 1 | |
| -1.044966124 | 1 | |
| -1.037228232 | 1 | |
| -1.03062654 | 1 |
| Value | Count | Frequency (%) |
| -1.591819822 | 1 | |
| -1.390923025 | 1 | |
| -1.059210206 | 1 | |
| -1.056969102 | 1 | |
| -1.056364241 | 1 | |
| -1.046697751 | 1 | |
| -1.046635006 | 1 | |
| -1.044966124 | 1 | |
| -1.037228232 | 1 | |
| -1.03062654 | 1 |
| Value | Count | Frequency (%) |
| -2.012902884 | 1 | |
| -2.010365088 | 1 | |
| -0.935211434 | 1 | |
| -0.896842463 | 1 | |
| -0.89477217 | 1 | |
| -0.89110332 | 1 | |
| -0.889134984 | 1 | |
| -0.885928154 | 1 | |
| -0.876200788 | 1 | |
| -0.871103324 | 1 |
feature13
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.035882425 | -0.004157473 |
| Train | Val | |
|---|---|---|
| Minimum | -1.3245992 | -1.8201398 |
| Maximum | 6.6264138 | 6.8407744 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 153 | 193 |
| Negative (%) | 56.0% | 70.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.3245992 | -1.8201398 |
| 5-th percentile | -1.0909253 | -0.77395426 |
| Q1 | -0.51582429 | -0.43397395 |
| median | -0.12706935 | -0.2274267 |
| Q3 | 0.28801917 | 0.077500965 |
| 95-th percentile | 1.7709387 | 1.1074961 |
| Maximum | 6.6264138 | 6.8407744 |
| Range | 7.951013 | 8.6609141 |
| Interquartile range (IQR) | 0.80384347 | 0.51147491 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0275778 | 0.99020838 |
| Coefficient of variation (CV) | 28.637358 | -238.17554 |
| Kurtosis | 15.508626 | 22.875671 |
| Mean | 0.035882425 | -0.004157473 |
| Median Absolute Deviation (MAD) | 0.40066451 | 0.23338363 |
| Skewness | 3.1869637 | 4.2510626 |
| Sum | 9.795902 | -1.1349901 |
| Variance | 1.0559162 | 0.98051264 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.547695975 | 1 | 0.4% |
| 0.28501362 | 1 | 0.4% |
| -0.006913715 | 1 | 0.4% |
| 0.781090224 | 1 | 0.4% |
| 0.000148222 | 1 | 0.4% |
| 0.123032246 | 1 | 0.4% |
| 0.485971171 | 1 | 0.4% |
| -1.209565716 | 1 | 0.4% |
| -0.14937569 | 1 | 0.4% |
| -0.843547248 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.365745524 | 1 | 0.4% |
| 0.791824501 | 1 | 0.4% |
| -0.630807631 | 1 | 0.4% |
| 0.409901071 | 1 | 0.4% |
| -0.654983327 | 1 | 0.4% |
| 0.605324349 | 1 | 0.4% |
| 0.831378327 | 1 | 0.4% |
| 0.503852183 | 1 | 0.4% |
| -0.341847172 | 1 | 0.4% |
| -0.52625905 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.324599188 | 1 | |
| -1.322727362 | 1 | |
| -1.321729399 | 1 | |
| -1.319210464 | 1 | |
| -1.268864694 | 1 | |
| -1.251074708 | 1 | |
| -1.209565716 | 1 | |
| -1.196694778 | 1 | |
| -1.183563071 | 1 | |
| -1.167416389 | 1 |
| Value | Count | Frequency (%) |
| -1.82013977 | 1 | |
| -0.998804743 | 1 | |
| -0.994115592 | 1 | |
| -0.984912057 | 1 | |
| -0.939318043 | 1 | |
| -0.932293675 | 1 | |
| -0.84505869 | 1 | |
| -0.842189968 | 1 | |
| -0.833870239 | 1 | |
| -0.814416921 | 1 |
| Value | Count | Frequency (%) |
| -1.82013977 | 1 | |
| -0.998804743 | 1 | |
| -0.994115592 | 1 | |
| -0.984912057 | 1 | |
| -0.939318043 | 1 | |
| -0.932293675 | 1 | |
| -0.84505869 | 1 | |
| -0.842189968 | 1 | |
| -0.833870239 | 1 | |
| -0.814416921 | 1 |
| Value | Count | Frequency (%) |
| -1.324599188 | 1 | |
| -1.322727362 | 1 | |
| -1.321729399 | 1 | |
| -1.319210464 | 1 | |
| -1.268864694 | 1 | |
| -1.251074708 | 1 | |
| -1.209565716 | 1 | |
| -1.196694778 | 1 | |
| -1.183563071 | 1 | |
| -1.167416389 | 1 |
feature14
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.034155818 | 0.061397056 |
| Train | Val | |
|---|---|---|
| Minimum | -2.0131062 | -1.2051492 |
| Maximum | 5.6760554 | 7.1400033 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 171 | 181 |
| Negative (%) | 62.6% | 66.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.0131062 | -1.2051492 |
| 5-th percentile | -0.9776169 | -0.79868756 |
| Q1 | -0.51809947 | -0.44361008 |
| median | -0.17350558 | -0.19297453 |
| Q3 | 0.2089257 | 0.23972049 |
| 95-th percentile | 1.4093786 | 1.6254206 |
| Maximum | 5.6760554 | 7.1400033 |
| Range | 7.6891616 | 8.3451525 |
| Interquartile range (IQR) | 0.72702517 | 0.68333057 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.86832867 | 1.0705847 |
| Coefficient of variation (CV) | -25.42257 | 17.43707 |
| Kurtosis | 11.806523 | 18.850043 |
| Mean | -0.034155818 | 0.061397056 |
| Median Absolute Deviation (MAD) | 0.37853684 | 0.28290321 |
| Skewness | 2.6707397 | 3.8452734 |
| Sum | -9.3245383 | 16.761396 |
| Variance | 0.75399468 | 1.1461517 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.215693953 | 1 | 0.4% |
| -0.405002636 | 1 | 0.4% |
| -0.646052343 | 1 | 0.4% |
| 0.405421952 | 1 | 0.4% |
| -0.257516933 | 1 | 0.4% |
| 0.235409657 | 1 | 0.4% |
| 0.621049131 | 1 | 0.4% |
| -0.263299033 | 1 | 0.4% |
| -0.226755488 | 1 | 0.4% |
| 0.396803793 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.375427787 | 1 | 0.4% |
| 0.247554605 | 1 | 0.4% |
| -0.052522326 | 1 | 0.4% |
| 0.55883687 | 1 | 0.4% |
| -0.268307796 | 1 | 0.4% |
| 0.963783597 | 1 | 0.4% |
| 1.673204031 | 1 | 0.4% |
| 0.48533019 | 1 | 0.4% |
| 0.02219436 | 1 | 0.4% |
| -0.108279415 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.013106233 | 1 | |
| -1.459735395 | 1 | |
| -1.332813797 | 1 | |
| -1.213372668 | 1 | |
| -1.163855989 | 1 | |
| -1.064573123 | 1 | |
| -1.025531514 | 1 | |
| -1.005992728 | 1 | |
| -1.0006296 | 1 | |
| -0.995859931 | 1 |
| Value | Count | Frequency (%) |
| -1.205149206 | 1 | |
| -1.195817733 | 1 | |
| -1.119566867 | 1 | |
| -1.042312576 | 1 | |
| -0.945001121 | 1 | |
| -0.869931278 | 1 | |
| -0.861009036 | 1 | |
| -0.855169469 | 1 | |
| -0.850324511 | 1 | |
| -0.849713197 | 1 |
| Value | Count | Frequency (%) |
| -1.205149206 | 1 | |
| -1.195817733 | 1 | |
| -1.119566867 | 1 | |
| -1.042312576 | 1 | |
| -0.945001121 | 1 | |
| -0.869931278 | 1 | |
| -0.861009036 | 1 | |
| -0.855169469 | 1 | |
| -0.850324511 | 1 | |
| -0.849713197 | 1 |
| Value | Count | Frequency (%) |
| -2.013106233 | 1 | |
| -1.459735395 | 1 | |
| -1.332813797 | 1 | |
| -1.213372668 | 1 | |
| -1.163855989 | 1 | |
| -1.064573123 | 1 | |
| -1.025531514 | 1 | |
| -1.005992728 | 1 | |
| -1.0006296 | 1 | |
| -0.995859931 | 1 |
feature15
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 242 | 250 |
| Distinct (%) | 88.6% | 91.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.034224854 | 0.12329876 |
| Train | Val | |
|---|---|---|
| Minimum | -1.8768651 | -2.875225 |
| Maximum | 7.8688688 | 6.7119251 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 80 | 46 |
| Negative (%) | 29.3% | 16.8% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.8768651 | -2.875225 |
| 5-th percentile | -0.95111988 | -1.8048341 |
| Q1 | -0.52279451 | 0.36972278 |
| median | 0.20138118 | 0.38775012 |
| Q3 | 0.22560586 | 0.40030549 |
| 95-th percentile | 0.25506891 | 0.41609546 |
| Maximum | 7.8688688 | 6.7119251 |
| Range | 9.7457338 | 9.58715 |
| Interquartile range (IQR) | 0.74840037 | 0.030582707 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0541129 | 0.97926649 |
| Coefficient of variation (CV) | 30.799631 | 7.9422247 |
| Kurtosis | 31.246614 | 12.137014 |
| Mean | 0.034224854 | 0.12329876 |
| Median Absolute Deviation (MAD) | 0.040954487 | 0.013955127 |
| Skewness | 4.8008203 | 1.1554551 |
| Sum | 9.3433851 | 33.660563 |
| Variance | 1.1111539 | 0.95896286 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.201381182 | 32 | 11.7% |
| -0.89568996 | 1 | 0.4% |
| 0.230855381 | 1 | 0.4% |
| -0.17620751 | 1 | 0.4% |
| -0.933506476 | 1 | 0.4% |
| -0.868627417 | 1 | 0.4% |
| -0.952415033 | 1 | 0.4% |
| 0.205097664 | 1 | 0.4% |
| 0.235883299 | 1 | 0.4% |
| 0.264516615 | 1 | 0.4% |
| Other values (232) | 232 |
| Value | Count | Frequency (%) |
| 0.38775012 | 24 | 8.8% |
| 0.378805066 | 1 | 0.4% |
| 0.391109522 | 1 | 0.4% |
| -1.202253825 | 1 | 0.4% |
| 0.383674229 | 1 | 0.4% |
| 0.380949952 | 1 | 0.4% |
| 0.404263905 | 1 | 0.4% |
| 0.395606607 | 1 | 0.4% |
| -2.012638307 | 1 | 0.4% |
| -2.003706353 | 1 | 0.4% |
| Other values (240) | 240 |
| Value | Count | Frequency (%) |
| -1.876865065 | 1 | |
| -1.403868627 | 1 | |
| -0.973266571 | 1 | |
| -0.9674013 | 1 | |
| -0.965260167 | 1 | |
| -0.963107092 | 1 | |
| -0.961705555 | 1 | |
| -0.960604944 | 1 | |
| -0.954726072 | 1 | |
| -0.954344427 | 1 |
| Value | Count | Frequency (%) |
| -2.875224951 | 1 | |
| -2.092292065 | 1 | |
| -2.077956361 | 1 | |
| -2.075953107 | 1 | |
| -2.071020314 | 1 | |
| -2.046730023 | 1 | |
| -2.03545894 | 1 | |
| -2.02627772 | 1 | |
| -2.024384665 | 1 | |
| -2.014308968 | 1 |
| Value | Count | Frequency (%) |
| -2.875224951 | 1 | |
| -2.092292065 | 1 | |
| -2.077956361 | 1 | |
| -2.075953107 | 1 | |
| -2.071020314 | 1 | |
| -2.046730023 | 1 | |
| -2.03545894 | 1 | |
| -2.02627772 | 1 | |
| -2.024384665 | 1 | |
| -2.014308968 | 1 |
| Value | Count | Frequency (%) |
| -1.876865065 | 1 | |
| -1.403868627 | 1 | |
| -0.973266571 | 1 | |
| -0.9674013 | 1 | |
| -0.965260167 | 1 | |
| -0.963107092 | 1 | |
| -0.961705555 | 1 | |
| -0.960604944 | 1 | |
| -0.954726072 | 1 | |
| -0.954344427 | 1 |
feature16
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -7.6162352 × 10-5 | -0.058548649 |
| Train | Val | |
|---|---|---|
| Minimum | -2.6181425 | -2.2960082 |
| Maximum | 5.5067507 | 8.2398092 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 144 | 166 |
| Negative (%) | 52.7% | 60.8% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.6181425 | -2.2960082 |
| 5-th percentile | -1.1671893 | -1.0437705 |
| Q1 | -0.56395114 | -0.59561038 |
| median | -0.063375006 | -0.13699543 |
| Q3 | 0.36160644 | 0.3022804 |
| 95-th percentile | 1.1084151 | 0.89800678 |
| Maximum | 5.5067507 | 8.2398092 |
| Range | 8.1248932 | 10.535817 |
| Interquartile range (IQR) | 0.92555759 | 0.89789078 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.98235644 | 1.0530719 |
| Coefficient of variation (CV) | -12898.189 | -17.986271 |
| Kurtosis | 10.354775 | 32.20588 |
| Mean | -7.6162352 × 10-5 | -0.058548649 |
| Median Absolute Deviation (MAD) | 0.46954009 | 0.45667659 |
| Skewness | 2.3805414 | 4.5937146 |
| Sum | -0.020792322 | -15.983781 |
| Variance | 0.96502418 | 1.1089603 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.627916745 | 1 | 0.4% |
| -1.239986803 | 1 | 0.4% |
| -0.667693063 | 1 | 0.4% |
| 0.143206288 | 1 | 0.4% |
| -0.04494985 | 1 | 0.4% |
| -1.422893168 | 1 | 0.4% |
| -0.05786509 | 1 | 0.4% |
| 0.737881519 | 1 | 0.4% |
| 0.663817502 | 1 | 0.4% |
| 0.038446437 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.096643742 | 1 | 0.4% |
| 0.808878983 | 1 | 0.4% |
| -0.026237728 | 1 | 0.4% |
| -0.168159663 | 1 | 0.4% |
| 1.221655867 | 1 | 0.4% |
| 0.426833439 | 1 | 0.4% |
| -1.051562825 | 1 | 0.4% |
| -0.291100117 | 1 | 0.4% |
| -0.052920148 | 1 | 0.4% |
| -1.06815901 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.618142548 | 1 | |
| -1.937424307 | 1 | |
| -1.55887399 | 1 | |
| -1.550983426 | 1 | |
| -1.444157525 | 1 | |
| -1.428292826 | 1 | |
| -1.427591922 | 1 | |
| -1.422893168 | 1 | |
| -1.392751587 | 1 | |
| -1.301488458 | 1 |
| Value | Count | Frequency (%) |
| -2.296008233 | 1 | |
| -2.047030618 | 1 | |
| -1.549822109 | 1 | |
| -1.484203931 | 1 | |
| -1.412945263 | 1 | |
| -1.371011155 | 1 | |
| -1.254285231 | 1 | |
| -1.228558664 | 1 | |
| -1.215278521 | 1 | |
| -1.186200258 | 1 |
| Value | Count | Frequency (%) |
| -2.296008233 | 1 | |
| -2.047030618 | 1 | |
| -1.549822109 | 1 | |
| -1.484203931 | 1 | |
| -1.412945263 | 1 | |
| -1.371011155 | 1 | |
| -1.254285231 | 1 | |
| -1.228558664 | 1 | |
| -1.215278521 | 1 | |
| -1.186200258 | 1 |
| Value | Count | Frequency (%) |
| -2.618142548 | 1 | |
| -1.937424307 | 1 | |
| -1.55887399 | 1 | |
| -1.550983426 | 1 | |
| -1.444157525 | 1 | |
| -1.428292826 | 1 | |
| -1.427591922 | 1 | |
| -1.422893168 | 1 | |
| -1.392751587 | 1 | |
| -1.301488458 | 1 |
feature17
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 243 | 254 |
| Distinct (%) | 89.0% | 93.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.088857879 | -0.0084064641 |
| Train | Val | |
|---|---|---|
| Minimum | -2.3813203 | -1.985127 |
| Maximum | 8.9858512 | 10.064497 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 171 | 159 |
| Negative (%) | 62.6% | 58.2% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.3813203 | -1.985127 |
| 5-th percentile | -0.89079867 | -0.88233743 |
| Q1 | -0.5072596 | -0.39288373 |
| median | -0.087674507 | -0.084746795 |
| Q3 | 0.3078973 | 0.24497504 |
| 95-th percentile | 0.67949155 | 0.74648039 |
| Maximum | 8.9858512 | 10.064497 |
| Range | 11.367172 | 12.049624 |
| Interquartile range (IQR) | 0.8151569 | 0.63785877 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.75636166 | 1.0115092 |
| Coefficient of variation (CV) | -8.5120383 | -120.32517 |
| Kurtosis | 75.585483 | 58.881078 |
| Mean | -0.088857879 | -0.0084064641 |
| Median Absolute Deviation (MAD) | 0.41042672 | 0.32562932 |
| Skewness | 6.2448475 | 6.5763292 |
| Sum | -24.258201 | -2.2949647 |
| Variance | 0.57208297 | 1.0231508 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.087674507 | 31 | 11.4% |
| 0.349485654 | 1 | 0.4% |
| 0.713612093 | 1 | 0.4% |
| -0.680556595 | 1 | 0.4% |
| -0.915912449 | 1 | 0.4% |
| -0.762584527 | 1 | 0.4% |
| -0.092565094 | 1 | 0.4% |
| -0.005706694 | 1 | 0.4% |
| -0.683813545 | 1 | 0.4% |
| -0.131299898 | 1 | 0.4% |
| Other values (233) | 233 |
| Value | Count | Frequency (%) |
| -0.084746795 | 20 | 7.3% |
| 0.829365129 | 1 | 0.4% |
| -0.727350612 | 1 | 0.4% |
| -0.671746693 | 1 | 0.4% |
| -0.804266429 | 1 | 0.4% |
| -0.257986606 | 1 | 0.4% |
| 1.045028068 | 1 | 0.4% |
| -0.880778031 | 1 | 0.4% |
| 0.051643011 | 1 | 0.4% |
| 0.665600127 | 1 | 0.4% |
| Other values (244) | 244 |
| Value | Count | Frequency (%) |
| -2.381320306 | 1 | |
| -1.498970042 | 1 | |
| -0.974755719 | 1 | |
| -0.972190649 | 1 | |
| -0.965056452 | 1 | |
| -0.942478903 | 1 | |
| -0.937632609 | 1 | |
| -0.920170107 | 1 | |
| -0.917740551 | 1 | |
| -0.917264625 | 1 |
| Value | Count | Frequency (%) |
| -1.985127025 | 1 | |
| -1.623067319 | 1 | |
| -1.547079676 | 1 | |
| -1.34946264 | 1 | |
| -1.310008882 | 1 | |
| -1.225906969 | 1 | |
| -1.207920977 | 1 | |
| -1.180350232 | 1 | |
| -1.1583013 | 1 | |
| -1.021621627 | 1 |
| Value | Count | Frequency (%) |
| -1.985127025 | 1 | |
| -1.623067319 | 1 | |
| -1.547079676 | 1 | |
| -1.34946264 | 1 | |
| -1.310008882 | 1 | |
| -1.225906969 | 1 | |
| -1.207920977 | 1 | |
| -1.180350232 | 1 | |
| -1.1583013 | 1 | |
| -1.021621627 | 1 |
| Value | Count | Frequency (%) |
| -2.381320306 | 1 | |
| -1.498970042 | 1 | |
| -0.974755719 | 1 | |
| -0.972190649 | 1 | |
| -0.965056452 | 1 | |
| -0.942478903 | 1 | |
| -0.937632609 | 1 | |
| -0.920170107 | 1 | |
| -0.917740551 | 1 | |
| -0.917264625 | 1 |
feature18
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 239 | 255 |
| Distinct (%) | 87.5% | 93.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.031530651 | 0.086395868 |
| Train | Val | |
|---|---|---|
| Minimum | -0.86619669 | -2.2038199 |
| Maximum | 9.0988784 | 10.139888 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 173 | 152 |
| Negative (%) | 63.4% | 55.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.86619669 | -2.2038199 |
| 5-th percentile | -0.77698983 | -0.87319253 |
| Q1 | -0.44477152 | -0.41170154 |
| median | -0.096394745 | -0.068200583 |
| Q3 | 0.16723879 | 0.30755672 |
| 95-th percentile | 0.55126257 | 0.94397224 |
| Maximum | 9.0988784 | 10.139888 |
| Range | 9.965075 | 12.343708 |
| Interquartile range (IQR) | 0.61201031 | 0.71925826 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.95083834 | 1.1610467 |
| Coefficient of variation (CV) | -30.156001 | 13.438684 |
| Kurtosis | 57.646102 | 40.444199 |
| Mean | -0.031530651 | 0.086395868 |
| Median Absolute Deviation (MAD) | 0.33197755 | 0.34901061 |
| Skewness | 6.8585927 | 5.4579963 |
| Sum | -8.6078678 | 23.586072 |
| Variance | 0.90409356 | 1.3480295 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.096394745 | 35 | 12.8% |
| -0.710492708 | 1 | 0.4% |
| 0.590235636 | 1 | 0.4% |
| -0.516762143 | 1 | 0.4% |
| -0.397461043 | 1 | 0.4% |
| -0.479153088 | 1 | 0.4% |
| -0.272399778 | 1 | 0.4% |
| -0.037164929 | 1 | 0.4% |
| 0.219504141 | 1 | 0.4% |
| 0.575467593 | 1 | 0.4% |
| Other values (229) | 229 |
| Value | Count | Frequency (%) |
| -0.068200583 | 19 | 7.0% |
| 0.556751691 | 1 | 0.4% |
| -0.421299914 | 1 | 0.4% |
| 0.271717448 | 1 | 0.4% |
| -0.014375128 | 1 | 0.4% |
| 0.117512864 | 1 | 0.4% |
| -0.19284492 | 1 | 0.4% |
| -0.002616742 | 1 | 0.4% |
| 0.279946571 | 1 | 0.4% |
| 0.231984606 | 1 | 0.4% |
| Other values (245) | 245 |
| Value | Count | Frequency (%) |
| -0.866196692 | 1 | |
| -0.846982048 | 1 | |
| -0.82274464 | 1 | |
| -0.81829217 | 1 | |
| -0.811326151 | 1 | |
| -0.801669341 | 1 | |
| -0.800201005 | 1 | |
| -0.791253507 | 1 | |
| -0.790898353 | 1 | |
| -0.789594966 | 1 |
| Value | Count | Frequency (%) |
| -2.203819897 | 1 | |
| -2.007659549 | 1 | |
| -1.718466249 | 1 | |
| -1.435808317 | 1 | |
| -1.389135473 | 1 | |
| -1.263274967 | 1 | |
| -1.156604284 | 1 | |
| -1.146797464 | 1 | |
| -1.14567552 | 1 | |
| -1.028869441 | 1 |
| Value | Count | Frequency (%) |
| -2.203819897 | 1 | |
| -2.007659549 | 1 | |
| -1.718466249 | 1 | |
| -1.435808317 | 1 | |
| -1.389135473 | 1 | |
| -1.263274967 | 1 | |
| -1.156604284 | 1 | |
| -1.146797464 | 1 | |
| -1.14567552 | 1 | |
| -1.028869441 | 1 |
| Value | Count | Frequency (%) |
| -0.866196692 | 1 | |
| -0.846982048 | 1 | |
| -0.82274464 | 1 | |
| -0.81829217 | 1 | |
| -0.811326151 | 1 | |
| -0.801669341 | 1 | |
| -0.800201005 | 1 | |
| -0.791253507 | 1 | |
| -0.790898353 | 1 | |
| -0.789594966 | 1 |
feature19
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.047498185 | 0.0027489633 |
| Train | Val | |
|---|---|---|
| Minimum | -1.607989 | -1.385608 |
| Maximum | 8.37997 | 6.5205337 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 158 | 190 |
| Negative (%) | 57.9% | 69.6% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.607989 | -1.385608 |
| 5-th percentile | -1.111591 | -1.0917428 |
| Q1 | -0.49880133 | -0.58922666 |
| median | -0.1217132 | -0.32378814 |
| Q3 | 0.27854976 | 0.21889903 |
| 95-th percentile | 0.89298237 | 1.6399006 |
| Maximum | 8.37997 | 6.5205337 |
| Range | 9.987959 | 7.9061417 |
| Interquartile range (IQR) | 0.77735109 | 0.8081257 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.97482912 | 1.089205 |
| Coefficient of variation (CV) | -20.523503 | 396.22392 |
| Kurtosis | 36.755102 | 10.128107 |
| Mean | -0.047498185 | 0.0027489633 |
| Median Absolute Deviation (MAD) | 0.39488669 | 0.34631895 |
| Skewness | 4.8846558 | 2.6264875 |
| Sum | -12.967004 | 0.75046699 |
| Variance | 0.95029181 | 1.1863676 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.053479597 | 1 | 0.4% |
| -0.564422194 | 1 | 0.4% |
| 0.502825076 | 1 | 0.4% |
| 0.362713684 | 1 | 0.4% |
| -0.773590556 | 1 | 0.4% |
| -0.054458778 | 1 | 0.4% |
| -0.595702678 | 1 | 0.4% |
| 0.278549761 | 1 | 0.4% |
| 0.094631187 | 1 | 0.4% |
| 0.865250996 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.163842785 | 1 | 0.4% |
| -0.937615426 | 1 | 0.4% |
| -0.578163995 | 1 | 0.4% |
| -0.959555227 | 1 | 0.4% |
| 0.171743492 | 1 | 0.4% |
| -1.111182108 | 1 | 0.4% |
| 0.101244831 | 1 | 0.4% |
| -0.741347244 | 1 | 0.4% |
| -0.558575417 | 1 | 0.4% |
| 0.193877918 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.607988998 | 1 | |
| -1.577839973 | 1 | |
| -1.448198189 | 1 | |
| -1.442580632 | 1 | |
| -1.433727674 | 1 | |
| -1.331529347 | 1 | |
| -1.313072525 | 1 | |
| -1.303636932 | 1 | |
| -1.28520238 | 1 | |
| -1.219268376 | 1 |
| Value | Count | Frequency (%) |
| -1.385607995 | 1 | |
| -1.298977806 | 1 | |
| -1.288165201 | 1 | |
| -1.281394636 | 1 | |
| -1.219744818 | 1 | |
| -1.21408438 | 1 | |
| -1.210552351 | 1 | |
| -1.189787203 | 1 | |
| -1.16591184 | 1 | |
| -1.163842785 | 1 |
| Value | Count | Frequency (%) |
| -1.385607995 | 1 | |
| -1.298977806 | 1 | |
| -1.288165201 | 1 | |
| -1.281394636 | 1 | |
| -1.219744818 | 1 | |
| -1.21408438 | 1 | |
| -1.210552351 | 1 | |
| -1.189787203 | 1 | |
| -1.16591184 | 1 | |
| -1.163842785 | 1 |
| Value | Count | Frequency (%) |
| -1.607988998 | 1 | |
| -1.577839973 | 1 | |
| -1.448198189 | 1 | |
| -1.442580632 | 1 | |
| -1.433727674 | 1 | |
| -1.331529347 | 1 | |
| -1.313072525 | 1 | |
| -1.303636932 | 1 | |
| -1.28520238 | 1 | |
| -1.219268376 | 1 |
feature20
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 8 | 8 |
| Distinct (%) | 2.9% | 2.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.10277533 | 0.0011120149 |
| Train | Val | |
|---|---|---|
| Minimum | -9.3285573 | -12.447414 |
| Maximum | 6.6026309 | 3.9362882 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 1 | 3 |
| Negative (%) | 0.4% | 1.1% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -9.3285573 | -12.447414 |
| 5-th percentile | 0.044990604 | 0.05847779 |
| Q1 | 0.044990604 | 0.05847779 |
| median | 0.044990604 | 0.05847779 |
| Q3 | 0.044990604 | 0.05847779 |
| 95-th percentile | 0.044990604 | 0.05847779 |
| Maximum | 6.6026309 | 3.9362882 |
| Range | 15.931188 | 16.383702 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.8827627 | 1.0458803 |
| Coefficient of variation (CV) | 8.5892471 | 940.52722 |
| Kurtosis | 68.359073 | 105.649 |
| Mean | 0.10277533 | 0.0011120149 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | -1.0133582 | -9.3265613 |
| Sum | 28.057665 | 0.30358006 |
| Variance | 0.77926998 | 1.0938655 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0.044990604 | 266 | |
| 1.176673479 | 1 | 0.4% |
| 4.420675451 | 1 | 0.4% |
| -9.32855726 | 1 | 0.4% |
| 2.716083976 | 1 | 0.4% |
| 5.592634268 | 1 | 0.4% |
| 4.910023302 | 1 | 0.4% |
| 6.60263088 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.05847779 | 266 | |
| 1.961177343 | 1 | 0.4% |
| 1.9602695 | 1 | 0.4% |
| -3.276859652 | 1 | 0.4% |
| 2.651567938 | 1 | 0.4% |
| -12.44741416 | 1 | 0.4% |
| -10.03654126 | 1 | 0.4% |
| 3.936288215 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -9.32855726 | 1 | 0.4% |
| 0.044990604 | 266 | |
| 1.176673479 | 1 | 0.4% |
| 2.716083976 | 1 | 0.4% |
| 4.420675451 | 1 | 0.4% |
| 4.910023302 | 1 | 0.4% |
| 5.592634268 | 1 | 0.4% |
| 6.60263088 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -12.44741416 | 1 | 0.4% |
| -10.03654126 | 1 | 0.4% |
| -3.276859652 | 1 | 0.4% |
| 0.05847779 | 266 | |
| 1.9602695 | 1 | 0.4% |
| 1.961177343 | 1 | 0.4% |
| 2.651567938 | 1 | 0.4% |
| 3.936288215 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -12.44741416 | 1 | 0.4% |
| -10.03654126 | 1 | 0.4% |
| -3.276859652 | 1 | 0.4% |
| 0.05847779 | 266 | |
| 1.9602695 | 1 | 0.4% |
| 1.961177343 | 1 | 0.4% |
| 2.651567938 | 1 | 0.4% |
| 3.936288215 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -9.32855726 | 1 | 0.4% |
| 0.044990604 | 266 | |
| 1.176673479 | 1 | 0.4% |
| 2.716083976 | 1 | 0.4% |
| 4.420675451 | 1 | 0.4% |
| 4.910023302 | 1 | 0.4% |
| 5.592634268 | 1 | 0.4% |
| 6.60263088 | 1 | 0.4% |
feature21
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 235 | 254 |
| Distinct (%) | 86.1% | 93.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.11359593 | 0.036929614 |
| Train | Val | |
|---|---|---|
| Minimum | -2.5895358 | -1.0680399 |
| Maximum | 4.3752424 | 10.777012 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 178 | 157 |
| Negative (%) | 65.2% | 57.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.5895358 | -1.0680399 |
| 5-th percentile | -0.85475336 | -1.0061054 |
| Q1 | -0.46717155 | -0.52525668 |
| median | -0.094870724 | -0.057069362 |
| Q3 | 0.15321746 | 0.30709403 |
| 95-th percentile | 0.65307031 | 0.78778866 |
| Maximum | 4.3752424 | 10.777012 |
| Range | 6.9647783 | 11.845052 |
| Interquartile range (IQR) | 0.62038901 | 0.83235071 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.60837465 | 1.2356595 |
| Coefficient of variation (CV) | -5.3556024 | 33.459853 |
| Kurtosis | 17.676478 | 47.518186 |
| Mean | -0.11359593 | 0.036929614 |
| Median Absolute Deviation (MAD) | 0.32132634 | 0.42016999 |
| Skewness | 2.4641221 | 6.1256182 |
| Sum | -31.01169 | 10.081785 |
| Variance | 0.37011972 | 1.5268543 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.094870724 | 39 | 14.3% |
| 0.173593694 | 1 | 0.4% |
| -0.62329728 | 1 | 0.4% |
| 0.196120416 | 1 | 0.4% |
| -0.332599889 | 1 | 0.4% |
| 0.583431605 | 1 | 0.4% |
| -0.220555732 | 1 | 0.4% |
| -0.271384357 | 1 | 0.4% |
| 0.571469761 | 1 | 0.4% |
| 0.147563682 | 1 | 0.4% |
| Other values (225) | 225 |
| Value | Count | Frequency (%) |
| -0.057069362 | 20 | 7.3% |
| 0.521781936 | 1 | 0.4% |
| -0.439389779 | 1 | 0.4% |
| -0.004176678 | 1 | 0.4% |
| -0.555458459 | 1 | 0.4% |
| 0.043500156 | 1 | 0.4% |
| 0.771719521 | 1 | 0.4% |
| -0.846174291 | 1 | 0.4% |
| -0.685447074 | 1 | 0.4% |
| 0.52729676 | 1 | 0.4% |
| Other values (244) | 244 |
| Value | Count | Frequency (%) |
| -2.589535819 | 1 | |
| -1.02719632 | 1 | |
| -0.923149549 | 1 | |
| -0.919899499 | 1 | |
| -0.911623659 | 1 | |
| -0.906134453 | 1 | |
| -0.887913548 | 1 | |
| -0.878357062 | 1 | |
| -0.870808293 | 1 | |
| -0.86906804 | 1 |
| Value | Count | Frequency (%) |
| -1.06803995 | 1 | |
| -1.06304086 | 1 | |
| -1.060929722 | 1 | |
| -1.057193901 | 1 | |
| -1.056629978 | 1 | |
| -1.055707604 | 1 | |
| -1.042475203 | 1 | |
| -1.037918617 | 1 | |
| -1.028252696 | 1 | |
| -1.022923836 | 1 |
| Value | Count | Frequency (%) |
| -1.06803995 | 1 | |
| -1.06304086 | 1 | |
| -1.060929722 | 1 | |
| -1.057193901 | 1 | |
| -1.056629978 | 1 | |
| -1.055707604 | 1 | |
| -1.042475203 | 1 | |
| -1.037918617 | 1 | |
| -1.028252696 | 1 | |
| -1.022923836 | 1 |
| Value | Count | Frequency (%) |
| -2.589535819 | 1 | |
| -1.02719632 | 1 | |
| -0.923149549 | 1 | |
| -0.919899499 | 1 | |
| -0.911623659 | 1 | |
| -0.906134453 | 1 | |
| -0.887913548 | 1 | |
| -0.878357062 | 1 | |
| -0.870808293 | 1 | |
| -0.86906804 | 1 |
feature22
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 245 | 259 |
| Distinct (%) | 89.7% | 94.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.059089047 | -0.054625772 |
| Train | Val | |
|---|---|---|
| Minimum | -0.52375807 | -0.61606801 |
| Maximum | 8.9169008 | 5.2998628 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 258 | 232 |
| Negative (%) | 94.5% | 85.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.52375807 | -0.61606801 |
| 5-th percentile | -0.33726951 | -0.43685434 |
| Q1 | -0.2814836 | -0.37981985 |
| median | -0.23129754 | -0.34394644 |
| Q3 | -0.19052985 | -0.29662437 |
| 95-th percentile | 0.5545404 | 1.5574623 |
| Maximum | 8.9169008 | 5.2998628 |
| Range | 9.4406588 | 5.9159308 |
| Interquartile range (IQR) | 0.090953751 | 0.083195481 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.94118841 | 0.88977927 |
| Coefficient of variation (CV) | -15.928306 | -16.288635 |
| Kurtosis | 49.65423 | 14.222492 |
| Mean | -0.059089047 | -0.054625772 |
| Median Absolute Deviation (MAD) | 0.044585194 | 0.039094309 |
| Skewness | 6.6065679 | 3.6046005 |
| Sum | -16.13131 | -14.912836 |
| Variance | 0.88583563 | 0.79170715 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.231297544 | 29 | 10.6% |
| -0.283198774 | 1 | 0.4% |
| -0.286587795 | 1 | 0.4% |
| -0.309210097 | 1 | 0.4% |
| -0.360298704 | 1 | 0.4% |
| -0.209178538 | 1 | 0.4% |
| -0.310549351 | 1 | 0.4% |
| -0.210006225 | 1 | 0.4% |
| -0.160580489 | 1 | 0.4% |
| -0.221474134 | 1 | 0.4% |
| Other values (235) | 235 |
| Value | Count | Frequency (%) |
| -0.343946441 | 15 | 5.5% |
| -0.331516609 | 1 | 0.4% |
| -0.378363879 | 1 | 0.4% |
| -0.355094325 | 1 | 0.4% |
| -0.387930097 | 1 | 0.4% |
| -0.288703542 | 1 | 0.4% |
| -0.437233884 | 1 | 0.4% |
| -0.312843771 | 1 | 0.4% |
| -0.3050029 | 1 | 0.4% |
| -0.297289827 | 1 | 0.4% |
| Other values (249) | 249 |
| Value | Count | Frequency (%) |
| -0.523758074 | 1 | |
| -0.457648817 | 1 | |
| -0.402945774 | 1 | |
| -0.385709172 | 1 | |
| -0.375494095 | 1 | |
| -0.364229782 | 1 | |
| -0.36272442 | 1 | |
| -0.361816982 | 1 | |
| -0.360298704 | 1 | |
| -0.359290885 | 1 |
| Value | Count | Frequency (%) |
| -0.616068008 | 1 | |
| -0.509102621 | 1 | |
| -0.487960109 | 1 | |
| -0.48147972 | 1 | |
| -0.471827358 | 1 | |
| -0.469859421 | 1 | |
| -0.458875761 | 1 | |
| -0.457085442 | 1 | |
| -0.454593844 | 1 | |
| -0.451600083 | 1 |
| Value | Count | Frequency (%) |
| -0.616068008 | 1 | |
| -0.509102621 | 1 | |
| -0.487960109 | 1 | |
| -0.48147972 | 1 | |
| -0.471827358 | 1 | |
| -0.469859421 | 1 | |
| -0.458875761 | 1 | |
| -0.457085442 | 1 | |
| -0.454593844 | 1 | |
| -0.451600083 | 1 |
| Value | Count | Frequency (%) |
| -0.523758074 | 1 | |
| -0.457648817 | 1 | |
| -0.402945774 | 1 | |
| -0.385709172 | 1 | |
| -0.375494095 | 1 | |
| -0.364229782 | 1 | |
| -0.36272442 | 1 | |
| -0.361816982 | 1 | |
| -0.360298704 | 1 | |
| -0.359290885 | 1 |
feature23
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 247 | 260 |
| Distinct (%) | 90.5% | 95.2% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.0066714183 | 0.064486602 |
| Train | Val | |
|---|---|---|
| Minimum | -1.9098998 | -1.9610991 |
| Maximum | 9.0210944 | 9.1993616 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 162 | 153 |
| Negative (%) | 59.3% | 56.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.9098998 | -1.9610991 |
| 5-th percentile | -0.9080572 | -0.91782846 |
| Q1 | -0.4384216 | -0.43801804 |
| median | -0.082057331 | -0.064112667 |
| Q3 | 0.25881716 | 0.35399874 |
| 95-th percentile | 0.84806851 | 1.1913377 |
| Maximum | 9.0210944 | 9.1993616 |
| Range | 10.930994 | 11.160461 |
| Interquartile range (IQR) | 0.69723876 | 0.79201678 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0095241 | 1.0476361 |
| Coefficient of variation (CV) | 151.32077 | 16.245795 |
| Kurtosis | 39.65306 | 40.067323 |
| Mean | 0.0066714183 | 0.064486602 |
| Median Absolute Deviation (MAD) | 0.35127976 | 0.38693309 |
| Skewness | 5.2884755 | 5.0653003 |
| Sum | 1.8212972 | 17.604842 |
| Variance | 1.019139 | 1.0975414 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.082057331 | 27 | 9.9% |
| 0.104824171 | 1 | 0.4% |
| -0.698042652 | 1 | 0.4% |
| -0.538791367 | 1 | 0.4% |
| -0.157410206 | 1 | 0.4% |
| 0.06680199 | 1 | 0.4% |
| -0.648581892 | 1 | 0.4% |
| 0.269222432 | 1 | 0.4% |
| -0.053266144 | 1 | 0.4% |
| 0.283963164 | 1 | 0.4% |
| Other values (237) | 237 |
| Value | Count | Frequency (%) |
| -0.064112667 | 14 | 5.1% |
| -0.811397646 | 1 | 0.4% |
| -0.438603254 | 1 | 0.4% |
| -0.609323171 | 1 | 0.4% |
| -0.076145475 | 1 | 0.4% |
| 0.04051639 | 1 | 0.4% |
| 0.060762014 | 1 | 0.4% |
| -0.561570284 | 1 | 0.4% |
| -0.857824558 | 1 | 0.4% |
| -1.13875628 | 1 | 0.4% |
| Other values (250) | 250 |
| Value | Count | Frequency (%) |
| -1.909899797 | 1 | |
| -1.598796581 | 1 | |
| -1.538298827 | 1 | |
| -1.534707406 | 1 | |
| -1.40711018 | 1 | |
| -1.369292188 | 1 | |
| -1.212510144 | 1 | |
| -1.206670727 | 1 | |
| -1.079680168 | 1 | |
| -1.022259236 | 1 |
| Value | Count | Frequency (%) |
| -1.961099146 | 1 | |
| -1.802487556 | 1 | |
| -1.634036836 | 1 | |
| -1.452777583 | 1 | |
| -1.251932706 | 1 | |
| -1.189303215 | 1 | |
| -1.13875628 | 1 | |
| -1.115800387 | 1 | |
| -1.061998464 | 1 | |
| -1.025275813 | 1 |
| Value | Count | Frequency (%) |
| -1.961099146 | 1 | |
| -1.802487556 | 1 | |
| -1.634036836 | 1 | |
| -1.452777583 | 1 | |
| -1.251932706 | 1 | |
| -1.189303215 | 1 | |
| -1.13875628 | 1 | |
| -1.115800387 | 1 | |
| -1.061998464 | 1 | |
| -1.025275813 | 1 |
| Value | Count | Frequency (%) |
| -1.909899797 | 1 | |
| -1.598796581 | 1 | |
| -1.538298827 | 1 | |
| -1.534707406 | 1 | |
| -1.40711018 | 1 | |
| -1.369292188 | 1 | |
| -1.212510144 | 1 | |
| -1.206670727 | 1 | |
| -1.079680168 | 1 | |
| -1.022259236 | 1 |
feature24
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 245 | 252 |
| Distinct (%) | 89.7% | 92.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.046106064 | -0.0045889463 |
| Train | Val | |
|---|---|---|
| Minimum | -0.74116355 | -3.3851941 |
| Maximum | 6.6030923 | 7.5791162 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 196 | 152 |
| Negative (%) | 71.8% | 55.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.74116355 | -3.3851941 |
| 5-th percentile | -0.70028296 | -1.0176126 |
| Q1 | -0.54483609 | -0.56409082 |
| median | -0.27864169 | -0.068132358 |
| Q3 | 0.057310262 | 0.44507541 |
| 95-th percentile | 1.4331863 | 0.93360257 |
| Maximum | 6.6030923 | 7.5791162 |
| Range | 7.3442559 | 10.96431 |
| Interquartile range (IQR) | 0.60214635 | 1.0091662 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.91359062 | 0.92388656 |
| Coefficient of variation (CV) | -19.814978 | -201.32869 |
| Kurtosis | 21.640837 | 26.330335 |
| Mean | -0.046106064 | -0.0045889463 |
| Median Absolute Deviation (MAD) | 0.28321427 | 0.50548581 |
| Skewness | 4.0190259 | 3.4872496 |
| Sum | -12.586955 | -1.2527823 |
| Variance | 0.83464782 | 0.85356638 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.278641692 | 29 | 10.6% |
| -0.109887829 | 1 | 0.4% |
| -0.412200062 | 1 | 0.4% |
| -0.740710847 | 1 | 0.4% |
| 3.493996364 | 1 | 0.4% |
| -0.649833397 | 1 | 0.4% |
| 0.216727396 | 1 | 0.4% |
| 0.133362378 | 1 | 0.4% |
| 0.009163684 | 1 | 0.4% |
| 0.566079739 | 1 | 0.4% |
| Other values (235) | 235 |
| Value | Count | Frequency (%) |
| -0.068132358 | 22 | 8.1% |
| -0.060533945 | 1 | 0.4% |
| -0.939823881 | 1 | 0.4% |
| 0.777126065 | 1 | 0.4% |
| 0.932757418 | 1 | 0.4% |
| -0.781658473 | 1 | 0.4% |
| -0.778556071 | 1 | 0.4% |
| 0.934870305 | 1 | 0.4% |
| 0.445075415 | 1 | 0.4% |
| -0.682867747 | 1 | 0.4% |
| Other values (242) | 242 |
| Value | Count | Frequency (%) |
| -0.741163548 | 1 | |
| -0.740777879 | 1 | |
| -0.740710847 | 1 | |
| -0.73520731 | 1 | |
| -0.734364685 | 1 | |
| -0.733037123 | 1 | |
| -0.725188125 | 1 | |
| -0.722505061 | 1 | |
| -0.720290224 | 1 | |
| -0.719119136 | 1 |
| Value | Count | Frequency (%) |
| -3.385194096 | 1 | |
| -2.001154148 | 1 | |
| -1.216553328 | 1 | |
| -1.120349308 | 1 | |
| -1.112587433 | 1 | |
| -1.111174933 | 1 | |
| -1.090541832 | 1 | |
| -1.07740055 | 1 | |
| -1.073543596 | 1 | |
| -1.06980678 | 1 |
| Value | Count | Frequency (%) |
| -3.385194096 | 1 | |
| -2.001154148 | 1 | |
| -1.216553328 | 1 | |
| -1.120349308 | 1 | |
| -1.112587433 | 1 | |
| -1.111174933 | 1 | |
| -1.090541832 | 1 | |
| -1.07740055 | 1 | |
| -1.073543596 | 1 | |
| -1.06980678 | 1 |
| Value | Count | Frequency (%) |
| -0.741163548 | 1 | |
| -0.740777879 | 1 | |
| -0.740710847 | 1 | |
| -0.73520731 | 1 | |
| -0.734364685 | 1 | |
| -0.733037123 | 1 | |
| -0.725188125 | 1 | |
| -0.722505061 | 1 | |
| -0.720290224 | 1 | |
| -0.719119136 | 1 |
feature25
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 243 | 252 |
| Distinct (%) | 89.0% | 92.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.077952244 | -0.054557619 |
| Train | Val | |
|---|---|---|
| Minimum | -0.95735678 | -2.5426167 |
| Maximum | 5.5317325 | 8.0086102 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 165 | 163 |
| Negative (%) | 60.4% | 59.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.95735678 | -2.5426167 |
| 5-th percentile | -0.82833014 | -1.0859005 |
| Q1 | -0.46526001 | -0.59068309 |
| median | -0.089476001 | -0.064339231 |
| Q3 | 0.22133813 | 0.3767997 |
| 95-th percentile | 0.64493714 | 0.90706135 |
| Maximum | 5.5317325 | 8.0086102 |
| Range | 6.4890892 | 10.551227 |
| Interquartile range (IQR) | 0.68659814 | 0.96748279 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.58486537 | 0.95510179 |
| Coefficient of variation (CV) | -7.5028676 | -17.506295 |
| Kurtosis | 30.647623 | 33.114002 |
| Mean | -0.077952244 | -0.054557619 |
| Median Absolute Deviation (MAD) | 0.35646619 | 0.4842729 |
| Skewness | 3.4541005 | 4.1052485 |
| Sum | -21.280963 | -14.89423 |
| Variance | 0.3420675 | 0.91221942 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.089476001 | 31 | 11.4% |
| 0.014034744 | 1 | 0.4% |
| -0.716269344 | 1 | 0.4% |
| 0.155084967 | 1 | 0.4% |
| 0.018510947 | 1 | 0.4% |
| -0.59825963 | 1 | 0.4% |
| 0.323107584 | 1 | 0.4% |
| 0.446528359 | 1 | 0.4% |
| -0.112900877 | 1 | 0.4% |
| 0.057059398 | 1 | 0.4% |
| Other values (233) | 233 |
| Value | Count | Frequency (%) |
| -0.064339231 | 22 | 8.1% |
| -0.484798924 | 1 | 0.4% |
| -0.981844271 | 1 | 0.4% |
| -0.112972244 | 1 | 0.4% |
| -0.999672333 | 1 | 0.4% |
| 0.7001803 | 1 | 0.4% |
| 0.581902882 | 1 | 0.4% |
| -0.950322471 | 1 | 0.4% |
| -0.232632942 | 1 | 0.4% |
| 0.144904951 | 1 | 0.4% |
| Other values (242) | 242 |
| Value | Count | Frequency (%) |
| -0.957356781 | 1 | |
| -0.918125359 | 1 | |
| -0.908749508 | 1 | |
| -0.899519456 | 1 | |
| -0.887973522 | 1 | |
| -0.867982328 | 1 | |
| -0.863127483 | 1 | |
| -0.852628493 | 1 | |
| -0.848630206 | 1 | |
| -0.845209616 | 1 |
| Value | Count | Frequency (%) |
| -2.54261674 | 1 | |
| -2.173087578 | 1 | |
| -2.129867877 | 1 | |
| -1.125250896 | 1 | |
| -1.123962404 | 1 | |
| -1.123217083 | 1 | |
| -1.116825313 | 1 | |
| -1.112538614 | 1 | |
| -1.108312237 | 1 | |
| -1.105143485 | 1 |
| Value | Count | Frequency (%) |
| -2.54261674 | 1 | |
| -2.173087578 | 1 | |
| -2.129867877 | 1 | |
| -1.125250896 | 1 | |
| -1.123962404 | 1 | |
| -1.123217083 | 1 | |
| -1.116825313 | 1 | |
| -1.112538614 | 1 | |
| -1.108312237 | 1 | |
| -1.105143485 | 1 |
| Value | Count | Frequency (%) |
| -0.957356781 | 1 | |
| -0.918125359 | 1 | |
| -0.908749508 | 1 | |
| -0.899519456 | 1 | |
| -0.887973522 | 1 | |
| -0.867982328 | 1 | |
| -0.863127483 | 1 | |
| -0.852628493 | 1 | |
| -0.848630206 | 1 | |
| -0.845209616 | 1 |
feature26
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 244 | 256 |
| Distinct (%) | 89.4% | 93.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.042240264 | 0.013899924 |
| Train | Val | |
|---|---|---|
| Minimum | -0.90748024 | -1.8362616 |
| Maximum | 9.4367769 | 10.155034 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 155 | 154 |
| Negative (%) | 56.8% | 56.4% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.90748024 | -1.8362616 |
| 5-th percentile | -0.86316214 | -1.1190132 |
| Q1 | -0.37750687 | -0.45295431 |
| median | -0.084174759 | -0.088448486 |
| Q3 | 0.29986609 | 0.31979352 |
| 95-th percentile | 0.67901826 | 0.9019642 |
| Maximum | 9.4367769 | 10.155034 |
| Range | 10.344257 | 11.991295 |
| Interquartile range (IQR) | 0.67737296 | 0.77274783 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.92265473 | 1.1453316 |
| Coefficient of variation (CV) | 21.843015 | 82.398406 |
| Kurtosis | 49.858884 | 47.633995 |
| Mean | 0.042240264 | 0.013899924 |
| Median Absolute Deviation (MAD) | 0.36479455 | 0.38449569 |
| Skewness | 5.8308244 | 5.8914965 |
| Sum | 11.531592 | 3.7946794 |
| Variance | 0.85129174 | 1.3117845 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.084174759 | 30 | 11.0% |
| -0.221074103 | 1 | 0.4% |
| 0.151351884 | 1 | 0.4% |
| 0.661878775 | 1 | 0.4% |
| 0.299866095 | 1 | 0.4% |
| 0.34527345 | 1 | 0.4% |
| -0.103901796 | 1 | 0.4% |
| -0.3635836 | 1 | 0.4% |
| -0.073062302 | 1 | 0.4% |
| -0.07571522 | 1 | 0.4% |
| Other values (234) | 234 |
| Value | Count | Frequency (%) |
| -0.088448486 | 18 | 6.6% |
| 0.071338066 | 1 | 0.4% |
| 0.076314027 | 1 | 0.4% |
| -0.93543694 | 1 | 0.4% |
| 0.275744813 | 1 | 0.4% |
| -0.453856898 | 1 | 0.4% |
| 0.547144747 | 1 | 0.4% |
| -0.366302717 | 1 | 0.4% |
| 0.276348333 | 1 | 0.4% |
| 0.405657751 | 1 | 0.4% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| -0.90748024 | 1 | |
| -0.894500251 | 1 | |
| -0.891259093 | 1 | |
| -0.889294707 | 1 | |
| -0.887974794 | 1 | |
| -0.887029225 | 1 | |
| -0.884875027 | 1 | |
| -0.880608288 | 1 | |
| -0.879129158 | 1 | |
| -0.876784286 | 1 |
| Value | Count | Frequency (%) |
| -1.836261605 | 1 | |
| -1.788433591 | 1 | |
| -1.534671493 | 1 | |
| -1.525433669 | 1 | |
| -1.471403381 | 1 | |
| -1.449308688 | 1 | |
| -1.370538814 | 1 | |
| -1.357651788 | 1 | |
| -1.31101695 | 1 | |
| -1.297588883 | 1 |
| Value | Count | Frequency (%) |
| -1.836261605 | 1 | |
| -1.788433591 | 1 | |
| -1.534671493 | 1 | |
| -1.525433669 | 1 | |
| -1.471403381 | 1 | |
| -1.449308688 | 1 | |
| -1.370538814 | 1 | |
| -1.357651788 | 1 | |
| -1.31101695 | 1 | |
| -1.297588883 | 1 |
| Value | Count | Frequency (%) |
| -0.90748024 | 1 | |
| -0.894500251 | 1 | |
| -0.891259093 | 1 | |
| -0.889294707 | 1 | |
| -0.887974794 | 1 | |
| -0.887029225 | 1 | |
| -0.884875027 | 1 | |
| -0.880608288 | 1 | |
| -0.879129158 | 1 | |
| -0.876784286 | 1 |
feature27
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 255 | 255 |
| Distinct (%) | 93.4% | 93.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.047682494 | 0.0057768314 |
| Train | Val | |
|---|---|---|
| Minimum | -2.4744692 | -1.1092023 |
| Maximum | 5.6259791 | 8.1279207 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 184 | 199 |
| Negative (%) | 67.4% | 72.9% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.4744692 | -1.1092023 |
| 5-th percentile | -1.0692003 | -0.7025792 |
| Q1 | -0.46767442 | -0.40319551 |
| median | -0.1538956 | -0.21788527 |
| Q3 | 0.20186338 | 0.039621545 |
| 95-th percentile | 1.3212726 | 1.4556097 |
| Maximum | 5.6259791 | 8.1279207 |
| Range | 8.1004483 | 9.237123 |
| Interquartile range (IQR) | 0.66953781 | 0.44281705 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.89685002 | 0.98995193 |
| Coefficient of variation (CV) | -18.80879 | 171.3659 |
| Kurtosis | 11.067183 | 29.161756 |
| Mean | -0.047682494 | 0.0057768314 |
| Median Absolute Deviation (MAD) | 0.34468387 | 0.2105508 |
| Skewness | 2.5055939 | 4.7731181 |
| Sum | -13.017321 | 1.577075 |
| Variance | 0.80433995 | 0.98000482 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.1538956 | 19 | 7.0% |
| 0.348923871 | 1 | 0.4% |
| -0.389036052 | 1 | 0.4% |
| 1.270654056 | 1 | 0.4% |
| -0.256089619 | 1 | 0.4% |
| -0.029560072 | 1 | 0.4% |
| -0.339814537 | 1 | 0.4% |
| -0.786982692 | 1 | 0.4% |
| -1.05229834 | 1 | 0.4% |
| 0.675786667 | 1 | 0.4% |
| Other values (245) | 245 |
| Value | Count | Frequency (%) |
| -0.217885266 | 19 | 7.0% |
| -0.268026837 | 1 | 0.4% |
| -0.187413424 | 1 | 0.4% |
| -0.563428052 | 1 | 0.4% |
| -0.385132455 | 1 | 0.4% |
| -0.525564212 | 1 | 0.4% |
| -0.541648221 | 1 | 0.4% |
| -0.144932669 | 1 | 0.4% |
| -0.289267423 | 1 | 0.4% |
| 0.647021605 | 1 | 0.4% |
| Other values (245) | 245 |
| Value | Count | Frequency (%) |
| -2.474469205 | 1 | |
| -1.706483119 | 1 | |
| -1.596073199 | 1 | |
| -1.489616207 | 1 | |
| -1.411453779 | 1 | |
| -1.400593168 | 1 | |
| -1.280765405 | 1 | |
| -1.267520682 | 1 | |
| -1.227748947 | 1 | |
| -1.187883995 | 1 |
| Value | Count | Frequency (%) |
| -1.109202297 | 1 | |
| -0.993457406 | 1 | |
| -0.936942945 | 1 | |
| -0.867432553 | 1 | |
| -0.855741509 | 1 | |
| -0.850179715 | 1 | |
| -0.847136038 | 1 | |
| -0.841156087 | 1 | |
| -0.814160788 | 1 | |
| -0.805433275 | 1 |
| Value | Count | Frequency (%) |
| -1.109202297 | 1 | |
| -0.993457406 | 1 | |
| -0.936942945 | 1 | |
| -0.867432553 | 1 | |
| -0.855741509 | 1 | |
| -0.850179715 | 1 | |
| -0.847136038 | 1 | |
| -0.841156087 | 1 | |
| -0.814160788 | 1 | |
| -0.805433275 | 1 |
| Value | Count | Frequency (%) |
| -2.474469205 | 1 | |
| -1.706483119 | 1 | |
| -1.596073199 | 1 | |
| -1.489616207 | 1 | |
| -1.411453779 | 1 | |
| -1.400593168 | 1 | |
| -1.280765405 | 1 | |
| -1.267520682 | 1 | |
| -1.227748947 | 1 | |
| -1.187883995 | 1 |
feature28
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 236 | 263 |
| Distinct (%) | 86.4% | 96.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.042339321 | 0.021015671 |
| Train | Val | |
|---|---|---|
| Minimum | -1.4042505 | -0.77508469 |
| Maximum | 9.8397773 | 8.7485873 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 166 | 173 |
| Negative (%) | 60.8% | 63.4% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.4042505 | -0.77508469 |
| 5-th percentile | -0.90472023 | -0.75171518 |
| Q1 | -0.26576852 | -0.57272295 |
| median | -0.076016221 | -0.27472847 |
| Q3 | 0.22012829 | 0.27063244 |
| 95-th percentile | 0.79489279 | 1.5679179 |
| Maximum | 9.8397773 | 8.7485873 |
| Range | 11.244028 | 9.523672 |
| Interquartile range (IQR) | 0.48589682 | 0.84335539 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.021579 | 1.0750026 |
| Coefficient of variation (CV) | 24.128376 | 51.152429 |
| Kurtosis | 54.589973 | 29.807205 |
| Mean | 0.042339321 | 0.021015671 |
| Median Absolute Deviation (MAD) | 0.23645438 | 0.37371645 |
| Skewness | 6.4208876 | 4.5496663 |
| Sum | 11.558635 | 5.7372782 |
| Variance | 1.0436237 | 1.1556306 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.076016221 | 38 | 13.9% |
| 0.138669377 | 1 | 0.4% |
| 0.640235498 | 1 | 0.4% |
| -0.175429168 | 1 | 0.4% |
| -0.097843481 | 1 | 0.4% |
| 0.508762856 | 1 | 0.4% |
| -0.214459575 | 1 | 0.4% |
| 0.196542722 | 1 | 0.4% |
| -0.012714996 | 1 | 0.4% |
| -0.185237046 | 1 | 0.4% |
| Other values (226) | 226 |
| Value | Count | Frequency (%) |
| -0.274728468 | 11 | 4.0% |
| -0.052249846 | 1 | 0.4% |
| -0.515289074 | 1 | 0.4% |
| 0.40369791 | 1 | 0.4% |
| 1.151520021 | 1 | 0.4% |
| -0.188975951 | 1 | 0.4% |
| 0.472966835 | 1 | 0.4% |
| 0.632381187 | 1 | 0.4% |
| -0.390268958 | 1 | 0.4% |
| -0.7706177 | 1 | 0.4% |
| Other values (253) | 253 |
| Value | Count | Frequency (%) |
| -1.404250546 | 1 | |
| -1.400859851 | 1 | |
| -1.200268323 | 1 | |
| -1.177051674 | 1 | |
| -1.173279583 | 1 | |
| -1.165366701 | 1 | |
| -1.139476258 | 1 | |
| -1.13826592 | 1 | |
| -1.118064518 | 1 | |
| -1.087696396 | 1 |
| Value | Count | Frequency (%) |
| -0.77508469 | 1 | |
| -0.774966913 | 1 | |
| -0.77197559 | 1 | |
| -0.7706177 | 1 | |
| -0.765505236 | 1 | |
| -0.764290849 | 1 | |
| -0.76278477 | 1 | |
| -0.762352927 | 1 | |
| -0.757622773 | 1 | |
| -0.755476865 | 1 |
| Value | Count | Frequency (%) |
| -0.77508469 | 1 | |
| -0.774966913 | 1 | |
| -0.77197559 | 1 | |
| -0.7706177 | 1 | |
| -0.765505236 | 1 | |
| -0.764290849 | 1 | |
| -0.76278477 | 1 | |
| -0.762352927 | 1 | |
| -0.757622773 | 1 | |
| -0.755476865 | 1 |
| Value | Count | Frequency (%) |
| -1.404250546 | 1 | |
| -1.400859851 | 1 | |
| -1.200268323 | 1 | |
| -1.177051674 | 1 | |
| -1.173279583 | 1 | |
| -1.165366701 | 1 | |
| -1.139476258 | 1 | |
| -1.13826592 | 1 | |
| -1.118064518 | 1 | |
| -1.087696396 | 1 |
feature29
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 243 | 262 |
| Distinct (%) | 89.0% | 96.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.071713078 | -0.034826246 |
| Train | Val | |
|---|---|---|
| Minimum | -2.7381742 | -0.79893558 |
| Maximum | 5.2569829 | 7.9533971 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 185 | 188 |
| Negative (%) | 67.8% | 68.9% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.7381742 | -0.79893558 |
| 5-th percentile | -0.73041916 | -0.76108739 |
| Q1 | -0.54728265 | -0.5705523 |
| median | -0.28507888 | -0.27415175 |
| Q3 | 0.14743563 | 0.11060077 |
| 95-th percentile | 1.389827 | 1.3983581 |
| Maximum | 5.2569829 | 7.9533971 |
| Range | 7.9951571 | 8.7523327 |
| Interquartile range (IQR) | 0.69471828 | 0.68115307 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.77479469 | 0.91564798 |
| Coefficient of variation (CV) | -10.804092 | -26.291894 |
| Kurtosis | 10.65082 | 27.401977 |
| Mean | -0.071713078 | -0.034826246 |
| Median Absolute Deviation (MAD) | 0.33373611 | 0.32655493 |
| Skewness | 2.4165804 | 4.112795 |
| Sum | -19.57767 | -9.5075653 |
| Variance | 0.60030681 | 0.83841121 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.285078882 | 31 | 11.4% |
| 0.05132705 | 1 | 0.4% |
| -0.380848225 | 1 | 0.4% |
| 1.483424996 | 1 | 0.4% |
| -0.019380265 | 1 | 0.4% |
| -0.701533247 | 1 | 0.4% |
| -0.601255339 | 1 | 0.4% |
| -0.120679632 | 1 | 0.4% |
| -0.446010048 | 1 | 0.4% |
| -0.208837766 | 1 | 0.4% |
| Other values (233) | 233 |
| Value | Count | Frequency (%) |
| -0.274151749 | 12 | 4.4% |
| -0.299112976 | 1 | 0.4% |
| -0.556996031 | 1 | 0.4% |
| 1.490772685 | 1 | 0.4% |
| -0.62915838 | 1 | 0.4% |
| -0.427881852 | 1 | 0.4% |
| -0.431195134 | 1 | 0.4% |
| -0.556834446 | 1 | 0.4% |
| -0.76219063 | 1 | 0.4% |
| -0.397592613 | 1 | 0.4% |
| Other values (252) | 252 |
| Value | Count | Frequency (%) |
| -2.738174158 | 1 | |
| -0.756820948 | 1 | |
| -0.752886833 | 1 | |
| -0.752179966 | 1 | |
| -0.751627595 | 1 | |
| -0.751433001 | 1 | |
| -0.750624223 | 1 | |
| -0.750399164 | 1 | |
| -0.747317063 | 1 | |
| -0.74500454 | 1 |
| Value | Count | Frequency (%) |
| -0.798935583 | 1 | |
| -0.798216884 | 1 | |
| -0.795569414 | 1 | |
| -0.787829848 | 1 | |
| -0.785198887 | 1 | |
| -0.785067382 | 1 | |
| -0.782733994 | 1 | |
| -0.782369544 | 1 | |
| -0.77607996 | 1 | |
| -0.765055809 | 1 |
| Value | Count | Frequency (%) |
| -0.798935583 | 1 | |
| -0.798216884 | 1 | |
| -0.795569414 | 1 | |
| -0.787829848 | 1 | |
| -0.785198887 | 1 | |
| -0.785067382 | 1 | |
| -0.782733994 | 1 | |
| -0.782369544 | 1 | |
| -0.77607996 | 1 | |
| -0.765055809 | 1 |
| Value | Count | Frequency (%) |
| -2.738174158 | 1 | |
| -0.756820948 | 1 | |
| -0.752886833 | 1 | |
| -0.752179966 | 1 | |
| -0.751627595 | 1 | |
| -0.751433001 | 1 | |
| -0.750624223 | 1 | |
| -0.750399164 | 1 | |
| -0.747317063 | 1 | |
| -0.74500454 | 1 |
feature30
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 243 | 256 |
| Distinct (%) | 89.0% | 93.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.033714877 | 0.022937463 |
| Train | Val | |
|---|---|---|
| Minimum | -2.638376 | -1.297312 |
| Maximum | 7.6630919 | 7.7459987 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 183 | 203 |
| Negative (%) | 67.0% | 74.4% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.638376 | -1.297312 |
| 5-th percentile | -1.0373545 | -0.63363354 |
| Q1 | -0.49584827 | -0.38965947 |
| median | -0.14724978 | -0.2311165 |
| Q3 | 0.14838872 | 0.010625616 |
| 95-th percentile | 1.0623981 | 1.1696206 |
| Maximum | 7.6630919 | 7.7459987 |
| Range | 10.301468 | 9.0433108 |
| Interquartile range (IQR) | 0.64423699 | 0.40028509 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0355609 | 1.0334588 |
| Coefficient of variation (CV) | -30.71525 | 45.055496 |
| Kurtosis | 25.783911 | 27.753352 |
| Mean | -0.033714877 | 0.022937463 |
| Median Absolute Deviation (MAD) | 0.31682055 | 0.19529446 |
| Skewness | 4.169597 | 4.765563 |
| Sum | -9.2041613 | 6.2619274 |
| Variance | 1.0723863 | 1.068037 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.147249782 | 31 | 11.4% |
| -0.93807069 | 1 | 0.4% |
| 7.663091893 | 1 | 0.4% |
| 0.598928931 | 1 | 0.4% |
| 0.554839017 | 1 | 0.4% |
| 0.243560168 | 1 | 0.4% |
| 0.214198585 | 1 | 0.4% |
| -0.02498356 | 1 | 0.4% |
| -0.415069902 | 1 | 0.4% |
| 0.567100277 | 1 | 0.4% |
| Other values (233) | 233 |
| Value | Count | Frequency (%) |
| -0.231116495 | 18 | 6.6% |
| -0.437982345 | 1 | 0.4% |
| -0.306632382 | 1 | 0.4% |
| -0.439358295 | 1 | 0.4% |
| 0.526008081 | 1 | 0.4% |
| -0.291442979 | 1 | 0.4% |
| -0.319792763 | 1 | 0.4% |
| -0.737764755 | 1 | 0.4% |
| -0.577786774 | 1 | 0.4% |
| -0.38167512 | 1 | 0.4% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| -2.638375965 | 1 | |
| -1.623283589 | 1 | |
| -1.473396009 | 1 | |
| -1.372176999 | 1 | |
| -1.347319227 | 1 | |
| -1.338829159 | 1 | |
| -1.199990682 | 1 | |
| -1.161300485 | 1 | |
| -1.121127639 | 1 | |
| -1.117292978 | 1 |
| Value | Count | Frequency (%) |
| -1.297312026 | 1 | |
| -0.839052148 | 1 | |
| -0.823337325 | 1 | |
| -0.750616043 | 1 | |
| -0.747552925 | 1 | |
| -0.747307206 | 1 | |
| -0.737764755 | 1 | |
| -0.722319544 | 1 | |
| -0.676819458 | 1 | |
| -0.664156406 | 1 |
| Value | Count | Frequency (%) |
| -1.297312026 | 1 | |
| -0.839052148 | 1 | |
| -0.823337325 | 1 | |
| -0.750616043 | 1 | |
| -0.747552925 | 1 | |
| -0.747307206 | 1 | |
| -0.737764755 | 1 | |
| -0.722319544 | 1 | |
| -0.676819458 | 1 | |
| -0.664156406 | 1 |
| Value | Count | Frequency (%) |
| -2.638375965 | 1 | |
| -1.623283589 | 1 | |
| -1.473396009 | 1 | |
| -1.372176999 | 1 | |
| -1.347319227 | 1 | |
| -1.338829159 | 1 | |
| -1.199990682 | 1 | |
| -1.161300485 | 1 | |
| -1.121127639 | 1 | |
| -1.117292978 | 1 |
feature31
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.065847755 | 0.079023929 |
| Train | Val | |
|---|---|---|
| Minimum | -2.5573708 | -2.9305431 |
| Maximum | 6.2964414 | 10.460928 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 149 | 152 |
| Negative (%) | 54.6% | 55.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.5573708 | -2.9305431 |
| 5-th percentile | -0.97534419 | -1.082986 |
| Q1 | -0.50415942 | -0.51293276 |
| median | -0.08707062 | -0.083808765 |
| Q3 | 0.31546279 | 0.39042582 |
| 95-th percentile | 0.89914927 | 0.98326235 |
| Maximum | 6.2964414 | 10.460928 |
| Range | 8.8538121 | 13.391471 |
| Interquartile range (IQR) | 0.8196222 | 0.90335858 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.79675481 | 1.3778362 |
| Coefficient of variation (CV) | -12.099954 | 17.435684 |
| Kurtosis | 16.91849 | 34.547881 |
| Mean | -0.065847755 | 0.079023929 |
| Median Absolute Deviation (MAD) | 0.40706345 | 0.4565596 |
| Skewness | 2.1758463 | 5.1775818 |
| Sum | -17.976437 | 21.573533 |
| Variance | 0.63481822 | 1.8984327 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.206867032 | 1 | 0.4% |
| -0.203595829 | 1 | 0.4% |
| -0.407387075 | 1 | 0.4% |
| -0.795309951 | 1 | 0.4% |
| -0.621931022 | 1 | 0.4% |
| -0.494134074 | 1 | 0.4% |
| -0.123042839 | 1 | 0.4% |
| 1.38459088 | 1 | 0.4% |
| 0.506046686 | 1 | 0.4% |
| 0.671897273 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 0.431446712 | 1 | 0.4% |
| -0.94514352 | 1 | 0.4% |
| -0.25266925 | 1 | 0.4% |
| -0.619449974 | 1 | 0.4% |
| 0.296501121 | 1 | 0.4% |
| -0.112582636 | 1 | 0.4% |
| -0.304266067 | 1 | 0.4% |
| -1.11298838 | 1 | 0.4% |
| 0.134232614 | 1 | 0.4% |
| 0.853438809 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.557370754 | 1 | |
| -2.518140167 | 1 | |
| -2.443240592 | 1 | |
| -1.786684148 | 1 | |
| -1.678886768 | 1 | |
| -1.449202267 | 1 | |
| -1.360409046 | 1 | |
| -1.359390065 | 1 | |
| -1.354167959 | 1 | |
| -1.309651947 | 1 |
| Value | Count | Frequency (%) |
| -2.930543078 | 1 | |
| -1.796794433 | 1 | |
| -1.704840654 | 1 | |
| -1.371739593 | 1 | |
| -1.367487811 | 1 | |
| -1.335512549 | 1 | |
| -1.264563542 | 1 | |
| -1.233996418 | 1 | |
| -1.220635069 | 1 | |
| -1.164668036 | 1 |
| Value | Count | Frequency (%) |
| -2.930543078 | 1 | |
| -1.796794433 | 1 | |
| -1.704840654 | 1 | |
| -1.371739593 | 1 | |
| -1.367487811 | 1 | |
| -1.335512549 | 1 | |
| -1.264563542 | 1 | |
| -1.233996418 | 1 | |
| -1.220635069 | 1 | |
| -1.164668036 | 1 |
| Value | Count | Frequency (%) |
| -2.557370754 | 1 | |
| -2.518140167 | 1 | |
| -2.443240592 | 1 | |
| -1.786684148 | 1 | |
| -1.678886768 | 1 | |
| -1.449202267 | 1 | |
| -1.360409046 | 1 | |
| -1.359390065 | 1 | |
| -1.354167959 | 1 | |
| -1.309651947 | 1 |
feature32
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 7 | 9 |
| Distinct (%) | 2.6% | 3.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.034168874 | -0.073768838 |
| Train | Val | |
|---|---|---|
| Minimum | -6.7878784 | -11.32989 |
| Maximum | 6.8492334 | 2.9452186 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 2 | 5 |
| Negative (%) | 0.7% | 1.8% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -6.7878784 | -11.32989 |
| 5-th percentile | 0.005914544 | 0.017935014 |
| Q1 | 0.005914544 | 0.017935014 |
| median | 0.005914544 | 0.017935014 |
| Q3 | 0.005914544 | 0.017935014 |
| 95-th percentile | 0.005914544 | 0.017935014 |
| Maximum | 6.8492334 | 2.9452186 |
| Range | 13.637112 | 14.275108 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.68200632 | 1.0691769 |
| Coefficient of variation (CV) | 19.959871 | -14.493611 |
| Kurtosis | 84.953951 | 80.782385 |
| Mean | 0.034168874 | -0.073768838 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | 1.7565483 | -8.4549637 |
| Sum | 9.3281027 | -20.138893 |
| Variance | 0.46513261 | 1.1431392 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0.005914544 | 267 | |
| 0.640122425 | 1 | 0.4% |
| 6.849233379 | 1 | 0.4% |
| 2.47541626 | 1 | 0.4% |
| -0.616487638 | 1 | 0.4% |
| 5.188513388 | 1 | 0.4% |
| -6.787878396 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.017935014 | 265 | |
| -7.376922392 | 1 | 0.4% |
| -2.994207804 | 1 | 0.4% |
| -11.32988979 | 1 | 0.4% |
| 2.039601276 | 1 | 0.4% |
| 2.945218621 | 1 | 0.4% |
| 2.419942105 | 1 | 0.4% |
| -0.514309869 | 1 | 0.4% |
| -10.08110372 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -6.787878396 | 1 | 0.4% |
| -0.616487638 | 1 | 0.4% |
| 0.005914544 | 267 | |
| 0.640122425 | 1 | 0.4% |
| 2.47541626 | 1 | 0.4% |
| 5.188513388 | 1 | 0.4% |
| 6.849233379 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.32988979 | 1 | 0.4% |
| -10.08110372 | 1 | 0.4% |
| -7.376922392 | 1 | 0.4% |
| -2.994207804 | 1 | 0.4% |
| -0.514309869 | 1 | 0.4% |
| 0.017935014 | 265 | |
| 2.039601276 | 1 | 0.4% |
| 2.419942105 | 1 | 0.4% |
| 2.945218621 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.32988979 | 1 | 0.4% |
| -10.08110372 | 1 | 0.4% |
| -7.376922392 | 1 | 0.4% |
| -2.994207804 | 1 | 0.4% |
| -0.514309869 | 1 | 0.4% |
| 0.017935014 | 265 | |
| 2.039601276 | 1 | 0.4% |
| 2.419942105 | 1 | 0.4% |
| 2.945218621 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -6.787878396 | 1 | 0.4% |
| -0.616487638 | 1 | 0.4% |
| 0.005914544 | 267 | |
| 0.640122425 | 1 | 0.4% |
| 2.47541626 | 1 | 0.4% |
| 5.188513388 | 1 | 0.4% |
| 6.849233379 | 1 | 0.4% |
feature33
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.030433638 | -0.011974809 |
| Train | Val | |
|---|---|---|
| Minimum | -1.8684145 | -1.3730142 |
| Maximum | 5.8327699 | 7.871571 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 177 | 194 |
| Negative (%) | 64.8% | 71.1% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.8684145 | -1.3730142 |
| 5-th percentile | -0.95035122 | -0.84604288 |
| Q1 | -0.51383426 | -0.48529621 |
| median | -0.19386283 | -0.24538152 |
| Q3 | 0.28083765 | 0.07697977 |
| 95-th percentile | 1.4210379 | 1.3906609 |
| Maximum | 5.8327699 | 7.871571 |
| Range | 7.7011844 | 9.2445852 |
| Interquartile range (IQR) | 0.79467192 | 0.56227598 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.89290131 | 1.0406378 |
| Coefficient of variation (CV) | -29.339289 | -86.902247 |
| Kurtosis | 14.85719 | 24.413981 |
| Mean | -0.030433638 | -0.011974809 |
| Median Absolute Deviation (MAD) | 0.36124892 | 0.26538147 |
| Skewness | 3.0457126 | 4.283364 |
| Sum | -8.3083833 | -3.269123 |
| Variance | 0.79727275 | 1.0829271 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.408762439 | 1 | 0.4% |
| 0.849343895 | 1 | 0.4% |
| -0.294366579 | 1 | 0.4% |
| -0.269522889 | 1 | 0.4% |
| -0.513834262 | 1 | 0.4% |
| -0.060560563 | 1 | 0.4% |
| -0.490341122 | 1 | 0.4% |
| -0.111013772 | 1 | 0.4% |
| -0.718858168 | 1 | 0.4% |
| -0.620126856 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 0.031980341 | 1 | 0.4% |
| 0.410826734 | 1 | 0.4% |
| -0.904103968 | 1 | 0.4% |
| 0.189537818 | 1 | 0.4% |
| -0.325630992 | 1 | 0.4% |
| 1.586609308 | 1 | 0.4% |
| 0.929466337 | 1 | 0.4% |
| 0.699924807 | 1 | 0.4% |
| -0.719085371 | 1 | 0.4% |
| -0.384658364 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.868414508 | 1 | |
| -1.382309584 | 1 | |
| -1.272224477 | 1 | |
| -1.260928619 | 1 | |
| -1.231994479 | 1 | |
| -1.146421995 | 1 | |
| -1.116555991 | 1 | |
| -1.057728991 | 1 | |
| -1.017444732 | 1 | |
| -1.010740602 | 1 |
| Value | Count | Frequency (%) |
| -1.373014194 | 1 | |
| -1.36527675 | 1 | |
| -1.32679076 | 1 | |
| -1.26420575 | 1 | |
| -1.195594484 | 1 | |
| -0.971917104 | 1 | |
| -0.962798905 | 1 | |
| -0.96146382 | 1 | |
| -0.930322322 | 1 | |
| -0.914329624 | 1 |
| Value | Count | Frequency (%) |
| -1.373014194 | 1 | |
| -1.36527675 | 1 | |
| -1.32679076 | 1 | |
| -1.26420575 | 1 | |
| -1.195594484 | 1 | |
| -0.971917104 | 1 | |
| -0.962798905 | 1 | |
| -0.96146382 | 1 | |
| -0.930322322 | 1 | |
| -0.914329624 | 1 |
| Value | Count | Frequency (%) |
| -1.868414508 | 1 | |
| -1.382309584 | 1 | |
| -1.272224477 | 1 | |
| -1.260928619 | 1 | |
| -1.231994479 | 1 | |
| -1.146421995 | 1 | |
| -1.116555991 | 1 | |
| -1.057728991 | 1 | |
| -1.017444732 | 1 | |
| -1.010740602 | 1 |
feature34
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 239 | 256 |
| Distinct (%) | 87.5% | 93.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.022493978 | 0.027550052 |
| Train | Val | |
|---|---|---|
| Minimum | -2.1756733 | -3.4170208 |
| Maximum | 8.2236382 | 5.7331866 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 201 | 178 |
| Negative (%) | 73.6% | 65.2% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.1756733 | -3.4170208 |
| 5-th percentile | -0.71403035 | -0.8220424 |
| Q1 | -0.53375678 | -0.57196423 |
| median | -0.29216961 | -0.26476381 |
| Q3 | 0.074190733 | 0.34143162 |
| 95-th percentile | 1.7764308 | 2.0486907 |
| Maximum | 8.2236382 | 5.7331866 |
| Range | 10.399311 | 9.1502074 |
| Interquartile range (IQR) | 0.60794751 | 0.91339585 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0207914 | 1.035158 |
| Coefficient of variation (CV) | -45.380655 | 37.573722 |
| Kurtosis | 26.173466 | 5.897508 |
| Mean | -0.022493978 | 0.027550052 |
| Median Absolute Deviation (MAD) | 0.26007475 | 0.40051845 |
| Skewness | 4.242012 | 1.5179316 |
| Sum | -6.1408559 | 7.5211643 |
| Variance | 1.0420152 | 1.0715521 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.292169608 | 35 | 12.8% |
| -0.551853266 | 1 | 0.4% |
| 0.119694522 | 1 | 0.4% |
| -0.307125318 | 1 | 0.4% |
| -0.40881723 | 1 | 0.4% |
| -0.740259343 | 1 | 0.4% |
| -0.348986736 | 1 | 0.4% |
| -0.685763142 | 1 | 0.4% |
| -0.625758677 | 1 | 0.4% |
| -0.322690222 | 1 | 0.4% |
| Other values (229) | 229 |
| Value | Count | Frequency (%) |
| -0.268553418 | 18 | 6.6% |
| -0.024018147 | 1 | 0.4% |
| -0.668739838 | 1 | 0.4% |
| -0.399105114 | 1 | 0.4% |
| 3.489910923 | 1 | 0.4% |
| -0.813175593 | 1 | 0.4% |
| 1.619789151 | 1 | 0.4% |
| -0.481221574 | 1 | 0.4% |
| -0.597239754 | 1 | 0.4% |
| -0.538772019 | 1 | 0.4% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| -2.175673323 | 1 | |
| -1.079035274 | 1 | |
| -0.756754363 | 1 | |
| -0.752041254 | 1 | |
| -0.751931726 | 1 | |
| -0.748896089 | 1 | |
| -0.745884003 | 1 | |
| -0.745507877 | 1 | |
| -0.740259343 | 1 | |
| -0.732108894 | 1 |
| Value | Count | Frequency (%) |
| -3.417020777 | 1 | |
| -3.271690984 | 1 | |
| -2.876871538 | 1 | |
| -2.680255564 | 1 | |
| -0.860080906 | 1 | |
| -0.85763764 | 1 | |
| -0.84413472 | 1 | |
| -0.843839622 | 1 | |
| -0.843772666 | 1 | |
| -0.843538517 | 1 |
| Value | Count | Frequency (%) |
| -3.417020777 | 1 | |
| -3.271690984 | 1 | |
| -2.876871538 | 1 | |
| -2.680255564 | 1 | |
| -0.860080906 | 1 | |
| -0.85763764 | 1 | |
| -0.84413472 | 1 | |
| -0.843839622 | 1 | |
| -0.843772666 | 1 | |
| -0.843538517 | 1 |
| Value | Count | Frequency (%) |
| -2.175673323 | 1 | |
| -1.079035274 | 1 | |
| -0.756754363 | 1 | |
| -0.752041254 | 1 | |
| -0.751931726 | 1 | |
| -0.748896089 | 1 | |
| -0.745884003 | 1 | |
| -0.745507877 | 1 | |
| -0.740259343 | 1 | |
| -0.732108894 | 1 |
feature35
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.010448594 | 0.027429434 |
| Train | Val | |
|---|---|---|
| Minimum | -2.1424875 | -2.0144012 |
| Maximum | 6.0696709 | 6.3698031 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 158 | 187 |
| Negative (%) | 57.9% | 68.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.1424875 | -2.0144012 |
| 5-th percentile | -1.0688269 | -0.79959896 |
| Q1 | -0.50387461 | -0.4971852 |
| median | -0.14460235 | -0.2207106 |
| Q3 | 0.3114455 | 0.14345577 |
| 95-th percentile | 1.4056297 | 1.6217296 |
| Maximum | 6.0696709 | 6.3698031 |
| Range | 8.2121584 | 8.3842044 |
| Interquartile range (IQR) | 0.81532012 | 0.64064096 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.94530314 | 1.0679018 |
| Coefficient of variation (CV) | -90.4718 | 38.932696 |
| Kurtosis | 13.295428 | 14.674018 |
| Mean | -0.010448594 | 0.027429434 |
| Median Absolute Deviation (MAD) | 0.39797643 | 0.30940625 |
| Skewness | 2.6304488 | 3.4205552 |
| Sum | -2.8524663 | 7.4882354 |
| Variance | 0.89359803 | 1.1404142 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.154782988 | 1 | 0.4% |
| -1.368323414 | 1 | 0.4% |
| -1.052730838 | 1 | 0.4% |
| -0.03373302 | 1 | 0.4% |
| 0.036407428 | 1 | 0.4% |
| -0.520562733 | 1 | 0.4% |
| -0.977570782 | 1 | 0.4% |
| -0.468693219 | 1 | 0.4% |
| -0.333252949 | 1 | 0.4% |
| -0.046650743 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.240032692 | 1 | 0.4% |
| 0.637924786 | 1 | 0.4% |
| -0.043085613 | 1 | 0.4% |
| 0.293069907 | 1 | 0.4% |
| -0.644010099 | 1 | 0.4% |
| 1.007879293 | 1 | 0.4% |
| 1.45315176 | 1 | 0.4% |
| 0.307054082 | 1 | 0.4% |
| -0.20477011 | 1 | 0.4% |
| -0.732367827 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.142487467 | 1 | |
| -1.873673195 | 1 | |
| -1.50763769 | 1 | |
| -1.497102774 | 1 | |
| -1.483023664 | 1 | |
| -1.41891454 | 1 | |
| -1.368323414 | 1 | |
| -1.362061617 | 1 | |
| -1.325219096 | 1 | |
| -1.289721599 | 1 |
| Value | Count | Frequency (%) |
| -2.014401243 | 1 | |
| -1.153095593 | 1 | |
| -1.044926263 | 1 | |
| -1.003198866 | 1 | |
| -0.971222336 | 1 | |
| -0.969199868 | 1 | |
| -0.928802585 | 1 | |
| -0.919253194 | 1 | |
| -0.909104094 | 1 | |
| -0.899259939 | 1 |
| Value | Count | Frequency (%) |
| -2.014401243 | 1 | |
| -1.153095593 | 1 | |
| -1.044926263 | 1 | |
| -1.003198866 | 1 | |
| -0.971222336 | 1 | |
| -0.969199868 | 1 | |
| -0.928802585 | 1 | |
| -0.919253194 | 1 | |
| -0.909104094 | 1 | |
| -0.899259939 | 1 |
| Value | Count | Frequency (%) |
| -2.142487467 | 1 | |
| -1.873673195 | 1 | |
| -1.50763769 | 1 | |
| -1.497102774 | 1 | |
| -1.483023664 | 1 | |
| -1.41891454 | 1 | |
| -1.368323414 | 1 | |
| -1.362061617 | 1 | |
| -1.325219096 | 1 | |
| -1.289721599 | 1 |
feature36
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.013328337 | -0.018356367 |
| Train | Val | |
|---|---|---|
| Minimum | -2.2544275 | -2.9418784 |
| Maximum | 7.6944381 | 8.0065245 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 161 | 157 |
| Negative (%) | 59.0% | 57.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.2544275 | -2.9418784 |
| 5-th percentile | -1.1694066 | -1.2158953 |
| Q1 | -0.45708405 | -0.58014342 |
| median | -0.10377089 | -0.11427631 |
| Q3 | 0.25760426 | 0.36408382 |
| 95-th percentile | 0.9521832 | 1.1908176 |
| Maximum | 7.6944381 | 8.0065245 |
| Range | 9.9488657 | 10.948403 |
| Interquartile range (IQR) | 0.71468831 | 0.94422724 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0487717 | 1.0302427 |
| Coefficient of variation (CV) | 78.687363 | -56.124546 |
| Kurtosis | 19.936642 | 21.038596 |
| Mean | 0.013328337 | -0.018356367 |
| Median Absolute Deviation (MAD) | 0.35892436 | 0.47398979 |
| Skewness | 3.6523706 | 3.3765275 |
| Sum | 3.6386359 | -5.0112881 |
| Variance | 1.099922 | 1.0614001 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.779815611 | 1 | 0.4% |
| 0.590040877 | 1 | 0.4% |
| 0.238582811 | 1 | 0.4% |
| -0.658470789 | 1 | 0.4% |
| -1.844766583 | 1 | 0.4% |
| 0.746211691 | 1 | 0.4% |
| -0.529079346 | 1 | 0.4% |
| -0.583137368 | 1 | 0.4% |
| -0.208274301 | 1 | 0.4% |
| -0.032679618 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.15585786 | 1 | 0.4% |
| 1.230196189 | 1 | 0.4% |
| -0.049219692 | 1 | 0.4% |
| -1.032790995 | 1 | 0.4% |
| 0.148390256 | 1 | 0.4% |
| -0.667804056 | 1 | 0.4% |
| -1.524188416 | 1 | 0.4% |
| -0.095863202 | 1 | 0.4% |
| -1.678213061 | 1 | 0.4% |
| 0.063887461 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.254427521 | 1 | |
| -1.844766583 | 1 | |
| -1.819108878 | 1 | |
| -1.380503349 | 1 | |
| -1.356414101 | 1 | |
| -1.343485267 | 1 | |
| -1.320320846 | 1 | |
| -1.316346589 | 1 | |
| -1.313378394 | 1 | |
| -1.269192901 | 1 |
| Value | Count | Frequency (%) |
| -2.941878444 | 1 | |
| -1.678213061 | 1 | |
| -1.610753846 | 1 | |
| -1.524188416 | 1 | |
| -1.4230782 | 1 | |
| -1.399405729 | 1 | |
| -1.335984312 | 1 | |
| -1.319164235 | 1 | |
| -1.314205744 | 1 | |
| -1.3066001 | 1 |
| Value | Count | Frequency (%) |
| -2.941878444 | 1 | |
| -1.678213061 | 1 | |
| -1.610753846 | 1 | |
| -1.524188416 | 1 | |
| -1.4230782 | 1 | |
| -1.399405729 | 1 | |
| -1.335984312 | 1 | |
| -1.319164235 | 1 | |
| -1.314205744 | 1 | |
| -1.3066001 | 1 |
| Value | Count | Frequency (%) |
| -2.254427521 | 1 | |
| -1.844766583 | 1 | |
| -1.819108878 | 1 | |
| -1.380503349 | 1 | |
| -1.356414101 | 1 | |
| -1.343485267 | 1 | |
| -1.320320846 | 1 | |
| -1.316346589 | 1 | |
| -1.313378394 | 1 | |
| -1.269192901 | 1 |
feature37
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 249 | 255 |
| Distinct (%) | 91.2% | 93.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.023485039 | -0.019084912 |
| Train | Val | |
|---|---|---|
| Minimum | -2.5114481 | -1.1667298 |
| Maximum | 9.374567 | 10.468443 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 156 | 166 |
| Negative (%) | 57.1% | 60.8% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.5114481 | -1.1667298 |
| 5-th percentile | -0.8091728 | -0.8467694 |
| Q1 | -0.3697153 | -0.52631564 |
| median | -0.088905313 | -0.10233489 |
| Q3 | 0.31030778 | 0.34329366 |
| 95-th percentile | 0.62028435 | 0.8045119 |
| Maximum | 9.374567 | 10.468443 |
| Range | 11.886015 | 11.635172 |
| Interquartile range (IQR) | 0.68002308 | 0.8696093 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.97218619 | 1.0119987 |
| Coefficient of variation (CV) | 41.395979 | -53.026111 |
| Kurtosis | 56.038523 | 65.429827 |
| Mean | 0.023485039 | -0.019084912 |
| Median Absolute Deviation (MAD) | 0.33236508 | 0.43373345 |
| Skewness | 6.4344802 | 6.9242153 |
| Sum | 6.4114157 | -5.2101811 |
| Variance | 0.94514599 | 1.0241414 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.088905313 | 25 | 9.2% |
| 0.272372986 | 1 | 0.4% |
| -0.162883101 | 1 | 0.4% |
| 0.175650432 | 1 | 0.4% |
| 0.429875272 | 1 | 0.4% |
| 0.14486468 | 1 | 0.4% |
| 0.075107767 | 1 | 0.4% |
| -0.37599985 | 1 | 0.4% |
| -0.352262804 | 1 | 0.4% |
| 0.378515063 | 1 | 0.4% |
| Other values (239) | 239 |
| Value | Count | Frequency (%) |
| -0.102334891 | 19 | 7.0% |
| -0.199998483 | 1 | 0.4% |
| -0.829023382 | 1 | 0.4% |
| 0.572942154 | 1 | 0.4% |
| -0.083663103 | 1 | 0.4% |
| 0.458995286 | 1 | 0.4% |
| -0.526315642 | 1 | 0.4% |
| 0.421745912 | 1 | 0.4% |
| 0.439667531 | 1 | 0.4% |
| -0.422865227 | 1 | 0.4% |
| Other values (245) | 245 |
| Value | Count | Frequency (%) |
| -2.511448079 | 1 | |
| -1.069822463 | 1 | |
| -0.910301133 | 1 | |
| -0.90259234 | 1 | |
| -0.878666182 | 1 | |
| -0.875296896 | 1 | |
| -0.860482817 | 1 | |
| -0.860216518 | 1 | |
| -0.857931196 | 1 | |
| -0.854615668 | 1 |
| Value | Count | Frequency (%) |
| -1.166729803 | 1 | |
| -0.962513033 | 1 | |
| -0.948878709 | 1 | |
| -0.913762692 | 1 | |
| -0.912114552 | 1 | |
| -0.904542066 | 1 | |
| -0.898781459 | 1 | |
| -0.878921382 | 1 | |
| -0.874153948 | 1 | |
| -0.872274808 | 1 |
| Value | Count | Frequency (%) |
| -1.166729803 | 1 | |
| -0.962513033 | 1 | |
| -0.948878709 | 1 | |
| -0.913762692 | 1 | |
| -0.912114552 | 1 | |
| -0.904542066 | 1 | |
| -0.898781459 | 1 | |
| -0.878921382 | 1 | |
| -0.874153948 | 1 | |
| -0.872274808 | 1 |
| Value | Count | Frequency (%) |
| -2.511448079 | 1 | |
| -1.069822463 | 1 | |
| -0.910301133 | 1 | |
| -0.90259234 | 1 | |
| -0.878666182 | 1 | |
| -0.875296896 | 1 | |
| -0.860482817 | 1 | |
| -0.860216518 | 1 | |
| -0.857931196 | 1 | |
| -0.854615668 | 1 |
feature38
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 250 | 258 |
| Distinct (%) | 91.6% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.088035093 | 0.014948348 |
| Train | Val | |
|---|---|---|
| Minimum | -2.1244888 | -2.5012696 |
| Maximum | 8.8546872 | 8.149409 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 175 | 179 |
| Negative (%) | 64.1% | 65.6% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.1244888 | -2.5012696 |
| 5-th percentile | -1.0068328 | -0.78960291 |
| Q1 | -0.43090542 | -0.56221343 |
| median | -0.065338808 | -0.27711271 |
| Q3 | 0.15244119 | 0.22413749 |
| 95-th percentile | 0.78333839 | 1.8881342 |
| Maximum | 8.8546872 | 8.149409 |
| Range | 10.979176 | 10.650679 |
| Interquartile range (IQR) | 0.58334661 | 0.78635092 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.76862262 | 1.0402689 |
| Coefficient of variation (CV) | -8.7308662 | 69.590892 |
| Kurtosis | 66.80481 | 20.351703 |
| Mean | -0.088035093 | 0.014948348 |
| Median Absolute Deviation (MAD) | 0.30897285 | 0.3323703 |
| Skewness | 5.7478318 | 3.6507866 |
| Sum | -24.03358 | 4.0808989 |
| Variance | 0.59078073 | 1.0821593 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.065338808 | 24 | 8.8% |
| -0.646116925 | 1 | 0.4% |
| 1.27119741 | 1 | 0.4% |
| -0.971212371 | 1 | 0.4% |
| 0.17692877 | 1 | 0.4% |
| -0.206351107 | 1 | 0.4% |
| 0.248643899 | 1 | 0.4% |
| 0.41691718 | 1 | 0.4% |
| -0.406213429 | 1 | 0.4% |
| -1.164429315 | 1 | 0.4% |
| Other values (240) | 240 |
| Value | Count | Frequency (%) |
| -0.288478061 | 16 | 5.9% |
| -0.236271683 | 1 | 0.4% |
| -0.812534808 | 1 | 0.4% |
| 1.991791507 | 1 | 0.4% |
| -0.004056766 | 1 | 0.4% |
| -0.623055198 | 1 | 0.4% |
| 0.599835307 | 1 | 0.4% |
| -0.803142525 | 1 | 0.4% |
| -0.175670821 | 1 | 0.4% |
| 0.526757163 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -2.124488782 | 1 | |
| -1.630917513 | 1 | |
| -1.482686552 | 1 | |
| -1.381913034 | 1 | |
| -1.306832605 | 1 | |
| -1.26370194 | 1 | |
| -1.244542747 | 1 | |
| -1.239806318 | 1 | |
| -1.164429315 | 1 | |
| -1.126525095 | 1 |
| Value | Count | Frequency (%) |
| -2.501269593 | 1 | |
| -1.07053422 | 1 | |
| -0.813334096 | 1 | |
| -0.812534808 | 1 | |
| -0.812091355 | 1 | |
| -0.811997884 | 1 | |
| -0.811924953 | 1 | |
| -0.806861943 | 1 | |
| -0.803142525 | 1 | |
| -0.802692713 | 1 |
| Value | Count | Frequency (%) |
| -2.501269593 | 1 | |
| -1.07053422 | 1 | |
| -0.813334096 | 1 | |
| -0.812534808 | 1 | |
| -0.812091355 | 1 | |
| -0.811997884 | 1 | |
| -0.811924953 | 1 | |
| -0.806861943 | 1 | |
| -0.803142525 | 1 | |
| -0.802692713 | 1 |
| Value | Count | Frequency (%) |
| -2.124488782 | 1 | |
| -1.630917513 | 1 | |
| -1.482686552 | 1 | |
| -1.381913034 | 1 | |
| -1.306832605 | 1 | |
| -1.26370194 | 1 | |
| -1.244542747 | 1 | |
| -1.239806318 | 1 | |
| -1.164429315 | 1 | |
| -1.126525095 | 1 |
feature39
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.021658219 | 0.050460449 |
| Train | Val | |
|---|---|---|
| Minimum | -2.5901097 | -2.3052594 |
| Maximum | 7.8259249 | 8.0470801 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 144 | 151 |
| Negative (%) | 52.7% | 55.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.5901097 | -2.3052594 |
| 5-th percentile | -1.0869644 | -1.0575726 |
| Q1 | -0.56460914 | -0.48650198 |
| median | -0.093307387 | -0.073918686 |
| Q3 | 0.37570417 | 0.38303476 |
| 95-th percentile | 0.96038774 | 1.1935122 |
| Maximum | 7.8259249 | 8.0470801 |
| Range | 10.416035 | 10.35234 |
| Interquartile range (IQR) | 0.94031331 | 0.86953674 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.88182044 | 1.1218347 |
| Coefficient of variation (CV) | -40.71528 | 22.23196 |
| Kurtosis | 23.964081 | 22.999646 |
| Mean | -0.021658219 | 0.050460449 |
| Median Absolute Deviation (MAD) | 0.47130175 | 0.43742684 |
| Skewness | 3.0313869 | 3.9413425 |
| Sum | -5.9126938 | 13.775703 |
| Variance | 0.77760729 | 1.2585131 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.573828032 | 1 | 0.4% |
| -0.385517026 | 1 | 0.4% |
| 0.315378668 | 1 | 0.4% |
| 0.30782497 | 1 | 0.4% |
| 0.487727148 | 1 | 0.4% |
| -0.564609138 | 1 | 0.4% |
| -0.214005828 | 1 | 0.4% |
| 0.72124602 | 1 | 0.4% |
| 0.923637393 | 1 | 0.4% |
| 0.411272504 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.0008164 | 1 | 0.4% |
| -1.059430727 | 1 | 0.4% |
| -0.749963567 | 1 | 0.4% |
| 0.468481426 | 1 | 0.4% |
| 0.239983383 | 1 | 0.4% |
| 0.011884681 | 1 | 0.4% |
| -0.707705436 | 1 | 0.4% |
| -0.909442263 | 1 | 0.4% |
| 0.001125105 | 1 | 0.4% |
| 1.309293595 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.59010967 | 1 | |
| -1.956641883 | 1 | |
| -1.881676425 | 1 | |
| -1.469033985 | 1 | |
| -1.430697576 | 1 | |
| -1.393527593 | 1 | |
| -1.36330983 | 1 | |
| -1.33255563 | 1 | |
| -1.284656611 | 1 | |
| -1.221706645 | 1 |
| Value | Count | Frequency (%) |
| -2.305259417 | 1 | |
| -1.865397833 | 1 | |
| -1.7651902 | 1 | |
| -1.355138909 | 1 | |
| -1.337042725 | 1 | |
| -1.331950126 | 1 | |
| -1.291323046 | 1 | |
| -1.28363901 | 1 | |
| -1.213855478 | 1 | |
| -1.204249778 | 1 |
| Value | Count | Frequency (%) |
| -2.305259417 | 1 | |
| -1.865397833 | 1 | |
| -1.7651902 | 1 | |
| -1.355138909 | 1 | |
| -1.337042725 | 1 | |
| -1.331950126 | 1 | |
| -1.291323046 | 1 | |
| -1.28363901 | 1 | |
| -1.213855478 | 1 | |
| -1.204249778 | 1 |
| Value | Count | Frequency (%) |
| -2.59010967 | 1 | |
| -1.956641883 | 1 | |
| -1.881676425 | 1 | |
| -1.469033985 | 1 | |
| -1.430697576 | 1 | |
| -1.393527593 | 1 | |
| -1.36330983 | 1 | |
| -1.33255563 | 1 | |
| -1.284656611 | 1 | |
| -1.221706645 | 1 |
feature40
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 246 | 255 |
| Distinct (%) | 90.1% | 93.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.025971052 | -0.0049278498 |
| Train | Val | |
|---|---|---|
| Minimum | -2.4873858 | -0.76231884 |
| Maximum | 9.6708902 | 7.0428041 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 160 | 182 |
| Negative (%) | 58.6% | 66.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.4873858 | -0.76231884 |
| 5-th percentile | -0.77903941 | -0.71010561 |
| Q1 | -0.45415535 | -0.56491333 |
| median | -0.10524908 | -0.29221007 |
| Q3 | 0.28642325 | 0.23251506 |
| 95-th percentile | 0.62084457 | 1.4589086 |
| Maximum | 9.6708902 | 7.0428041 |
| Range | 12.158276 | 7.8051229 |
| Interquartile range (IQR) | 0.7405786 | 0.79742839 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.825407 | 0.92496892 |
| Coefficient of variation (CV) | -31.781808 | -187.70234 |
| Kurtosis | 72.221167 | 18.133982 |
| Mean | -0.025971052 | -0.0049278498 |
| Median Absolute Deviation (MAD) | 0.36202786 | 0.31608396 |
| Skewness | 6.5855253 | 3.5299015 |
| Sum | -7.0900972 | -1.345303 |
| Variance | 0.68129671 | 0.85556751 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.105249081 | 28 | 10.3% |
| -0.687931343 | 1 | 0.4% |
| 0.260302539 | 1 | 0.4% |
| 0.475315199 | 1 | 0.4% |
| 0.474357983 | 1 | 0.4% |
| -0.597612133 | 1 | 0.4% |
| 0.426639209 | 1 | 0.4% |
| -0.427101213 | 1 | 0.4% |
| 0.323816841 | 1 | 0.4% |
| -0.853563576 | 1 | 0.4% |
| Other values (236) | 236 |
| Value | Count | Frequency (%) |
| -0.292210069 | 19 | 7.0% |
| 0.582846469 | 1 | 0.4% |
| -0.364285101 | 1 | 0.4% |
| -0.69518954 | 1 | 0.4% |
| 0.755514114 | 1 | 0.4% |
| -0.396521349 | 1 | 0.4% |
| -0.579613204 | 1 | 0.4% |
| 3.301711113 | 1 | 0.4% |
| 0.215492007 | 1 | 0.4% |
| 1.169767595 | 1 | 0.4% |
| Other values (245) | 245 |
| Value | Count | Frequency (%) |
| -2.487385757 | 1 | |
| -1.420436909 | 1 | |
| -0.88617179 | 1 | |
| -0.885733004 | 1 | |
| -0.878492 | 1 | |
| -0.86644914 | 1 | |
| -0.853563576 | 1 | |
| -0.852189988 | 1 | |
| -0.841470153 | 1 | |
| -0.822538965 | 1 |
| Value | Count | Frequency (%) |
| -0.762318837 | 1 | |
| -0.761210702 | 1 | |
| -0.760035046 | 1 | |
| -0.759360461 | 1 | |
| -0.743657768 | 1 | |
| -0.735932807 | 1 | |
| -0.735665244 | 1 | |
| -0.725536328 | 1 | |
| -0.725016972 | 1 | |
| -0.718562767 | 1 |
| Value | Count | Frequency (%) |
| -0.762318837 | 1 | |
| -0.761210702 | 1 | |
| -0.760035046 | 1 | |
| -0.759360461 | 1 | |
| -0.743657768 | 1 | |
| -0.735932807 | 1 | |
| -0.735665244 | 1 | |
| -0.725536328 | 1 | |
| -0.725016972 | 1 | |
| -0.718562767 | 1 |
| Value | Count | Frequency (%) |
| -2.487385757 | 1 | |
| -1.420436909 | 1 | |
| -0.88617179 | 1 | |
| -0.885733004 | 1 | |
| -0.878492 | 1 | |
| -0.86644914 | 1 | |
| -0.853563576 | 1 | |
| -0.852189988 | 1 | |
| -0.841470153 | 1 | |
| -0.822538965 | 1 |
feature41
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 242 | 256 |
| Distinct (%) | 88.6% | 93.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.063249677 | -0.02720006 |
| Train | Val | |
|---|---|---|
| Minimum | -2.0025476 | -3.1925374 |
| Maximum | 9.9922394 | 8.0596012 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 177 | 153 |
| Negative (%) | 64.8% | 56.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.0025476 | -3.1925374 |
| 5-th percentile | -0.78963505 | -1.1150877 |
| Q1 | -0.35780827 | -0.5293585 |
| median | -0.082117286 | -0.037273991 |
| Q3 | 0.13286308 | 0.35552542 |
| 95-th percentile | 0.85695601 | 1.0548249 |
| Maximum | 9.9922394 | 8.0596012 |
| Range | 11.994787 | 11.252139 |
| Interquartile range (IQR) | 0.49067135 | 0.88488392 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.2458669 | 0.94742946 |
| Coefficient of variation (CV) | 19.697601 | -34.831888 |
| Kurtosis | 41.480827 | 23.735482 |
| Mean | 0.063249677 | -0.02720006 |
| Median Absolute Deviation (MAD) | 0.23513481 | 0.45208374 |
| Skewness | 5.9742762 | 3.1145683 |
| Sum | 17.267162 | -7.4256165 |
| Variance | 1.5521844 | 0.89762257 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.082117286 | 32 | 11.7% |
| -0.696309476 | 1 | 0.4% |
| -0.427320499 | 1 | 0.4% |
| -0.202196846 | 1 | 0.4% |
| -0.089091839 | 1 | 0.4% |
| 0.693899853 | 1 | 0.4% |
| 0.057798532 | 1 | 0.4% |
| -0.445640697 | 1 | 0.4% |
| 0.100983769 | 1 | 0.4% |
| 0.467872478 | 1 | 0.4% |
| Other values (232) | 232 |
| Value | Count | Frequency (%) |
| -0.037273991 | 18 | 6.6% |
| -0.652802344 | 1 | 0.4% |
| 0.798535313 | 1 | 0.4% |
| 0.011172029 | 1 | 0.4% |
| 0.207050166 | 1 | 0.4% |
| -0.397824531 | 1 | 0.4% |
| 0.963978003 | 1 | 0.4% |
| -0.994372651 | 1 | 0.4% |
| -1.653139332 | 1 | 0.4% |
| 0.068047493 | 1 | 0.4% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| -2.002547592 | 1 | |
| -1.305339975 | 1 | |
| -1.264547884 | 1 | |
| -1.249911391 | 1 | |
| -1.233522473 | 1 | |
| -1.108538004 | 1 | |
| -1.062125727 | 1 | |
| -1.054500268 | 1 | |
| -1.003551988 | 1 | |
| -0.961403117 | 1 |
| Value | Count | Frequency (%) |
| -3.192537424 | 1 | |
| -2.40248249 | 1 | |
| -2.083984618 | 1 | |
| -1.751114844 | 1 | |
| -1.682488352 | 1 | |
| -1.653139332 | 1 | |
| -1.487318742 | 1 | |
| -1.445134865 | 1 | |
| -1.428331256 | 1 | |
| -1.333274935 | 1 |
| Value | Count | Frequency (%) |
| -3.192537424 | 1 | |
| -2.40248249 | 1 | |
| -2.083984618 | 1 | |
| -1.751114844 | 1 | |
| -1.682488352 | 1 | |
| -1.653139332 | 1 | |
| -1.487318742 | 1 | |
| -1.445134865 | 1 | |
| -1.428331256 | 1 | |
| -1.333274935 | 1 |
| Value | Count | Frequency (%) |
| -2.002547592 | 1 | |
| -1.305339975 | 1 | |
| -1.264547884 | 1 | |
| -1.249911391 | 1 | |
| -1.233522473 | 1 | |
| -1.108538004 | 1 | |
| -1.062125727 | 1 | |
| -1.054500268 | 1 | |
| -1.003551988 | 1 | |
| -0.961403117 | 1 |
feature42
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 244 | 259 |
| Distinct (%) | 89.4% | 94.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.077310424 | 0.033614093 |
| Train | Val | |
|---|---|---|
| Minimum | -2.4944921 | -1.5847068 |
| Maximum | 7.9683025 | 5.6477565 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 176 | 142 |
| Negative (%) | 64.5% | 52.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.4944921 | -1.5847068 |
| 5-th percentile | -1.0298224 | -1.2171159 |
| Q1 | -0.47744947 | -0.45678301 |
| median | -0.093534035 | -0.022081764 |
| Q3 | 0.27460477 | 0.38118844 |
| 95-th percentile | 0.79716106 | 1.1406086 |
| Maximum | 7.9683025 | 5.6477565 |
| Range | 10.462795 | 7.2324634 |
| Interquartile range (IQR) | 0.75205423 | 0.83797145 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.82864016 | 0.94992651 |
| Coefficient of variation (CV) | -10.71835 | 28.259769 |
| Kurtosis | 37.018231 | 12.110764 |
| Mean | -0.077310424 | 0.033614093 |
| Median Absolute Deviation (MAD) | 0.37838296 | 0.43390483 |
| Skewness | 4.2373707 | 2.5522977 |
| Sum | -21.105746 | 9.1766475 |
| Variance | 0.68664451 | 0.90236038 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.093534035 | 30 | 11.0% |
| -0.517567587 | 1 | 0.4% |
| 0.014272128 | 1 | 0.4% |
| 0.300911988 | 1 | 0.4% |
| -0.210683162 | 1 | 0.4% |
| 0.381137967 | 1 | 0.4% |
| 0.336559672 | 1 | 0.4% |
| 0.128925467 | 1 | 0.4% |
| -1.218442933 | 1 | 0.4% |
| -0.682459632 | 1 | 0.4% |
| Other values (234) | 234 |
| Value | Count | Frequency (%) |
| -0.055825156 | 15 | 5.5% |
| 0.908497045 | 1 | 0.4% |
| 1.703058454 | 1 | 0.4% |
| -0.490643062 | 1 | 0.4% |
| 0.110127673 | 1 | 0.4% |
| 0.187392157 | 1 | 0.4% |
| 0.017743572 | 1 | 0.4% |
| 0.563649099 | 1 | 0.4% |
| -0.09475655 | 1 | 0.4% |
| -0.547281889 | 1 | 0.4% |
| Other values (249) | 249 |
| Value | Count | Frequency (%) |
| -2.494492085 | 1 | |
| -1.939076925 | 1 | |
| -1.671537899 | 1 | |
| -1.475328749 | 1 | |
| -1.445856836 | 1 | |
| -1.222429408 | 1 | |
| -1.218442933 | 1 | |
| -1.213353725 | 1 | |
| -1.202779645 | 1 | |
| -1.201170309 | 1 |
| Value | Count | Frequency (%) |
| -1.584706847 | 1 | |
| -1.445833103 | 1 | |
| -1.415149088 | 1 | |
| -1.386538678 | 1 | |
| -1.357978457 | 1 | |
| -1.312386247 | 1 | |
| -1.312046429 | 1 | |
| -1.309203018 | 1 | |
| -1.295793616 | 1 | |
| -1.288616004 | 1 |
| Value | Count | Frequency (%) |
| -1.584706847 | 1 | |
| -1.445833103 | 1 | |
| -1.415149088 | 1 | |
| -1.386538678 | 1 | |
| -1.357978457 | 1 | |
| -1.312386247 | 1 | |
| -1.312046429 | 1 | |
| -1.309203018 | 1 | |
| -1.295793616 | 1 | |
| -1.288616004 | 1 |
| Value | Count | Frequency (%) |
| -2.494492085 | 1 | |
| -1.939076925 | 1 | |
| -1.671537899 | 1 | |
| -1.475328749 | 1 | |
| -1.445856836 | 1 | |
| -1.222429408 | 1 | |
| -1.218442933 | 1 | |
| -1.213353725 | 1 | |
| -1.202779645 | 1 | |
| -1.201170309 | 1 |
feature43
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 246 | 261 |
| Distinct (%) | 90.1% | 95.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.044504338 | 0.047616495 |
| Train | Val | |
|---|---|---|
| Minimum | -1.5194441 | -3.1610268 |
| Maximum | 8.2896561 | 6.0303644 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 158 | 140 |
| Negative (%) | 57.9% | 51.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.5194441 | -3.1610268 |
| 5-th percentile | -1.0010029 | -1.2841035 |
| Q1 | -0.45041872 | -0.52236204 |
| median | -0.092818597 | -0.026473686 |
| Q3 | 0.2796028 | 0.43252558 |
| 95-th percentile | 1.0467539 | 1.2707385 |
| Maximum | 8.2896561 | 6.0303644 |
| Range | 9.8091002 | 9.1913913 |
| Interquartile range (IQR) | 0.73002151 | 0.95488763 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0356843 | 1.0181933 |
| Coefficient of variation (CV) | 23.271537 | 21.383205 |
| Kurtosis | 30.060389 | 12.627188 |
| Mean | 0.044504338 | 0.047616495 |
| Median Absolute Deviation (MAD) | 0.35867692 | 0.47950699 |
| Skewness | 4.5688056 | 2.2246638 |
| Sum | 12.149684 | 12.999303 |
| Variance | 1.0726421 | 1.0367176 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.092818597 | 28 | 10.3% |
| -0.488355283 | 1 | 0.4% |
| 0.055982347 | 1 | 0.4% |
| -0.817500115 | 1 | 0.4% |
| 0.196197814 | 1 | 0.4% |
| 0.235766461 | 1 | 0.4% |
| -0.942134837 | 1 | 0.4% |
| -0.550380293 | 1 | 0.4% |
| -0.638937776 | 1 | 0.4% |
| -0.121842077 | 1 | 0.4% |
| Other values (236) | 236 |
| Value | Count | Frequency (%) |
| -0.066703058 | 13 | 4.8% |
| 0.252198708 | 1 | 0.4% |
| 0.34848811 | 1 | 0.4% |
| -0.177397168 | 1 | 0.4% |
| 0.000897964 | 1 | 0.4% |
| 0.028991559 | 1 | 0.4% |
| 1.134364558 | 1 | 0.4% |
| 0.711022984 | 1 | 0.4% |
| -1.052342035 | 1 | 0.4% |
| 1.264088415 | 1 | 0.4% |
| Other values (251) | 251 |
| Value | Count | Frequency (%) |
| -1.519444123 | 1 | |
| -1.347818971 | 1 | |
| -1.290259554 | 1 | |
| -1.277423624 | 1 | |
| -1.276589001 | 1 | |
| -1.238927317 | 1 | |
| -1.196289528 | 1 | |
| -1.195263847 | 1 | |
| -1.103445678 | 1 | |
| -1.069192212 | 1 |
| Value | Count | Frequency (%) |
| -3.161026838 | 1 | |
| -2.561573691 | 1 | |
| -2.285164129 | 1 | |
| -1.998243179 | 1 | |
| -1.861531789 | 1 | |
| -1.690803144 | 1 | |
| -1.666048662 | 1 | |
| -1.602561586 | 1 | |
| -1.582208198 | 1 | |
| -1.516133284 | 1 |
| Value | Count | Frequency (%) |
| -3.161026838 | 1 | |
| -2.561573691 | 1 | |
| -2.285164129 | 1 | |
| -1.998243179 | 1 | |
| -1.861531789 | 1 | |
| -1.690803144 | 1 | |
| -1.666048662 | 1 | |
| -1.602561586 | 1 | |
| -1.582208198 | 1 | |
| -1.516133284 | 1 |
| Value | Count | Frequency (%) |
| -1.519444123 | 1 | |
| -1.347818971 | 1 | |
| -1.290259554 | 1 | |
| -1.277423624 | 1 | |
| -1.276589001 | 1 | |
| -1.238927317 | 1 | |
| -1.196289528 | 1 | |
| -1.195263847 | 1 | |
| -1.103445678 | 1 | |
| -1.069192212 | 1 |
feature44
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.071599846 | 0.098290657 |
| Train | Val | |
|---|---|---|
| Minimum | -2.1031313 | -1.2093725 |
| Maximum | 3.7192557 | 9.4617265 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 157 | 167 |
| Negative (%) | 57.5% | 61.2% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.1031313 | -1.2093725 |
| 5-th percentile | -1.0789216 | -0.76549065 |
| Q1 | -0.49738547 | -0.44223388 |
| median | -0.11124755 | -0.196827 |
| Q3 | 0.25381642 | 0.21576968 |
| 95-th percentile | 1.0155296 | 1.2367747 |
| Maximum | 3.7192557 | 9.4617265 |
| Range | 5.8223871 | 10.671099 |
| Interquartile range (IQR) | 0.75120189 | 0.65800356 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.68585227 | 1.3092786 |
| Coefficient of variation (CV) | -9.5789628 | 13.320479 |
| Kurtosis | 3.537285 | 26.259291 |
| Mean | -0.071599846 | 0.098290657 |
| Median Absolute Deviation (MAD) | 0.3858086 | 0.32031739 |
| Skewness | 0.78804299 | 4.7594588 |
| Sum | -19.546758 | 26.833349 |
| Variance | 0.47039333 | 1.7142104 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.440725499 | 1 | 0.4% |
| 0.950843698 | 1 | 0.4% |
| -0.648230262 | 1 | 0.4% |
| 0.175268231 | 1 | 0.4% |
| -0.901452436 | 1 | 0.4% |
| 0.596919028 | 1 | 0.4% |
| -0.673939378 | 1 | 0.4% |
| 0.670528463 | 1 | 0.4% |
| 0.112652625 | 1 | 0.4% |
| -0.510072123 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.347135877 | 1 | 0.4% |
| -0.558798264 | 1 | 0.4% |
| -0.635876923 | 1 | 0.4% |
| -0.302162777 | 1 | 0.4% |
| -0.310576041 | 1 | 0.4% |
| -0.327126585 | 1 | 0.4% |
| 0.215769683 | 1 | 0.4% |
| -0.24032981 | 1 | 0.4% |
| -0.104399962 | 1 | 0.4% |
| 0.402259727 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.103131335 | 1 | |
| -2.034277016 | 1 | |
| -1.775795657 | 1 | |
| -1.458134256 | 1 | |
| -1.397258604 | 1 | |
| -1.285260592 | 1 | |
| -1.277671048 | 1 | |
| -1.2315296 | 1 | |
| -1.216703271 | 1 | |
| -1.176474108 | 1 |
| Value | Count | Frequency (%) |
| -1.209372498 | 1 | |
| -0.927212333 | 1 | |
| -0.897326559 | 1 | |
| -0.879725571 | 1 | |
| -0.874664193 | 1 | |
| -0.873910637 | 1 | |
| -0.833744266 | 1 | |
| -0.821650702 | 1 | |
| -0.817811106 | 1 | |
| -0.811826895 | 1 |
| Value | Count | Frequency (%) |
| -1.209372498 | 1 | |
| -0.927212333 | 1 | |
| -0.897326559 | 1 | |
| -0.879725571 | 1 | |
| -0.874664193 | 1 | |
| -0.873910637 | 1 | |
| -0.833744266 | 1 | |
| -0.821650702 | 1 | |
| -0.817811106 | 1 | |
| -0.811826895 | 1 |
| Value | Count | Frequency (%) |
| -2.103131335 | 1 | |
| -2.034277016 | 1 | |
| -1.775795657 | 1 | |
| -1.458134256 | 1 | |
| -1.397258604 | 1 | |
| -1.285260592 | 1 | |
| -1.277671048 | 1 | |
| -1.2315296 | 1 | |
| -1.216703271 | 1 | |
| -1.176474108 | 1 |
feature45
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 247 | 262 |
| Distinct (%) | 90.5% | 96.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.038295233 | -0.085212244 |
| Train | Val | |
|---|---|---|
| Minimum | -0.83173431 | -0.53369806 |
| Maximum | 11.648119 | 6.8947749 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 219 | 251 |
| Negative (%) | 80.2% | 91.9% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.83173431 | -0.53369806 |
| 5-th percentile | -0.59576013 | -0.35148042 |
| Q1 | -0.35031506 | -0.23439552 |
| median | -0.1956531 | -0.15792808 |
| Q3 | -0.044502384 | -0.097667664 |
| 95-th percentile | 1.8155109 | 0.046878883 |
| Maximum | 11.648119 | 6.8947749 |
| Range | 12.479854 | 7.428473 |
| Interquartile range (IQR) | 0.30581267 | 0.13672786 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.2156257 | 0.65770169 |
| Coefficient of variation (CV) | 31.743526 | -7.7183942 |
| Kurtosis | 37.522156 | 88.625698 |
| Mean | 0.038295233 | -0.085212244 |
| Median Absolute Deviation (MAD) | 0.15423777 | 0.070408832 |
| Skewness | 5.4677318 | 8.9725702 |
| Sum | 10.454599 | -23.262943 |
| Variance | 1.4777459 | 0.43257152 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.195653098 | 27 | 9.9% |
| -0.452976962 | 1 | 0.4% |
| -0.33338276 | 1 | 0.4% |
| -0.276494988 | 1 | 0.4% |
| -0.569498186 | 1 | 0.4% |
| -0.045137725 | 1 | 0.4% |
| 0.068804016 | 1 | 0.4% |
| 0.152807411 | 1 | 0.4% |
| -0.831734306 | 1 | 0.4% |
| 0.000657129 | 1 | 0.4% |
| Other values (237) | 237 |
| Value | Count | Frequency (%) |
| -0.156084046 | 12 | 4.4% |
| -0.232401633 | 1 | 0.4% |
| -0.219253209 | 1 | 0.4% |
| -0.163106168 | 1 | 0.4% |
| -0.057495542 | 1 | 0.4% |
| -0.279275742 | 1 | 0.4% |
| -0.234373314 | 1 | 0.4% |
| -0.043063066 | 1 | 0.4% |
| -0.180093007 | 1 | 0.4% |
| -0.195392459 | 1 | 0.4% |
| Other values (252) | 252 |
| Value | Count | Frequency (%) |
| -0.831734306 | 1 | |
| -0.775133993 | 1 | |
| -0.765808591 | 1 | |
| -0.755585346 | 1 | |
| -0.70144086 | 1 | |
| -0.685741558 | 1 | |
| -0.677046448 | 1 | |
| -0.670150095 | 1 | |
| -0.643550644 | 1 | |
| -0.635892508 | 1 |
| Value | Count | Frequency (%) |
| -0.533698055 | 1 | |
| -0.512389498 | 1 | |
| -0.488962984 | 1 | |
| -0.410408132 | 1 | |
| -0.388503769 | 1 | |
| -0.383038737 | 1 | |
| -0.382294734 | 1 | |
| -0.378967224 | 1 | |
| -0.378708847 | 1 | |
| -0.372453426 | 1 |
| Value | Count | Frequency (%) |
| -0.533698055 | 1 | |
| -0.512389498 | 1 | |
| -0.488962984 | 1 | |
| -0.410408132 | 1 | |
| -0.388503769 | 1 | |
| -0.383038737 | 1 | |
| -0.382294734 | 1 | |
| -0.378967224 | 1 | |
| -0.378708847 | 1 | |
| -0.372453426 | 1 |
| Value | Count | Frequency (%) |
| -0.831734306 | 1 | |
| -0.775133993 | 1 | |
| -0.765808591 | 1 | |
| -0.755585346 | 1 | |
| -0.70144086 | 1 | |
| -0.685741558 | 1 | |
| -0.677046448 | 1 | |
| -0.670150095 | 1 | |
| -0.643550644 | 1 | |
| -0.635892508 | 1 |
feature46
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.04958603 | 0.056974803 |
| Train | Val | |
|---|---|---|
| Minimum | -1.9509957 | -1.4980707 |
| Maximum | 8.7218979 | 7.6092197 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 167 | 176 |
| Negative (%) | 61.2% | 64.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.9509957 | -1.4980707 |
| 5-th percentile | -1.0600615 | -0.85760555 |
| Q1 | -0.52254432 | -0.48512397 |
| median | -0.18340788 | -0.18681685 |
| Q3 | 0.27356448 | 0.31272022 |
| 95-th percentile | 1.0705821 | 1.3060585 |
| Maximum | 8.7218979 | 7.6092197 |
| Range | 10.672894 | 9.1072904 |
| Interquartile range (IQR) | 0.7961088 | 0.79784419 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.93546145 | 1.0850367 |
| Coefficient of variation (CV) | -18.865424 | 19.04415 |
| Kurtosis | 36.360038 | 20.091453 |
| Mean | -0.04958603 | 0.056974803 |
| Median Absolute Deviation (MAD) | 0.38386305 | 0.36314182 |
| Skewness | 4.5457584 | 3.8213999 |
| Sum | -13.536986 | 15.554121 |
| Variance | 0.87508812 | 1.1773047 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.105377716 | 1 | 0.4% |
| 0.093456388 | 1 | 0.4% |
| -0.778483549 | 1 | 0.4% |
| 0.588419937 | 1 | 0.4% |
| 0.299369069 | 1 | 0.4% |
| 0.045625101 | 1 | 0.4% |
| -0.321380197 | 1 | 0.4% |
| -0.322181411 | 1 | 0.4% |
| -0.058382589 | 1 | 0.4% |
| -0.834267236 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.196577266 | 1 | 0.4% |
| 0.180820392 | 1 | 0.4% |
| -0.273801531 | 1 | 0.4% |
| 0.98430316 | 1 | 0.4% |
| -0.134909996 | 1 | 0.4% |
| 0.720359601 | 1 | 0.4% |
| 0.497958428 | 1 | 0.4% |
| 0.243444754 | 1 | 0.4% |
| -0.25638509 | 1 | 0.4% |
| -0.59493551 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.950995712 | 1 | |
| -1.480915398 | 1 | |
| -1.407722967 | 1 | |
| -1.28446105 | 1 | |
| -1.277345243 | 1 | |
| -1.241964885 | 1 | |
| -1.234684873 | 1 | |
| -1.230787769 | 1 | |
| -1.21017593 | 1 | |
| -1.136941833 | 1 |
| Value | Count | Frequency (%) |
| -1.498070702 | 1 | |
| -1.239976223 | 1 | |
| -1.228944845 | 1 | |
| -1.18147299 | 1 | |
| -1.086518804 | 1 | |
| -1.051648384 | 1 | |
| -1.049877764 | 1 | |
| -1.022360031 | 1 | |
| -1.014370506 | 1 | |
| -0.944852702 | 1 |
| Value | Count | Frequency (%) |
| -1.498070702 | 1 | |
| -1.239976223 | 1 | |
| -1.228944845 | 1 | |
| -1.18147299 | 1 | |
| -1.086518804 | 1 | |
| -1.051648384 | 1 | |
| -1.049877764 | 1 | |
| -1.022360031 | 1 | |
| -1.014370506 | 1 | |
| -0.944852702 | 1 |
| Value | Count | Frequency (%) |
| -1.950995712 | 1 | |
| -1.480915398 | 1 | |
| -1.407722967 | 1 | |
| -1.28446105 | 1 | |
| -1.277345243 | 1 | |
| -1.241964885 | 1 | |
| -1.234684873 | 1 | |
| -1.230787769 | 1 | |
| -1.21017593 | 1 | |
| -1.136941833 | 1 |
feature47
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 240 | 257 |
| Distinct (%) | 87.9% | 94.1% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.0039457226 | 0.07168058 |
| Train | Val | |
|---|---|---|
| Minimum | -0.91262256 | -1.5529344 |
| Maximum | 7.2489315 | 11.799955 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 171 | 155 |
| Negative (%) | 62.6% | 56.8% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.91262256 | -1.5529344 |
| 5-th percentile | -0.78129227 | -0.90688864 |
| Q1 | -0.46641658 | -0.54552844 |
| median | -0.089606353 | -0.079232686 |
| Q3 | 0.28293133 | 0.41409433 |
| 95-th percentile | 0.67332232 | 0.7364145 |
| Maximum | 7.2489315 | 11.799955 |
| Range | 8.1615541 | 13.35289 |
| Interquartile range (IQR) | 0.74934791 | 0.95962276 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.8372234 | 1.3538489 |
| Coefficient of variation (CV) | -212.18506 | 18.887248 |
| Kurtosis | 36.033534 | 47.684346 |
| Mean | -0.0039457226 | 0.07168058 |
| Median Absolute Deviation (MAD) | 0.37681023 | 0.49254229 |
| Skewness | 5.0669775 | 6.3688821 |
| Sum | -1.0771823 | 19.568798 |
| Variance | 0.70094301 | 1.8329069 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.089606353 | 34 | 12.5% |
| 0.214481171 | 1 | 0.4% |
| -0.080052416 | 1 | 0.4% |
| -0.037373166 | 1 | 0.4% |
| -0.039890635 | 1 | 0.4% |
| 0.693544161 | 1 | 0.4% |
| -0.531336742 | 1 | 0.4% |
| 0.356226594 | 1 | 0.4% |
| -0.361754587 | 1 | 0.4% |
| 0.506878397 | 1 | 0.4% |
| Other values (230) | 230 |
| Value | Count | Frequency (%) |
| -0.079232686 | 17 | 6.2% |
| 0.456309497 | 1 | 0.4% |
| -0.294172815 | 1 | 0.4% |
| 0.717198224 | 1 | 0.4% |
| -0.125159495 | 1 | 0.4% |
| -0.984619949 | 1 | 0.4% |
| -0.908440735 | 1 | 0.4% |
| -0.906624593 | 1 | 0.4% |
| 0.378233552 | 1 | 0.4% |
| 0.641974868 | 1 | 0.4% |
| Other values (247) | 247 |
| Value | Count | Frequency (%) |
| -0.912622559 | 1 | |
| -0.906058173 | 1 | |
| -0.884664865 | 1 | |
| -0.876250196 | 1 | |
| -0.868232557 | 1 | |
| -0.855377308 | 1 | |
| -0.852631072 | 1 | |
| -0.850543642 | 1 | |
| -0.822819022 | 1 | |
| -0.81217157 | 1 |
| Value | Count | Frequency (%) |
| -1.552934377 | 1 | |
| -1.021214404 | 1 | |
| -1.021173563 | 1 | |
| -0.990917616 | 1 | |
| -0.984619949 | 1 | |
| -0.984398118 | 1 | |
| -0.978613423 | 1 | |
| -0.975801823 | 1 | |
| -0.962667742 | 1 | |
| -0.957121221 | 1 |
| Value | Count | Frequency (%) |
| -1.552934377 | 1 | |
| -1.021214404 | 1 | |
| -1.021173563 | 1 | |
| -0.990917616 | 1 | |
| -0.984619949 | 1 | |
| -0.984398118 | 1 | |
| -0.978613423 | 1 | |
| -0.975801823 | 1 | |
| -0.962667742 | 1 | |
| -0.957121221 | 1 |
| Value | Count | Frequency (%) |
| -0.912622559 | 1 | |
| -0.906058173 | 1 | |
| -0.884664865 | 1 | |
| -0.876250196 | 1 | |
| -0.868232557 | 1 | |
| -0.855377308 | 1 | |
| -0.852631072 | 1 | |
| -0.850543642 | 1 | |
| -0.822819022 | 1 | |
| -0.81217157 | 1 |
feature48
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 237 | 257 |
| Distinct (%) | 86.8% | 94.1% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.013906284 | -0.036198713 |
| Train | Val | |
|---|---|---|
| Minimum | -1.6543787 | -2.3705942 |
| Maximum | 6.4970015 | 7.0869422 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 164 | 164 |
| Negative (%) | 60.1% | 60.1% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.6543787 | -2.3705942 |
| 5-th percentile | -0.95755922 | -1.2612318 |
| Q1 | -0.40458936 | -0.48559702 |
| median | -0.11024439 | -0.065341716 |
| Q3 | 0.33394726 | 0.32366744 |
| 95-th percentile | 1.0743905 | 1.1450759 |
| Maximum | 6.4970015 | 7.0869422 |
| Range | 8.1513803 | 9.4575364 |
| Interquartile range (IQR) | 0.73853662 | 0.80926446 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.85660318 | 0.93205866 |
| Coefficient of variation (CV) | 61.598279 | -25.748392 |
| Kurtosis | 18.250013 | 16.068498 |
| Mean | 0.013906284 | -0.036198713 |
| Median Absolute Deviation (MAD) | 0.3934069 | 0.41042569 |
| Skewness | 3.1210782 | 2.6520155 |
| Sum | 3.7964156 | -9.8822487 |
| Variance | 0.733769 | 0.86873334 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.110244386 | 37 | 13.6% |
| 0.593547456 | 1 | 0.4% |
| -0.29816435 | 1 | 0.4% |
| 0.048977544 | 1 | 0.4% |
| -0.595623398 | 1 | 0.4% |
| 0.992426209 | 1 | 0.4% |
| -0.092089589 | 1 | 0.4% |
| -0.560914854 | 1 | 0.4% |
| 0.363035314 | 1 | 0.4% |
| -0.567494469 | 1 | 0.4% |
| Other values (227) | 227 |
| Value | Count | Frequency (%) |
| -0.065341716 | 17 | 6.2% |
| -0.277282457 | 1 | 0.4% |
| -0.675504561 | 1 | 0.4% |
| 0.196888861 | 1 | 0.4% |
| -1.774283287 | 1 | 0.4% |
| 0.015099382 | 1 | 0.4% |
| 0.908251131 | 1 | 0.4% |
| 0.344098707 | 1 | 0.4% |
| -0.662160692 | 1 | 0.4% |
| 1.00380097 | 1 | 0.4% |
| Other values (247) | 247 |
| Value | Count | Frequency (%) |
| -1.654378727 | 1 | |
| -1.384153138 | 1 | |
| -1.353631607 | 1 | |
| -1.288016339 | 1 | |
| -1.280500517 | 1 | |
| -1.274491769 | 1 | |
| -1.205022737 | 1 | |
| -1.185892924 | 1 | |
| -1.183256741 | 1 | |
| -1.100126569 | 1 |
| Value | Count | Frequency (%) |
| -2.370594197 | 1 | |
| -1.8167225 | 1 | |
| -1.774283287 | 1 | |
| -1.616054465 | 1 | |
| -1.61574779 | 1 | |
| -1.479731044 | 1 | |
| -1.427488106 | 1 | |
| -1.412694625 | 1 | |
| -1.392823561 | 1 | |
| -1.383815886 | 1 |
| Value | Count | Frequency (%) |
| -2.370594197 | 1 | |
| -1.8167225 | 1 | |
| -1.774283287 | 1 | |
| -1.616054465 | 1 | |
| -1.61574779 | 1 | |
| -1.479731044 | 1 | |
| -1.427488106 | 1 | |
| -1.412694625 | 1 | |
| -1.392823561 | 1 | |
| -1.383815886 | 1 |
| Value | Count | Frequency (%) |
| -1.654378727 | 1 | |
| -1.384153138 | 1 | |
| -1.353631607 | 1 | |
| -1.288016339 | 1 | |
| -1.280500517 | 1 | |
| -1.274491769 | 1 | |
| -1.205022737 | 1 | |
| -1.185892924 | 1 | |
| -1.183256741 | 1 | |
| -1.100126569 | 1 |
feature49
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 248 | 258 |
| Distinct (%) | 90.8% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.042892292 | 0.0015113641 |
| Train | Val | |
|---|---|---|
| Minimum | -1.6152256 | -2.0698173 |
| Maximum | 4.5209913 | 6.183558 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 159 | 155 |
| Negative (%) | 58.2% | 56.8% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.6152256 | -2.0698173 |
| 5-th percentile | -1.1760173 | -1.1440145 |
| Q1 | -0.41605684 | -0.40306307 |
| median | -0.11741545 | -0.10055353 |
| Q3 | 0.24769491 | 0.39732414 |
| 95-th percentile | 0.9541492 | 1.0339947 |
| Maximum | 4.5209913 | 6.183558 |
| Range | 6.1362169 | 8.2533753 |
| Interquartile range (IQR) | 0.66375174 | 0.8003872 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.76707602 | 0.81201524 |
| Coefficient of variation (CV) | -17.883773 | 537.27308 |
| Kurtosis | 7.8808026 | 14.139445 |
| Mean | -0.042892292 | 0.0015113641 |
| Median Absolute Deviation (MAD) | 0.35410924 | 0.40765136 |
| Skewness | 1.7857049 | 2.1629009 |
| Sum | -11.709596 | 0.4126024 |
| Variance | 0.58840562 | 0.65936874 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.117415448 | 26 | 9.5% |
| 0.75758181 | 1 | 0.4% |
| 0.01947444 | 1 | 0.4% |
| -0.893435237 | 1 | 0.4% |
| 0.349143835 | 1 | 0.4% |
| -0.120562987 | 1 | 0.4% |
| 0.910120364 | 1 | 0.4% |
| -0.14698019 | 1 | 0.4% |
| -0.244860803 | 1 | 0.4% |
| -1.329401942 | 1 | 0.4% |
| Other values (238) | 238 |
| Value | Count | Frequency (%) |
| -0.100553534 | 16 | 5.9% |
| -0.48356186 | 1 | 0.4% |
| 0.295847817 | 1 | 0.4% |
| -1.23585651 | 1 | 0.4% |
| -0.75481445 | 1 | 0.4% |
| 0.445254747 | 1 | 0.4% |
| -0.457678754 | 1 | 0.4% |
| -0.052094225 | 1 | 0.4% |
| 0.556168471 | 1 | 0.4% |
| 0.737966096 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -1.615225624 | 1 | |
| -1.466698222 | 1 | |
| -1.439067261 | 1 | |
| -1.379210687 | 1 | |
| -1.329401942 | 1 | |
| -1.325348578 | 1 | |
| -1.296689995 | 1 | |
| -1.287844254 | 1 | |
| -1.286489599 | 1 | |
| -1.282437525 | 1 |
| Value | Count | Frequency (%) |
| -2.069817288 | 1 | |
| -1.839833903 | 1 | |
| -1.641725716 | 1 | |
| -1.618743951 | 1 | |
| -1.494775899 | 1 | |
| -1.460669262 | 1 | |
| -1.430269635 | 1 | |
| -1.341344079 | 1 | |
| -1.318751997 | 1 | |
| -1.272001901 | 1 |
| Value | Count | Frequency (%) |
| -2.069817288 | 1 | |
| -1.839833903 | 1 | |
| -1.641725716 | 1 | |
| -1.618743951 | 1 | |
| -1.494775899 | 1 | |
| -1.460669262 | 1 | |
| -1.430269635 | 1 | |
| -1.341344079 | 1 | |
| -1.318751997 | 1 | |
| -1.272001901 | 1 |
| Value | Count | Frequency (%) |
| -1.615225624 | 1 | |
| -1.466698222 | 1 | |
| -1.439067261 | 1 | |
| -1.379210687 | 1 | |
| -1.329401942 | 1 | |
| -1.325348578 | 1 | |
| -1.296689995 | 1 | |
| -1.287844254 | 1 | |
| -1.286489599 | 1 | |
| -1.282437525 | 1 |
feature50
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 237 | 258 |
| Distinct (%) | 86.8% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.0125145 | -0.00013161293 |
| Train | Val | |
|---|---|---|
| Minimum | -0.91594986 | -2.3087645 |
| Maximum | 7.3045047 | 10.144822 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 198 | 162 |
| Negative (%) | 72.5% | 59.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.91594986 | -2.3087645 |
| 5-th percentile | -0.68803095 | -0.88843916 |
| Q1 | -0.527878 | -0.57362776 |
| median | -0.28885802 | -0.077166468 |
| Q3 | 0.072825667 | 0.28067515 |
| 95-th percentile | 1.741658 | 0.68292219 |
| Maximum | 7.3045047 | 10.144822 |
| Range | 8.2204546 | 12.453587 |
| Interquartile range (IQR) | 0.60070366 | 0.85430291 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.92102178 | 1.1881239 |
| Coefficient of variation (CV) | -73.596371 | -9027.4099 |
| Kurtosis | 17.951808 | 45.175278 |
| Mean | -0.0125145 | -0.00013161293 |
| Median Absolute Deviation (MAD) | 0.26274653 | 0.4013893 |
| Skewness | 3.440477 | 6.0364149 |
| Sum | -3.4164585 | -0.035930331 |
| Variance | 0.84828112 | 1.4116384 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.288858019 | 37 | 13.6% |
| -0.622345753 | 1 | 0.4% |
| 0.564529363 | 1 | 0.4% |
| 1.565757607 | 1 | 0.4% |
| -0.231964188 | 1 | 0.4% |
| -0.320252408 | 1 | 0.4% |
| -0.615255245 | 1 | 0.4% |
| -0.541976117 | 1 | 0.4% |
| -0.708527066 | 1 | 0.4% |
| -0.715512441 | 1 | 0.4% |
| Other values (227) | 227 |
| Value | Count | Frequency (%) |
| -0.077166468 | 16 | 5.9% |
| 0.082091827 | 1 | 0.4% |
| 0.4553271 | 1 | 0.4% |
| -0.19376944 | 1 | 0.4% |
| 0.618025059 | 1 | 0.4% |
| 0.378329233 | 1 | 0.4% |
| -0.767222842 | 1 | 0.4% |
| -0.004085545 | 1 | 0.4% |
| -0.646043937 | 1 | 0.4% |
| 0.029214536 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -0.91594986 | 1 | |
| -0.730083158 | 1 | |
| -0.729901979 | 1 | |
| -0.729860145 | 1 | |
| -0.727322328 | 1 | |
| -0.722633008 | 1 | |
| -0.715512441 | 1 | |
| -0.714329597 | 1 | |
| -0.708527066 | 1 | |
| -0.694319734 | 1 |
| Value | Count | Frequency (%) |
| -2.308764482 | 1 | |
| -0.983698602 | 1 | |
| -0.982676124 | 1 | |
| -0.979789466 | 1 | |
| -0.970736418 | 1 | |
| -0.969323938 | 1 | |
| -0.957499422 | 1 | |
| -0.955327284 | 1 | |
| -0.944293714 | 1 | |
| -0.914804133 | 1 |
| Value | Count | Frequency (%) |
| -2.308764482 | 1 | |
| -0.983698602 | 1 | |
| -0.982676124 | 1 | |
| -0.979789466 | 1 | |
| -0.970736418 | 1 | |
| -0.969323938 | 1 | |
| -0.957499422 | 1 | |
| -0.955327284 | 1 | |
| -0.944293714 | 1 | |
| -0.914804133 | 1 |
| Value | Count | Frequency (%) |
| -0.91594986 | 1 | |
| -0.730083158 | 1 | |
| -0.729901979 | 1 | |
| -0.729860145 | 1 | |
| -0.727322328 | 1 | |
| -0.722633008 | 1 | |
| -0.715512441 | 1 | |
| -0.714329597 | 1 | |
| -0.708527066 | 1 | |
| -0.694319734 | 1 |
feature51
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 248 | 263 |
| Distinct (%) | 90.8% | 96.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.01984163 | 0.020100209 |
| Train | Val | |
|---|---|---|
| Minimum | -1.9099428 | -1.6482478 |
| Maximum | 4.7262228 | 7.8889194 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 156 | 152 |
| Negative (%) | 57.1% | 55.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.9099428 | -1.6482478 |
| 5-th percentile | -0.96489084 | -1.1038855 |
| Q1 | -0.41024622 | -0.56119157 |
| median | -0.087522533 | -0.069668569 |
| Q3 | 0.34184727 | 0.39729577 |
| 95-th percentile | 0.90531901 | 0.99535102 |
| Maximum | 4.7262228 | 7.8889194 |
| Range | 6.6361656 | 9.5371673 |
| Interquartile range (IQR) | 0.75209349 | 0.95848734 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.70955838 | 1.0924392 |
| Coefficient of variation (CV) | -35.761093 | 54.349643 |
| Kurtosis | 12.597179 | 25.533345 |
| Mean | -0.01984163 | 0.020100209 |
| Median Absolute Deviation (MAD) | 0.36480738 | 0.4800089 |
| Skewness | 2.0691654 | 4.1162333 |
| Sum | -5.4167651 | 5.487357 |
| Variance | 0.50347309 | 1.1934233 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.087522533 | 26 | 9.5% |
| -0.100776724 | 1 | 0.4% |
| -1.762974881 | 1 | 0.4% |
| -0.135993844 | 1 | 0.4% |
| 0.305481765 | 1 | 0.4% |
| 0.132378459 | 1 | 0.4% |
| 0.798833762 | 1 | 0.4% |
| -0.374527369 | 1 | 0.4% |
| 0.015159129 | 1 | 0.4% |
| 0.486604996 | 1 | 0.4% |
| Other values (238) | 238 |
| Value | Count | Frequency (%) |
| -0.069668569 | 11 | 4.0% |
| -0.255211584 | 1 | 0.4% |
| -0.125945051 | 1 | 0.4% |
| -0.086757849 | 1 | 0.4% |
| -0.700238046 | 1 | 0.4% |
| -0.362340307 | 1 | 0.4% |
| 0.338191161 | 1 | 0.4% |
| -0.386450849 | 1 | 0.4% |
| 0.122459582 | 1 | 0.4% |
| 0.495634816 | 1 | 0.4% |
| Other values (253) | 253 |
| Value | Count | Frequency (%) |
| -1.909942774 | 1 | |
| -1.762974881 | 1 | |
| -1.491649541 | 1 | |
| -1.457733873 | 1 | |
| -1.367292093 | 1 | |
| -1.299460758 | 1 | |
| -1.144467288 | 1 | |
| -1.103214531 | 1 | |
| -1.074236985 | 1 | |
| -1.055434139 | 1 |
| Value | Count | Frequency (%) |
| -1.648247832 | 1 | |
| -1.612468474 | 1 | |
| -1.466948115 | 1 | |
| -1.444094652 | 1 | |
| -1.419919758 | 1 | |
| -1.374503487 | 1 | |
| -1.369742101 | 1 | |
| -1.298999714 | 1 | |
| -1.239414239 | 1 | |
| -1.214754172 | 1 |
| Value | Count | Frequency (%) |
| -1.648247832 | 1 | |
| -1.612468474 | 1 | |
| -1.466948115 | 1 | |
| -1.444094652 | 1 | |
| -1.419919758 | 1 | |
| -1.374503487 | 1 | |
| -1.369742101 | 1 | |
| -1.298999714 | 1 | |
| -1.239414239 | 1 | |
| -1.214754172 | 1 |
| Value | Count | Frequency (%) |
| -1.909942774 | 1 | |
| -1.762974881 | 1 | |
| -1.491649541 | 1 | |
| -1.457733873 | 1 | |
| -1.367292093 | 1 | |
| -1.299460758 | 1 | |
| -1.144467288 | 1 | |
| -1.103214531 | 1 | |
| -1.074236985 | 1 | |
| -1.055434139 | 1 |
feature52
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 247 | 258 |
| Distinct (%) | 90.5% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.015492164 | -0.014320055 |
| Train | Val | |
|---|---|---|
| Minimum | -2.2846006 | -2.1741551 |
| Maximum | 9.0462833 | 10.551133 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 157 | 152 |
| Negative (%) | 57.5% | 55.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.2846006 | -2.1741551 |
| 5-th percentile | -0.80672597 | -0.94222968 |
| Q1 | -0.49165564 | -0.57702188 |
| median | -0.089988893 | -0.070322409 |
| Q3 | 0.29842838 | 0.4336473 |
| 95-th percentile | 0.64714463 | 0.7965323 |
| Maximum | 9.0462833 | 10.551133 |
| Range | 11.330884 | 12.725288 |
| Interquartile range (IQR) | 0.79008401 | 1.0106692 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.89489915 | 0.93246407 |
| Coefficient of variation (CV) | -57.764632 | -65.115956 |
| Kurtosis | 51.81442 | 61.414586 |
| Mean | -0.015492164 | -0.014320055 |
| Median Absolute Deviation (MAD) | 0.39584854 | 0.50669947 |
| Skewness | 5.7938581 | 5.7758404 |
| Sum | -4.2293607 | -3.909375 |
| Variance | 0.80084449 | 0.86948925 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.089988893 | 27 | 9.9% |
| 6.84407271 | 1 | 0.4% |
| -0.419981868 | 1 | 0.4% |
| 0.006722977 | 1 | 0.4% |
| -0.176814964 | 1 | 0.4% |
| -0.120946172 | 1 | 0.4% |
| 0.321704366 | 1 | 0.4% |
| -0.233326847 | 1 | 0.4% |
| 0.10705183 | 1 | 0.4% |
| -0.660143314 | 1 | 0.4% |
| Other values (237) | 237 |
| Value | Count | Frequency (%) |
| -0.070322409 | 16 | 5.9% |
| -0.413453101 | 1 | 0.4% |
| 0.410547544 | 1 | 0.4% |
| 0.543121185 | 1 | 0.4% |
| -0.478775051 | 1 | 0.4% |
| 0.235877494 | 1 | 0.4% |
| -0.37039328 | 1 | 0.4% |
| -0.118886093 | 1 | 0.4% |
| -0.752638082 | 1 | 0.4% |
| 0.269347004 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -2.284600625 | 1 | |
| -2.11312383 | 1 | |
| -0.928083519 | 1 | |
| -0.921932834 | 1 | |
| -0.90160556 | 1 | |
| -0.896243205 | 1 | |
| -0.895248813 | 1 | |
| -0.885825603 | 1 | |
| -0.869210076 | 1 | |
| -0.840605101 | 1 |
| Value | Count | Frequency (%) |
| -2.17415515 | 1 | |
| -1.38134517 | 1 | |
| -1.013948161 | 1 | |
| -1.013703384 | 1 | |
| -1.008414446 | 1 | |
| -1.008078769 | 1 | |
| -1.006434608 | 1 | |
| -0.996040132 | 1 | |
| -0.97128516 | 1 | |
| -0.961493797 | 1 |
| Value | Count | Frequency (%) |
| -2.17415515 | 1 | |
| -1.38134517 | 1 | |
| -1.013948161 | 1 | |
| -1.013703384 | 1 | |
| -1.008414446 | 1 | |
| -1.008078769 | 1 | |
| -1.006434608 | 1 | |
| -0.996040132 | 1 | |
| -0.97128516 | 1 | |
| -0.961493797 | 1 |
| Value | Count | Frequency (%) |
| -2.284600625 | 1 | |
| -2.11312383 | 1 | |
| -0.928083519 | 1 | |
| -0.921932834 | 1 | |
| -0.90160556 | 1 | |
| -0.896243205 | 1 | |
| -0.895248813 | 1 | |
| -0.885825603 | 1 | |
| -0.869210076 | 1 | |
| -0.840605101 | 1 |
feature53
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 238 | 255 |
| Distinct (%) | 87.2% | 93.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.02918955 | 0.1012806 |
| Train | Val | |
|---|---|---|
| Minimum | -0.73528979 | -0.79860828 |
| Maximum | 7.5983279 | 9.1650873 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 190 | 180 |
| Negative (%) | 69.6% | 65.9% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.73528979 | -0.79860828 |
| 5-th percentile | -0.70534046 | -0.76235431 |
| Q1 | -0.52965215 | -0.53186213 |
| median | -0.28704332 | -0.23955454 |
| Q3 | 0.12303321 | 0.18040729 |
| 95-th percentile | 1.5424013 | 2.0217485 |
| Maximum | 7.5983279 | 9.1650873 |
| Range | 8.3336177 | 9.9636956 |
| Interquartile range (IQR) | 0.65268536 | 0.71226942 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.92319635 | 1.2388197 |
| Coefficient of variation (CV) | -31.627632 | 12.231559 |
| Kurtosis | 26.435591 | 24.369717 |
| Mean | -0.02918955 | 0.1012806 |
| Median Absolute Deviation (MAD) | 0.29165016 | 0.34607709 |
| Skewness | 4.260051 | 4.2894784 |
| Sum | -7.9687472 | 27.649604 |
| Variance | 0.85229151 | 1.5346741 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.287043317 | 36 | 13.2% |
| -0.03300221 | 1 | 0.4% |
| -0.56451129 | 1 | 0.4% |
| -0.240212176 | 1 | 0.4% |
| -0.663249389 | 1 | 0.4% |
| -0.318431528 | 1 | 0.4% |
| -0.657436604 | 1 | 0.4% |
| -0.397635804 | 1 | 0.4% |
| -0.373647723 | 1 | 0.4% |
| -0.268348411 | 1 | 0.4% |
| Other values (228) | 228 |
| Value | Count | Frequency (%) |
| -0.272501325 | 19 | 7.0% |
| -0.18065327 | 1 | 0.4% |
| -0.542594848 | 1 | 0.4% |
| -0.237490366 | 1 | 0.4% |
| -0.782776835 | 1 | 0.4% |
| -0.638828594 | 1 | 0.4% |
| -0.576233022 | 1 | 0.4% |
| -0.161331538 | 1 | 0.4% |
| 1.861630643 | 1 | 0.4% |
| 0.729176695 | 1 | 0.4% |
| Other values (245) | 245 |
| Value | Count | Frequency (%) |
| -0.73528979 | 1 | |
| -0.733748061 | 1 | |
| -0.73010415 | 1 | |
| -0.728246929 | 1 | |
| -0.725481245 | 1 | |
| -0.722159017 | 1 | |
| -0.720816774 | 1 | |
| -0.719809108 | 1 | |
| -0.718015001 | 1 | |
| -0.717705065 | 1 |
| Value | Count | Frequency (%) |
| -0.798608282 | 1 | |
| -0.798553416 | 1 | |
| -0.792072519 | 1 | |
| -0.790641348 | 1 | |
| -0.785871969 | 1 | |
| -0.782776835 | 1 | |
| -0.778421247 | 1 | |
| -0.777816039 | 1 | |
| -0.775101234 | 1 | |
| -0.774413249 | 1 |
| Value | Count | Frequency (%) |
| -0.798608282 | 1 | |
| -0.798553416 | 1 | |
| -0.792072519 | 1 | |
| -0.790641348 | 1 | |
| -0.785871969 | 1 | |
| -0.782776835 | 1 | |
| -0.778421247 | 1 | |
| -0.777816039 | 1 | |
| -0.775101234 | 1 | |
| -0.774413249 | 1 |
| Value | Count | Frequency (%) |
| -0.73528979 | 1 | |
| -0.733748061 | 1 | |
| -0.73010415 | 1 | |
| -0.728246929 | 1 | |
| -0.725481245 | 1 | |
| -0.722159017 | 1 | |
| -0.720816774 | 1 | |
| -0.719809108 | 1 | |
| -0.718015001 | 1 | |
| -0.717705065 | 1 |
feature54
Categorical
| Train | Val | |
|---|---|---|
| Distinct | 4 | 6 |
| Distinct (%) | 1.5% | 2.2% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
| 0.049310119 | |
|---|---|
| -2.286640509 | 1 |
| 2.003840907 | 1 |
| 1.529856556 | 1 |
| 0.043692341 | |
|---|---|
| -1.682736912 | 1 |
| 4.072807914 | 1 |
| 6.595678092 | 1 |
| -1.364896745 | 1 |
Length
| Train | Val | |
|---|---|---|
| Max length | 12 | 12 |
| Median length | 11 | 11 |
| Mean length | 11.003663 | 11.007326 |
| Min length | 11 | 11 |
Characters and Unicode
| Train | Val | |
|---|---|---|
| Total characters | 3004 | 3005 |
| Distinct characters | 12 | 12 |
| Distinct categories | 3 | 3 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Train | Val | |
|---|---|---|
| Unique | 3 | 5 ? |
| Unique (%) | 1.1% | 1.8% |
Sample
| Train | Val | |
|---|---|---|
| 1st row | 0.049310119 | 0.043692341 |
| 2nd row | 0.049310119 | 0.043692341 |
| 3rd row | 0.049310119 | 0.043692341 |
| 4th row | 0.049310119 | 0.043692341 |
| 5th row | 0.049310119 | 0.043692341 |
Common Values
| Value | Count | Frequency (%) |
| 0.049310119 | 270 | |
| -2.286640509 | 1 | 0.4% |
| 2.003840907 | 1 | 0.4% |
| 1.529856556 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.043692341 | 268 | |
| -1.682736912 | 1 | 0.4% |
| 4.072807914 | 1 | 0.4% |
| 6.595678092 | 1 | 0.4% |
| -1.364896745 | 1 | 0.4% |
| -12.9099886 | 1 | 0.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
Train
Val
| Value | Count | Frequency (%) |
| 0.049310119 | 270 | |
| 2.286640509 | 1 | 0.4% |
| 2.003840907 | 1 | 0.4% |
| 1.529856556 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.043692341 | 268 | |
| 1.682736912 | 1 | 0.4% |
| 4.072807914 | 1 | 0.4% |
| 6.595678092 | 1 | 0.4% |
| 1.364896745 | 1 | 0.4% |
| 12.9099886 | 1 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 816 | |
| 1 | 811 | |
| 9 | 543 | |
| . | 273 | 9.1% |
| 4 | 272 | 9.1% |
| 3 | 271 | 9.0% |
| 5 | 5 | 0.2% |
| 2 | 4 | 0.1% |
| 6 | 4 | 0.1% |
| 8 | 3 | 0.1% |
| Other values (2) | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 540 | |
| 4 | 540 | |
| 3 | 538 | |
| 9 | 276 | |
| 6 | 275 | |
| . | 273 | |
| 2 | 273 | |
| 1 | 273 | |
| 8 | 6 | 0.2% |
| 7 | 5 | 0.2% |
| Other values (2) | 6 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2730 | |
| Other Punctuation | 273 | 9.1% |
| Dash Punctuation | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| Decimal Number | 2729 | |
| Other Punctuation | 273 | 9.1% |
| Dash Punctuation | 3 | 0.1% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 816 | |
| 1 | 811 | |
| 9 | 543 | |
| 4 | 272 | 10.0% |
| 3 | 271 | 9.9% |
| 5 | 5 | 0.2% |
| 2 | 4 | 0.1% |
| 6 | 4 | 0.1% |
| 8 | 3 | 0.1% |
| 7 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 540 | |
| 4 | 540 | |
| 3 | 538 | |
| 9 | 276 | |
| 6 | 275 | |
| 2 | 273 | |
| 1 | 273 | |
| 8 | 6 | 0.2% |
| 7 | 5 | 0.2% |
| 5 | 3 | 0.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 273 |
| Value | Count | Frequency (%) |
| . | 273 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1 |
| Value | Count | Frequency (%) |
| - | 3 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3004 |
| Value | Count | Frequency (%) |
| Common | 3005 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 816 | |
| 1 | 811 | |
| 9 | 543 | |
| . | 273 | 9.1% |
| 4 | 272 | 9.1% |
| 3 | 271 | 9.0% |
| 5 | 5 | 0.2% |
| 2 | 4 | 0.1% |
| 6 | 4 | 0.1% |
| 8 | 3 | 0.1% |
| Other values (2) | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 540 | |
| 4 | 540 | |
| 3 | 538 | |
| 9 | 276 | |
| 6 | 275 | |
| . | 273 | |
| 2 | 273 | |
| 1 | 273 | |
| 8 | 6 | 0.2% |
| 7 | 5 | 0.2% |
| Other values (2) | 6 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3004 |
| Value | Count | Frequency (%) |
| ASCII | 3005 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 816 | |
| 1 | 811 | |
| 9 | 543 | |
| . | 273 | 9.1% |
| 4 | 272 | 9.1% |
| 3 | 271 | 9.0% |
| 5 | 5 | 0.2% |
| 2 | 4 | 0.1% |
| 6 | 4 | 0.1% |
| 8 | 3 | 0.1% |
| Other values (2) | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 540 | |
| 4 | 540 | |
| 3 | 538 | |
| 9 | 276 | |
| 6 | 275 | |
| . | 273 | |
| 2 | 273 | |
| 1 | 273 | |
| 8 | 6 | 0.2% |
| 7 | 5 | 0.2% |
| Other values (2) | 6 | 0.2% |
feature55
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 241 | 258 |
| Distinct (%) | 88.3% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.079884904 | 0.037134103 |
| Train | Val | |
|---|---|---|
| Minimum | -1.8994138 | -1.4474892 |
| Maximum | 5.4333875 | 11.167872 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 171 | 154 |
| Negative (%) | 62.6% | 56.4% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.8994138 | -1.4474892 |
| 5-th percentile | -0.86170643 | -0.95428945 |
| Q1 | -0.48314416 | -0.52013707 |
| median | -0.092927983 | -0.092213171 |
| Q3 | 0.22053047 | 0.36822145 |
| 95-th percentile | 0.66819985 | 0.86848041 |
| Maximum | 5.4333875 | 11.167872 |
| Range | 7.3328013 | 12.615361 |
| Interquartile range (IQR) | 0.70367463 | 0.88835852 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.6440293 | 1.1391011 |
| Coefficient of variation (CV) | -8.061965 | 30.675337 |
| Kurtosis | 22.467796 | 56.28988 |
| Mean | -0.079884904 | 0.037134103 |
| Median Absolute Deviation (MAD) | 0.34763292 | 0.44810415 |
| Skewness | 3.0133253 | 6.3927256 |
| Sum | -21.808579 | 10.13761 |
| Variance | 0.41477374 | 1.2975514 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.092927983 | 33 | 12.1% |
| -0.087522967 | 1 | 0.4% |
| 2.997424969 | 1 | 0.4% |
| -0.909398906 | 1 | 0.4% |
| -0.056826392 | 1 | 0.4% |
| 0.474276776 | 1 | 0.4% |
| 0.258906919 | 1 | 0.4% |
| -0.943791675 | 1 | 0.4% |
| -0.929235827 | 1 | 0.4% |
| 0.640127567 | 1 | 0.4% |
| Other values (231) | 231 |
| Value | Count | Frequency (%) |
| -0.092213171 | 16 | 5.9% |
| -0.46756714 | 1 | 0.4% |
| -0.586617727 | 1 | 0.4% |
| -0.154808283 | 1 | 0.4% |
| -0.68017125 | 1 | 0.4% |
| -0.393790055 | 1 | 0.4% |
| -0.044387896 | 1 | 0.4% |
| -0.550690518 | 1 | 0.4% |
| -0.520137073 | 1 | 0.4% |
| 0.80861029 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -1.899413841 | 1 | |
| -1.673680973 | 1 | |
| -1.050231809 | 1 | |
| -0.974703853 | 1 | |
| -0.946275172 | 1 | |
| -0.943791675 | 1 | |
| -0.929863521 | 1 | |
| -0.929235827 | 1 | |
| -0.926739322 | 1 | |
| -0.912860211 | 1 |
| Value | Count | Frequency (%) |
| -1.447489242 | 1 | |
| -1.067662177 | 1 | |
| -1.061376355 | 1 | |
| -1.053894037 | 1 | |
| -1.041327262 | 1 | |
| -1.030275847 | 1 | |
| -1.027947926 | 1 | |
| -1.013889057 | 1 | |
| -1.002520574 | 1 | |
| -0.996582521 | 1 |
| Value | Count | Frequency (%) |
| -1.447489242 | 1 | |
| -1.067662177 | 1 | |
| -1.061376355 | 1 | |
| -1.053894037 | 1 | |
| -1.041327262 | 1 | |
| -1.030275847 | 1 | |
| -1.027947926 | 1 | |
| -1.013889057 | 1 | |
| -1.002520574 | 1 | |
| -0.996582521 | 1 |
| Value | Count | Frequency (%) |
| -1.899413841 | 1 | |
| -1.673680973 | 1 | |
| -1.050231809 | 1 | |
| -0.974703853 | 1 | |
| -0.946275172 | 1 | |
| -0.943791675 | 1 | |
| -0.929863521 | 1 | |
| -0.929235827 | 1 | |
| -0.926739322 | 1 | |
| -0.912860211 | 1 |
feature56
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 249 | 258 |
| Distinct (%) | 91.2% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.031283648 | -0.031648232 |
| Train | Val | |
|---|---|---|
| Minimum | -2.3534265 | -1.8484842 |
| Maximum | 12.462841 | 6.8852698 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 170 | 163 |
| Negative (%) | 62.3% | 59.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.3534265 | -1.8484842 |
| 5-th percentile | -1.0142585 | -1.0618449 |
| Q1 | -0.43345616 | -0.54718151 |
| median | -0.10335384 | -0.095077574 |
| Q3 | 0.23733689 | 0.27965452 |
| 95-th percentile | 0.78216404 | 1.0546558 |
| Maximum | 12.462841 | 6.8852698 |
| Range | 14.816268 | 8.733754 |
| Interquartile range (IQR) | 0.67079305 | 0.82683603 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0729049 | 0.91211934 |
| Coefficient of variation (CV) | -34.29603 | -28.820546 |
| Kurtosis | 72.772068 | 20.30588 |
| Mean | -0.031283648 | -0.031648232 |
| Median Absolute Deviation (MAD) | 0.33826364 | 0.41904909 |
| Skewness | 6.9719022 | 3.354997 |
| Sum | -8.5404358 | -8.6399673 |
| Variance | 1.151125 | 0.83196169 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.103353839 | 25 | 9.2% |
| 0.077267313 | 1 | 0.4% |
| -0.373737172 | 1 | 0.4% |
| 0.182914845 | 1 | 0.4% |
| -0.368379771 | 1 | 0.4% |
| -0.401388464 | 1 | 0.4% |
| 0.623802478 | 1 | 0.4% |
| -1.014940076 | 1 | 0.4% |
| -0.398885323 | 1 | 0.4% |
| 0.156246075 | 1 | 0.4% |
| Other values (239) | 239 |
| Value | Count | Frequency (%) |
| -0.095077574 | 16 | 5.9% |
| -0.238547561 | 1 | 0.4% |
| 0.059051718 | 1 | 0.4% |
| -0.027009448 | 1 | 0.4% |
| 0.279654525 | 1 | 0.4% |
| -0.874198684 | 1 | 0.4% |
| -0.669144249 | 1 | 0.4% |
| 0.629177316 | 1 | 0.4% |
| 0.250670486 | 1 | 0.4% |
| -0.206242503 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -2.353426537 | 1 | |
| -2.205777736 | 1 | |
| -1.474615931 | 1 | |
| -1.271274441 | 1 | |
| -1.18843793 | 1 | |
| -1.140423443 | 1 | |
| -1.12387641 | 1 | |
| -1.087664221 | 1 | |
| -1.086275665 | 1 | |
| -1.040257217 | 1 |
| Value | Count | Frequency (%) |
| -1.848484171 | 1 | |
| -1.436258109 | 1 | |
| -1.3174708 | 1 | |
| -1.292516539 | 1 | |
| -1.289449462 | 1 | |
| -1.250113663 | 1 | |
| -1.194246983 | 1 | |
| -1.152507032 | 1 | |
| -1.142479498 | 1 | |
| -1.118075225 | 1 |
| Value | Count | Frequency (%) |
| -1.848484171 | 1 | |
| -1.436258109 | 1 | |
| -1.3174708 | 1 | |
| -1.292516539 | 1 | |
| -1.289449462 | 1 | |
| -1.250113663 | 1 | |
| -1.194246983 | 1 | |
| -1.152507032 | 1 | |
| -1.142479498 | 1 | |
| -1.118075225 | 1 |
| Value | Count | Frequency (%) |
| -2.353426537 | 1 | |
| -2.205777736 | 1 | |
| -1.474615931 | 1 | |
| -1.271274441 | 1 | |
| -1.18843793 | 1 | |
| -1.140423443 | 1 | |
| -1.12387641 | 1 | |
| -1.087664221 | 1 | |
| -1.086275665 | 1 | |
| -1.040257217 | 1 |
feature57
Categorical
| Train | Val | |
|---|---|---|
| Distinct | 1 | 1 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
| 0 |
|---|
| 0 |
|---|
Length
| Train | Val | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Characters and Unicode
| Train | Val | |
|---|---|---|
| Total characters | 273 | 273 |
| Distinct characters | 1 | 1 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Train | Val | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Train | Val | |
|---|---|---|
| 1st row | 0 | 0 |
| 2nd row | 0 | 0 |
| 3rd row | 0 | 0 |
| 4th row | 0 | 0 |
| 5th row | 0 | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Length
Histogram of lengths of the category
Common Values (Plot)
Train
Val
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 273 |
| Value | Count | Frequency (%) |
| Decimal Number | 273 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 273 |
| Value | Count | Frequency (%) |
| Common | 273 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 273 |
| Value | Count | Frequency (%) |
| ASCII | 273 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
feature58
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 241 | 258 |
| Distinct (%) | 88.3% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.075514305 | -0.039098569 |
| Train | Val | |
|---|---|---|
| Minimum | -1.9231092 | -2.5149356 |
| Maximum | 6.3217867 | 7.4129502 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 186 | 158 |
| Negative (%) | 68.1% | 57.9% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.9231092 | -2.5149356 |
| 5-th percentile | -1.0181611 | -1.2383769 |
| Q1 | -0.38485583 | -0.53115959 |
| median | -0.089569707 | -0.06477378 |
| Q3 | 0.16420997 | 0.36909148 |
| 95-th percentile | 0.90659283 | 0.97345793 |
| Maximum | 6.3217867 | 7.4129502 |
| Range | 8.244896 | 9.9278858 |
| Interquartile range (IQR) | 0.54906579 | 0.90025106 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.79314071 | 0.93529953 |
| Coefficient of variation (CV) | -10.503185 | -23.92158 |
| Kurtosis | 25.737229 | 20.761909 |
| Mean | -0.075514305 | -0.039098569 |
| Median Absolute Deviation (MAD) | 0.28487392 | 0.44357573 |
| Skewness | 3.6875784 | 3.0162006 |
| Sum | -20.615405 | -10.673909 |
| Variance | 0.62907219 | 0.87478522 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.089569707 | 33 | 12.1% |
| -1.005342081 | 1 | 0.4% |
| 0.212130967 | 1 | 0.4% |
| -0.32036421 | 1 | 0.4% |
| -0.106867255 | 1 | 0.4% |
| -0.26534084 | 1 | 0.4% |
| -0.049351749 | 1 | 0.4% |
| -0.32362372 | 1 | 0.4% |
| -0.06356818 | 1 | 0.4% |
| -0.532201238 | 1 | 0.4% |
| Other values (231) | 231 |
| Value | Count | Frequency (%) |
| -0.06477378 | 16 | 5.9% |
| -0.760141108 | 1 | 0.4% |
| 0.33226799 | 1 | 0.4% |
| -1.564239616 | 1 | 0.4% |
| -0.44333377 | 1 | 0.4% |
| -0.161905871 | 1 | 0.4% |
| 0.047515272 | 1 | 0.4% |
| 0.270846111 | 1 | 0.4% |
| -0.312570739 | 1 | 0.4% |
| 0.193595762 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -1.923109226 | 1 | |
| -1.773804262 | 1 | |
| -1.545493257 | 1 | |
| -1.527854711 | 1 | |
| -1.254343998 | 1 | |
| -1.249096603 | 1 | |
| -1.248197555 | 1 | |
| -1.236486983 | 1 | |
| -1.1945094 | 1 | |
| -1.17799558 | 1 |
| Value | Count | Frequency (%) |
| -2.514935553 | 1 | |
| -1.661353361 | 1 | |
| -1.660644064 | 1 | |
| -1.612244548 | 1 | |
| -1.564239616 | 1 | |
| -1.556326739 | 1 | |
| -1.525931777 | 1 | |
| -1.465608148 | 1 | |
| -1.438547256 | 1 | |
| -1.435454476 | 1 |
| Value | Count | Frequency (%) |
| -2.514935553 | 1 | |
| -1.661353361 | 1 | |
| -1.660644064 | 1 | |
| -1.612244548 | 1 | |
| -1.564239616 | 1 | |
| -1.556326739 | 1 | |
| -1.525931777 | 1 | |
| -1.465608148 | 1 | |
| -1.438547256 | 1 | |
| -1.435454476 | 1 |
| Value | Count | Frequency (%) |
| -1.923109226 | 1 | |
| -1.773804262 | 1 | |
| -1.545493257 | 1 | |
| -1.527854711 | 1 | |
| -1.254343998 | 1 | |
| -1.249096603 | 1 | |
| -1.248197555 | 1 | |
| -1.236486983 | 1 | |
| -1.1945094 | 1 | |
| -1.17799558 | 1 |
feature59
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.028904783 | 0.018531532 |
| Train | Val | |
|---|---|---|
| Minimum | -2.2799359 | -0.99937798 |
| Maximum | 7.0953136 | 8.1791373 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 168 | 187 |
| Negative (%) | 61.5% | 68.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.2799359 | -0.99937798 |
| 5-th percentile | -0.94231271 | -0.7691137 |
| Q1 | -0.464093 | -0.41813358 |
| median | -0.11209806 | -0.23383549 |
| Q3 | 0.2903363 | 0.063601709 |
| 95-th percentile | 1.3097241 | 1.3483542 |
| Maximum | 7.0953136 | 8.1791373 |
| Range | 9.3752495 | 9.1785153 |
| Interquartile range (IQR) | 0.7544293 | 0.48173529 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.98991267 | 1.0847183 |
| Coefficient of variation (CV) | 34.247365 | 58.533652 |
| Kurtosis | 18.586607 | 27.945173 |
| Mean | 0.028904783 | 0.018531532 |
| Median Absolute Deviation (MAD) | 0.38271093 | 0.23281833 |
| Skewness | 3.4740076 | 4.7801536 |
| Sum | 7.8910059 | 5.0591083 |
| Variance | 0.97992709 | 1.1766137 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.179769287 | 1 | 0.4% |
| -0.650715811 | 1 | 0.4% |
| 0.19852423 | 1 | 0.4% |
| -0.054372027 | 1 | 0.4% |
| 0.172181238 | 1 | 0.4% |
| -0.8584806 | 1 | 0.4% |
| -1.402975223 | 1 | 0.4% |
| -0.167639495 | 1 | 0.4% |
| -0.269065451 | 1 | 0.4% |
| 0.486185767 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.023785899 | 1 | 0.4% |
| 0.462322693 | 1 | 0.4% |
| -0.454445332 | 1 | 0.4% |
| 0.453188983 | 1 | 0.4% |
| -0.591827334 | 1 | 0.4% |
| 0.001650618 | 1 | 0.4% |
| 1.564335584 | 1 | 0.4% |
| 0.719286771 | 1 | 0.4% |
| -0.641990633 | 1 | 0.4% |
| 0.007560702 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.2799359 | 1 | |
| -1.402975223 | 1 | |
| -1.398683632 | 1 | |
| -1.323481335 | 1 | |
| -1.288678098 | 1 | |
| -1.223476194 | 1 | |
| -1.17200393 | 1 | |
| -1.102133086 | 1 | |
| -1.095498723 | 1 | |
| -1.028976777 | 1 |
| Value | Count | Frequency (%) |
| -0.999377975 | 1 | |
| -0.950039222 | 1 | |
| -0.947199976 | 1 | |
| -0.922944254 | 1 | |
| -0.895426091 | 1 | |
| -0.878959213 | 1 | |
| -0.87023528 | 1 | |
| -0.846915427 | 1 | |
| -0.816131242 | 1 | |
| -0.802187863 | 1 |
| Value | Count | Frequency (%) |
| -0.999377975 | 1 | |
| -0.950039222 | 1 | |
| -0.947199976 | 1 | |
| -0.922944254 | 1 | |
| -0.895426091 | 1 | |
| -0.878959213 | 1 | |
| -0.87023528 | 1 | |
| -0.846915427 | 1 | |
| -0.816131242 | 1 | |
| -0.802187863 | 1 |
| Value | Count | Frequency (%) |
| -2.2799359 | 1 | |
| -1.402975223 | 1 | |
| -1.398683632 | 1 | |
| -1.323481335 | 1 | |
| -1.288678098 | 1 | |
| -1.223476194 | 1 | |
| -1.17200393 | 1 | |
| -1.102133086 | 1 | |
| -1.095498723 | 1 | |
| -1.028976777 | 1 |
feature60
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 6 | 8 |
| Distinct (%) | 2.2% | 2.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.073840016 | -0.030977465 |
| Train | Val | |
|---|---|---|
| Minimum | -9.8672003 | -11.743126 |
| Maximum | 7.4206985 | 6.9277243 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 4 | 5 |
| Negative (%) | 1.5% | 1.8% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -9.8672003 | -11.743126 |
| 5-th percentile | 0.008661374 | 0.061180699 |
| Q1 | 0.008661374 | 0.061180699 |
| median | 0.008661374 | 0.061180699 |
| Q3 | 0.008661374 | 0.061180699 |
| 95-th percentile | 0.008661374 | 0.061180699 |
| Maximum | 7.4206985 | 6.9277243 |
| Range | 17.287899 | 18.67085 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.040953 | 1.0837009 |
| Coefficient of variation (CV) | -14.09741 | -34.983525 |
| Kurtosis | 62.591017 | 77.769817 |
| Mean | -0.073840016 | -0.030977465 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | -5.1608675 | -6.6395609 |
| Sum | -20.158324 | -8.4568478 |
| Variance | 1.083583 | 1.1744077 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0.008661374 | 268 | |
| -7.291115481 | 1 | 0.4% |
| 7.42069847 | 1 | 0.4% |
| -4.198940314 | 1 | 0.4% |
| -9.867200277 | 1 | 0.4% |
| -8.543014876 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.061180699 | 266 | |
| 0.337278384 | 1 | 0.4% |
| -2.722028921 | 1 | 0.4% |
| -2.542712996 | 1 | 0.4% |
| -11.74312557 | 1 | 0.4% |
| 6.927724267 | 1 | 0.4% |
| -5.69104803 | 1 | 0.4% |
| -9.297000888 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -9.867200277 | 1 | 0.4% |
| -8.543014876 | 1 | 0.4% |
| -7.291115481 | 1 | 0.4% |
| -4.198940314 | 1 | 0.4% |
| 0.008661374 | 268 | |
| 7.42069847 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.74312557 | 1 | 0.4% |
| -9.297000888 | 1 | 0.4% |
| -5.69104803 | 1 | 0.4% |
| -2.722028921 | 1 | 0.4% |
| -2.542712996 | 1 | 0.4% |
| 0.061180699 | 266 | |
| 0.337278384 | 1 | 0.4% |
| 6.927724267 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.74312557 | 1 | 0.4% |
| -9.297000888 | 1 | 0.4% |
| -5.69104803 | 1 | 0.4% |
| -2.722028921 | 1 | 0.4% |
| -2.542712996 | 1 | 0.4% |
| 0.061180699 | 266 | |
| 0.337278384 | 1 | 0.4% |
| 6.927724267 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -9.867200277 | 1 | 0.4% |
| -8.543014876 | 1 | 0.4% |
| -7.291115481 | 1 | 0.4% |
| -4.198940314 | 1 | 0.4% |
| 0.008661374 | 268 | |
| 7.42069847 | 1 | 0.4% |
feature61
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.080075167 | -0.028613134 |
| Train | Val | |
|---|---|---|
| Minimum | -1.8814621 | -1.7674825 |
| Maximum | 6.1564237 | 7.444454 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 170 | 151 |
| Negative (%) | 62.3% | 55.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.8814621 | -1.7674825 |
| 5-th percentile | -1.2182456 | -1.072873 |
| Q1 | -0.51897156 | -0.466245 |
| median | -0.14727716 | -0.12420842 |
| Q3 | 0.27577448 | 0.29267143 |
| 95-th percentile | 0.88911516 | 0.96373946 |
| Maximum | 6.1564237 | 7.444454 |
| Range | 8.0378858 | 9.2119364 |
| Interquartile range (IQR) | 0.79474604 | 0.75891643 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.79686968 | 0.93084505 |
| Coefficient of variation (CV) | -9.9515206 | -32.53209 |
| Kurtosis | 18.233067 | 31.408239 |
| Mean | -0.080075167 | -0.028613134 |
| Median Absolute Deviation (MAD) | 0.38883478 | 0.40506982 |
| Skewness | 2.7364738 | 4.4128949 |
| Sum | -21.860521 | -7.8113856 |
| Variance | 0.63500129 | 0.86647252 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.039416581 | 1 | 0.4% |
| -0.465479723 | 1 | 0.4% |
| -0.820219176 | 1 | 0.4% |
| 0.38462167 | 1 | 0.4% |
| -0.596878275 | 1 | 0.4% |
| -0.28854761 | 1 | 0.4% |
| 0.016146085 | 1 | 0.4% |
| 0.438613906 | 1 | 0.4% |
| -1.249990027 | 1 | 0.4% |
| 0.196960613 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.382731241 | 1 | 0.4% |
| 0.31676449 | 1 | 0.4% |
| -0.708252798 | 1 | 0.4% |
| -0.702247067 | 1 | 0.4% |
| -0.226931969 | 1 | 0.4% |
| 0.172324153 | 1 | 0.4% |
| 0.206757773 | 1 | 0.4% |
| -0.124208416 | 1 | 0.4% |
| -0.720129406 | 1 | 0.4% |
| -0.185413122 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.881462101 | 1 | |
| -1.722389541 | 1 | |
| -1.462662342 | 1 | |
| -1.444521654 | 1 | |
| -1.420787461 | 1 | |
| -1.361645023 | 1 | |
| -1.348213649 | 1 | |
| -1.337083146 | 1 | |
| -1.279249514 | 1 | |
| -1.263391288 | 1 |
| Value | Count | Frequency (%) |
| -1.767482467 | 1 | |
| -1.467994302 | 1 | |
| -1.446164197 | 1 | |
| -1.353750873 | 1 | |
| -1.26404626 | 1 | |
| -1.245451783 | 1 | |
| -1.234846138 | 1 | |
| -1.230793524 | 1 | |
| -1.213160498 | 1 | |
| -1.209505531 | 1 |
| Value | Count | Frequency (%) |
| -1.767482467 | 1 | |
| -1.467994302 | 1 | |
| -1.446164197 | 1 | |
| -1.353750873 | 1 | |
| -1.26404626 | 1 | |
| -1.245451783 | 1 | |
| -1.234846138 | 1 | |
| -1.230793524 | 1 | |
| -1.213160498 | 1 | |
| -1.209505531 | 1 |
| Value | Count | Frequency (%) |
| -1.881462101 | 1 | |
| -1.722389541 | 1 | |
| -1.462662342 | 1 | |
| -1.444521654 | 1 | |
| -1.420787461 | 1 | |
| -1.361645023 | 1 | |
| -1.348213649 | 1 | |
| -1.337083146 | 1 | |
| -1.279249514 | 1 | |
| -1.263391288 | 1 |
feature62
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 236 | 256 |
| Distinct (%) | 86.4% | 93.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.025296549 | 0.064237026 |
| Train | Val | |
|---|---|---|
| Minimum | -1.9246691 | -1.604695 |
| Maximum | 7.0551531 | 11.198267 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 199 | 154 |
| Negative (%) | 72.9% | 56.4% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.9246691 | -1.604695 |
| 5-th percentile | -0.72030651 | -1.1659825 |
| Q1 | -0.52175979 | -0.46034631 |
| median | -0.28143985 | -0.06740609 |
| Q3 | 0.070379635 | 0.34137866 |
| 95-th percentile | 1.8776954 | 1.0931857 |
| Maximum | 7.0551531 | 11.198267 |
| Range | 8.9798222 | 12.802962 |
| Interquartile range (IQR) | 0.59213942 | 0.80172497 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.90286065 | 1.2504066 |
| Coefficient of variation (CV) | -35.69106 | 19.465511 |
| Kurtosis | 16.936003 | 41.658102 |
| Mean | -0.025296549 | 0.064237026 |
| Median Absolute Deviation (MAD) | 0.27221665 | 0.39655436 |
| Skewness | 3.2707747 | 5.4515086 |
| Sum | -6.9059578 | 17.536708 |
| Variance | 0.81515735 | 1.5635166 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.281439845 | 38 | 13.9% |
| -0.669944735 | 1 | 0.4% |
| -0.201763627 | 1 | 0.4% |
| 0.637747025 | 1 | 0.4% |
| -0.575688577 | 1 | 0.4% |
| -0.244332629 | 1 | 0.4% |
| 0.86384512 | 1 | 0.4% |
| -0.518413295 | 1 | 0.4% |
| -0.637622183 | 1 | 0.4% |
| 0.77275306 | 1 | 0.4% |
| Other values (226) | 226 |
| Value | Count | Frequency (%) |
| -0.06740609 | 18 | 6.6% |
| 0.28072519 | 1 | 0.4% |
| -0.721763841 | 1 | 0.4% |
| 0.276218265 | 1 | 0.4% |
| -0.172323525 | 1 | 0.4% |
| -0.305807822 | 1 | 0.4% |
| 0.121310855 | 1 | 0.4% |
| 0.616829358 | 1 | 0.4% |
| 0.431392103 | 1 | 0.4% |
| -0.466511075 | 1 | 0.4% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| -1.924669128 | 1 | |
| -0.742490724 | 1 | |
| -0.741528086 | 1 | |
| -0.73964319 | 1 | |
| -0.739469414 | 1 | |
| -0.738378512 | 1 | |
| -0.737254131 | 1 | |
| -0.734725928 | 1 | |
| -0.734060612 | 1 | |
| -0.731319489 | 1 |
| Value | Count | Frequency (%) |
| -1.604695007 | 1 | |
| -1.584343323 | 1 | |
| -1.523449408 | 1 | |
| -1.483625086 | 1 | |
| -1.449303956 | 1 | |
| -1.419527498 | 1 | |
| -1.367870348 | 1 | |
| -1.361681494 | 1 | |
| -1.268621075 | 1 | |
| -1.208509418 | 1 |
| Value | Count | Frequency (%) |
| -1.604695007 | 1 | |
| -1.584343323 | 1 | |
| -1.523449408 | 1 | |
| -1.483625086 | 1 | |
| -1.449303956 | 1 | |
| -1.419527498 | 1 | |
| -1.367870348 | 1 | |
| -1.361681494 | 1 | |
| -1.268621075 | 1 | |
| -1.208509418 | 1 |
| Value | Count | Frequency (%) |
| -1.924669128 | 1 | |
| -0.742490724 | 1 | |
| -0.741528086 | 1 | |
| -0.73964319 | 1 | |
| -0.739469414 | 1 | |
| -0.738378512 | 1 | |
| -0.737254131 | 1 | |
| -0.734725928 | 1 | |
| -0.734060612 | 1 | |
| -0.731319489 | 1 |
feature63
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 235 | 257 |
| Distinct (%) | 86.1% | 94.1% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.10802173 | 0.0070349583 |
| Train | Val | |
|---|---|---|
| Minimum | -2.0181495 | -2.8022666 |
| Maximum | 9.5598523 | 11.956491 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 160 | 142 |
| Negative (%) | 58.6% | 52.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.0181495 | -2.8022666 |
| 5-th percentile | -0.84988957 | -1.118144 |
| Q1 | -0.27568862 | -0.59247079 |
| median | -0.083392469 | -0.025334505 |
| Q3 | 0.32236202 | 0.48715383 |
| 95-th percentile | 0.91036721 | 1.0273201 |
| Maximum | 9.5598523 | 11.956491 |
| Range | 11.578002 | 14.758757 |
| Interquartile range (IQR) | 0.59805064 | 1.0796246 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.1666862 | 1.0534714 |
| Coefficient of variation (CV) | 10.800476 | 149.74807 |
| Kurtosis | 40.182556 | 62.377766 |
| Mean | 0.10802173 | 0.0070349583 |
| Median Absolute Deviation (MAD) | 0.31788327 | 0.54207462 |
| Skewness | 5.665824 | 5.7412795 |
| Sum | 29.489934 | 1.9205436 |
| Variance | 1.3611567 | 1.109802 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.083392469 | 39 | 14.3% |
| 0.188626969 | 1 | 0.4% |
| -0.056918557 | 1 | 0.4% |
| 0.339490384 | 1 | 0.4% |
| 0.283602188 | 1 | 0.4% |
| -0.015624553 | 1 | 0.4% |
| 0.227261817 | 1 | 0.4% |
| -0.86632411 | 1 | 0.4% |
| -0.224265523 | 1 | 0.4% |
| 0.022593476 | 1 | 0.4% |
| Other values (225) | 225 |
| Value | Count | Frequency (%) |
| -0.025334505 | 17 | 6.2% |
| -1.076964711 | 1 | 0.4% |
| -1.16151521 | 1 | 0.4% |
| -0.110818229 | 1 | 0.4% |
| -0.350156696 | 1 | 0.4% |
| 0.031774252 | 1 | 0.4% |
| 0.331362138 | 1 | 0.4% |
| 0.375912842 | 1 | 0.4% |
| -1.104318288 | 1 | 0.4% |
| 0.291711893 | 1 | 0.4% |
| Other values (247) | 247 |
| Value | Count | Frequency (%) |
| -2.018149507 | 1 | |
| -1.818771898 | 1 | |
| -1.288396939 | 1 | |
| -1.273360493 | 1 | |
| -1.228118809 | 1 | |
| -1.137803916 | 1 | |
| -1.072319593 | 1 | |
| -1.004362511 | 1 | |
| -0.994145629 | 1 | |
| -0.97791161 | 1 |
| Value | Count | Frequency (%) |
| -2.802266567 | 1 | |
| -2.051927975 | 1 | |
| -1.226477563 | 1 | |
| -1.225237607 | 1 | |
| -1.204627985 | 1 | |
| -1.202014774 | 1 | |
| -1.201630965 | 1 | |
| -1.180577124 | 1 | |
| -1.167411505 | 1 | |
| -1.16151521 | 1 |
| Value | Count | Frequency (%) |
| -2.802266567 | 1 | |
| -2.051927975 | 1 | |
| -1.226477563 | 1 | |
| -1.225237607 | 1 | |
| -1.204627985 | 1 | |
| -1.202014774 | 1 | |
| -1.201630965 | 1 | |
| -1.180577124 | 1 | |
| -1.167411505 | 1 | |
| -1.16151521 | 1 |
| Value | Count | Frequency (%) |
| -2.018149507 | 1 | |
| -1.818771898 | 1 | |
| -1.288396939 | 1 | |
| -1.273360493 | 1 | |
| -1.228118809 | 1 | |
| -1.137803916 | 1 | |
| -1.072319593 | 1 | |
| -1.004362511 | 1 | |
| -0.994145629 | 1 | |
| -0.97791161 | 1 |
feature64
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 7 | 7 |
| Distinct (%) | 2.6% | 2.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.043872817 | -0.027097347 |
| Train | Val | |
|---|---|---|
| Minimum | -8.7492633 | -11.411077 |
| Maximum | 6.252676 | 8.2935691 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 2 | 4 |
| Negative (%) | 0.7% | 1.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -8.7492633 | -11.411077 |
| 5-th percentile | 0.039586106 | 0.003963157 |
| Q1 | 0.039586106 | 0.003963157 |
| median | 0.039586106 | 0.003963157 |
| Q3 | 0.039586106 | 0.003963157 |
| 95-th percentile | 0.039586106 | 0.003963157 |
| Maximum | 6.252676 | 8.2935691 |
| Range | 15.001939 | 19.704646 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.7446513 | 0.97584813 |
| Coefficient of variation (CV) | 16.972954 | -36.012682 |
| Kurtosis | 94.284242 | 92.597091 |
| Mean | 0.043872817 | -0.027097347 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | -3.5716587 | -4.0644188 |
| Sum | 11.977279 | -7.3975757 |
| Variance | 0.55450556 | 0.95227958 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0.039586106 | 267 | |
| 1.469705379 | 1 | 0.4% |
| -3.455260824 | 1 | 0.4% |
| 1.558871656 | 1 | 0.4% |
| 4.331059744 | 1 | 0.4% |
| -8.749263279 | 1 | 0.4% |
| 6.252675961 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.003963157 | 267 | |
| -1.574538084 | 1 | 0.4% |
| -2.36068597 | 1 | 0.4% |
| 4.357356274 | 1 | 0.4% |
| -5.760363046 | 1 | 0.4% |
| -11.41107682 | 1 | 0.4% |
| 8.29356905 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -8.749263279 | 1 | 0.4% |
| -3.455260824 | 1 | 0.4% |
| 0.039586106 | 267 | |
| 1.469705379 | 1 | 0.4% |
| 1.558871656 | 1 | 0.4% |
| 4.331059744 | 1 | 0.4% |
| 6.252675961 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.41107682 | 1 | 0.4% |
| -5.760363046 | 1 | 0.4% |
| -2.36068597 | 1 | 0.4% |
| -1.574538084 | 1 | 0.4% |
| 0.003963157 | 267 | |
| 4.357356274 | 1 | 0.4% |
| 8.29356905 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.41107682 | 1 | 0.4% |
| -5.760363046 | 1 | 0.4% |
| -2.36068597 | 1 | 0.4% |
| -1.574538084 | 1 | 0.4% |
| 0.003963157 | 267 | |
| 4.357356274 | 1 | 0.4% |
| 8.29356905 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -8.749263279 | 1 | 0.4% |
| -3.455260824 | 1 | 0.4% |
| 0.039586106 | 267 | |
| 1.469705379 | 1 | 0.4% |
| 1.558871656 | 1 | 0.4% |
| 4.331059744 | 1 | 0.4% |
| 6.252675961 | 1 | 0.4% |
feature65
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 6 | 9 |
| Distinct (%) | 2.2% | 3.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.043814508 | 0.035888211 |
| Train | Val | |
|---|---|---|
| Minimum | -10.40074 | -13.489401 |
| Maximum | 3.8796831 | 9.1713475 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 4 | 3 |
| Negative (%) | 1.5% | 1.1% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -10.40074 | -13.489401 |
| 5-th percentile | 0.041518673 | 0.04371609 |
| Q1 | 0.041518673 | 0.04371609 |
| median | 0.041518673 | 0.04371609 |
| Q3 | 0.041518673 | 0.04371609 |
| 95-th percentile | 0.041518673 | 0.04371609 |
| Maximum | 3.8796831 | 9.1713475 |
| Range | 14.280423 | 22.660749 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.91755726 | 1.1051632 |
| Coefficient of variation (CV) | -20.941859 | 30.794603 |
| Kurtosis | 87.797025 | 101.80289 |
| Mean | -0.043814508 | 0.035888211 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | -8.5307946 | -4.7475757 |
| Sum | -11.961361 | 9.7974815 |
| Variance | 0.84191132 | 1.2213857 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0.041518673 | 268 | |
| -5.526179609 | 1 | 0.4% |
| -8.198504863 | 1 | 0.4% |
| 3.879683131 | 1 | 0.4% |
| -2.842624092 | 1 | 0.4% |
| -10.40073967 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.04371609 | 265 | |
| -4.94991872 | 1 | 0.4% |
| -13.4894013 | 1 | 0.4% |
| 2.948522408 | 1 | 0.4% |
| 4.554267594 | 1 | 0.4% |
| -2.701128699 | 1 | 0.4% |
| 2.102075565 | 1 | 0.4% |
| 9.171347455 | 1 | 0.4% |
| 0.576953394 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -10.40073967 | 1 | 0.4% |
| -8.198504863 | 1 | 0.4% |
| -5.526179609 | 1 | 0.4% |
| -2.842624092 | 1 | 0.4% |
| 0.041518673 | 268 | |
| 3.879683131 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -13.4894013 | 1 | 0.4% |
| -4.94991872 | 1 | 0.4% |
| -2.701128699 | 1 | 0.4% |
| 0.04371609 | 265 | |
| 0.576953394 | 1 | 0.4% |
| 2.102075565 | 1 | 0.4% |
| 2.948522408 | 1 | 0.4% |
| 4.554267594 | 1 | 0.4% |
| 9.171347455 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -13.4894013 | 1 | 0.4% |
| -4.94991872 | 1 | 0.4% |
| -2.701128699 | 1 | 0.4% |
| 0.04371609 | 265 | |
| 0.576953394 | 1 | 0.4% |
| 2.102075565 | 1 | 0.4% |
| 2.948522408 | 1 | 0.4% |
| 4.554267594 | 1 | 0.4% |
| 9.171347455 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -10.40073967 | 1 | 0.4% |
| -8.198504863 | 1 | 0.4% |
| -5.526179609 | 1 | 0.4% |
| -2.842624092 | 1 | 0.4% |
| 0.041518673 | 268 | |
| 3.879683131 | 1 | 0.4% |
feature66
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.048778273 | -0.018729967 |
| Train | Val | |
|---|---|---|
| Minimum | -1.8276084 | -2.6353483 |
| Maximum | 4.8416409 | 9.6251083 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 150 | 148 |
| Negative (%) | 54.9% | 54.2% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.8276084 | -2.6353483 |
| 5-th percentile | -1.0226803 | -1.2100704 |
| Q1 | -0.44857446 | -0.58781393 |
| median | -0.076446571 | -0.073753931 |
| Q3 | 0.27785563 | 0.44095763 |
| 95-th percentile | 1.0604138 | 1.269275 |
| Maximum | 4.8416409 | 9.6251083 |
| Range | 6.6692494 | 12.260457 |
| Interquartile range (IQR) | 0.72643009 | 1.0287716 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.69844998 | 1.0081918 |
| Coefficient of variation (CV) | -14.318875 | -53.827743 |
| Kurtosis | 8.7864098 | 31.144728 |
| Mean | -0.048778273 | -0.018729967 |
| Median Absolute Deviation (MAD) | 0.36954168 | 0.51471156 |
| Skewness | 1.485471 | 3.5743389 |
| Sum | -13.316469 | -5.1132809 |
| Variance | 0.48783237 | 1.0164508 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.195195154 | 1 | 0.4% |
| -0.222285852 | 1 | 0.4% |
| -0.037312107 | 1 | 0.4% |
| -0.339950973 | 1 | 0.4% |
| 0.081948795 | 1 | 0.4% |
| 0.226932138 | 1 | 0.4% |
| -0.121228642 | 1 | 0.4% |
| -0.358399888 | 1 | 0.4% |
| 0.036888848 | 1 | 0.4% |
| -0.336423049 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 0.067789055 | 1 | 0.4% |
| -1.221759213 | 1 | 0.4% |
| -0.541557362 | 1 | 0.4% |
| -0.566269031 | 1 | 0.4% |
| -0.418987462 | 1 | 0.4% |
| 0.752275317 | 1 | 0.4% |
| 0.454375039 | 1 | 0.4% |
| -0.834538661 | 1 | 0.4% |
| 0.792286265 | 1 | 0.4% |
| 0.603118328 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.827608404 | 1 | |
| -1.639965523 | 1 | |
| -1.615886285 | 1 | |
| -1.513749059 | 1 | |
| -1.333898501 | 1 | |
| -1.291617307 | 1 | |
| -1.286647013 | 1 | |
| -1.252259207 | 1 | |
| -1.2168478 | 1 | |
| -1.204611235 | 1 |
| Value | Count | Frequency (%) |
| -2.635348276 | 1 | |
| -2.202906261 | 1 | |
| -2.08675488 | 1 | |
| -1.844623872 | 1 | |
| -1.74002103 | 1 | |
| -1.502249247 | 1 | |
| -1.489692331 | 1 | |
| -1.463770777 | 1 | |
| -1.405730789 | 1 | |
| -1.391483928 | 1 |
| Value | Count | Frequency (%) |
| -2.635348276 | 1 | |
| -2.202906261 | 1 | |
| -2.08675488 | 1 | |
| -1.844623872 | 1 | |
| -1.74002103 | 1 | |
| -1.502249247 | 1 | |
| -1.489692331 | 1 | |
| -1.463770777 | 1 | |
| -1.405730789 | 1 | |
| -1.391483928 | 1 |
| Value | Count | Frequency (%) |
| -1.827608404 | 1 | |
| -1.639965523 | 1 | |
| -1.615886285 | 1 | |
| -1.513749059 | 1 | |
| -1.333898501 | 1 | |
| -1.291617307 | 1 | |
| -1.286647013 | 1 | |
| -1.252259207 | 1 | |
| -1.2168478 | 1 | |
| -1.204611235 | 1 |
feature67
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.092503749 | -0.014210214 |
| Train | Val | |
|---|---|---|
| Minimum | -2.0910385 | -2.3376036 |
| Maximum | 9.0978522 | 6.3742287 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 133 | 163 |
| Negative (%) | 48.7% | 59.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.0910385 | -2.3376036 |
| 5-th percentile | -1.0631849 | -1.1421726 |
| Q1 | -0.47955849 | -0.57392343 |
| median | 0.011298573 | -0.14261392 |
| Q3 | 0.39357753 | 0.39229747 |
| 95-th percentile | 1.0084836 | 1.3020203 |
| Maximum | 9.0978522 | 6.3742287 |
| Range | 11.188891 | 8.7118323 |
| Interquartile range (IQR) | 0.87313602 | 0.9662209 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.287798 | 0.94786594 |
| Coefficient of variation (CV) | 13.921576 | -66.703143 |
| Kurtosis | 24.883552 | 14.857591 |
| Mean | 0.092503749 | -0.014210214 |
| Median Absolute Deviation (MAD) | 0.44034519 | 0.4613285 |
| Skewness | 4.379269 | 2.6728948 |
| Sum | 25.253523 | -3.8793885 |
| Variance | 1.6584236 | 0.89844985 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.595723347 | 1 | 0.4% |
| 0.165699749 | 1 | 0.4% |
| 0.256357255 | 1 | 0.4% |
| -0.198600029 | 1 | 0.4% |
| -0.917715765 | 1 | 0.4% |
| 0.43116271 | 1 | 0.4% |
| -0.20766945 | 1 | 0.4% |
| 0.237789438 | 1 | 0.4% |
| -0.742602171 | 1 | 0.4% |
| 0.494641278 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 0.543548773 | 1 | 0.4% |
| -0.611725391 | 1 | 0.4% |
| -0.459020705 | 1 | 0.4% |
| -0.272122153 | 1 | 0.4% |
| -0.226600836 | 1 | 0.4% |
| -0.175544656 | 1 | 0.4% |
| -0.020892543 | 1 | 0.4% |
| -1.30173171 | 1 | 0.4% |
| -0.026922755 | 1 | 0.4% |
| -0.114344441 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.091038477 | 1 | |
| -1.685434548 | 1 | |
| -1.569085577 | 1 | |
| -1.560121155 | 1 | |
| -1.536154463 | 1 | |
| -1.522236197 | 1 | |
| -1.518676925 | 1 | |
| -1.48882024 | 1 | |
| -1.285837009 | 1 | |
| -1.253744439 | 1 |
| Value | Count | Frequency (%) |
| -2.337603646 | 1 | |
| -1.746934684 | 1 | |
| -1.604822171 | 1 | |
| -1.57512869 | 1 | |
| -1.492394555 | 1 | |
| -1.339820075 | 1 | |
| -1.335697216 | 1 | |
| -1.327330505 | 1 | |
| -1.31883206 | 1 | |
| -1.30173171 | 1 |
| Value | Count | Frequency (%) |
| -2.337603646 | 1 | |
| -1.746934684 | 1 | |
| -1.604822171 | 1 | |
| -1.57512869 | 1 | |
| -1.492394555 | 1 | |
| -1.339820075 | 1 | |
| -1.335697216 | 1 | |
| -1.327330505 | 1 | |
| -1.31883206 | 1 | |
| -1.30173171 | 1 |
| Value | Count | Frequency (%) |
| -2.091038477 | 1 | |
| -1.685434548 | 1 | |
| -1.569085577 | 1 | |
| -1.560121155 | 1 | |
| -1.536154463 | 1 | |
| -1.522236197 | 1 | |
| -1.518676925 | 1 | |
| -1.48882024 | 1 | |
| -1.285837009 | 1 | |
| -1.253744439 | 1 |
feature68
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 237 | 256 |
| Distinct (%) | 86.8% | 93.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.034020337 | -0.017293903 |
| Train | Val | |
|---|---|---|
| Minimum | -2.735223 | -3.4955919 |
| Maximum | 6.4869038 | 11.07722 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 172 | 159 |
| Negative (%) | 63.0% | 58.2% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.735223 | -3.4955919 |
| 5-th percentile | -0.77778086 | -0.99397923 |
| Q1 | -0.3976476 | -0.49291886 |
| median | -0.094055209 | -0.076197655 |
| Q3 | 0.20123575 | 0.45620898 |
| 95-th percentile | 0.58135966 | 0.89672192 |
| Maximum | 6.4869038 | 11.07722 |
| Range | 9.2221268 | 14.572812 |
| Interquartile range (IQR) | 0.59888335 | 0.94912784 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.79615374 | 0.91147403 |
| Coefficient of variation (CV) | -23.402288 | -52.704933 |
| Kurtosis | 33.915866 | 80.593762 |
| Mean | -0.034020337 | -0.017293903 |
| Median Absolute Deviation (MAD) | 0.30232658 | 0.48901264 |
| Skewness | 4.711096 | 6.4552384 |
| Sum | -9.2875521 | -4.7212356 |
| Variance | 0.63386077 | 0.83078491 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.094055209 | 37 | 13.6% |
| -0.498137213 | 1 | 0.4% |
| 0.131503649 | 1 | 0.4% |
| -0.412626808 | 1 | 0.4% |
| 0.629213724 | 1 | 0.4% |
| -0.089547407 | 1 | 0.4% |
| -0.845069649 | 1 | 0.4% |
| -0.307335787 | 1 | 0.4% |
| 0.050842084 | 1 | 0.4% |
| -0.518845753 | 1 | 0.4% |
| Other values (227) | 227 |
| Value | Count | Frequency (%) |
| -0.076197655 | 18 | 6.6% |
| 0.403660202 | 1 | 0.4% |
| -0.077028152 | 1 | 0.4% |
| -0.608408276 | 1 | 0.4% |
| -0.170683827 | 1 | 0.4% |
| 0.806357215 | 1 | 0.4% |
| -0.829498312 | 1 | 0.4% |
| 0.890745996 | 1 | 0.4% |
| 0.774534366 | 1 | 0.4% |
| -0.594779888 | 1 | 0.4% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| -2.735222977 | 1 | |
| -1.748933171 | 1 | |
| -0.867759513 | 1 | |
| -0.857301674 | 1 | |
| -0.850890478 | 1 | |
| -0.845359644 | 1 | |
| -0.845069649 | 1 | |
| -0.832574752 | 1 | |
| -0.830967913 | 1 | |
| -0.806987014 | 1 |
| Value | Count | Frequency (%) |
| -3.495591909 | 1 | |
| -1.066180372 | 1 | |
| -1.061211557 | 1 | |
| -1.051909471 | 1 | |
| -1.046922376 | 1 | |
| -1.042529546 | 1 | |
| -1.039185789 | 1 | |
| -1.020812503 | 1 | |
| -1.017586422 | 1 | |
| -1.01451037 | 1 |
| Value | Count | Frequency (%) |
| -3.495591909 | 1 | |
| -1.066180372 | 1 | |
| -1.061211557 | 1 | |
| -1.051909471 | 1 | |
| -1.046922376 | 1 | |
| -1.042529546 | 1 | |
| -1.039185789 | 1 | |
| -1.020812503 | 1 | |
| -1.017586422 | 1 | |
| -1.01451037 | 1 |
| Value | Count | Frequency (%) |
| -2.735222977 | 1 | |
| -1.748933171 | 1 | |
| -0.867759513 | 1 | |
| -0.857301674 | 1 | |
| -0.850890478 | 1 | |
| -0.845359644 | 1 | |
| -0.845069649 | 1 | |
| -0.832574752 | 1 | |
| -0.830967913 | 1 | |
| -0.806987014 | 1 |
feature69
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 246 | 255 |
| Distinct (%) | 90.1% | 93.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.00058089761 | -0.028337351 |
| Train | Val | |
|---|---|---|
| Minimum | -0.90494323 | -2.368525 |
| Maximum | 8.9821357 | 9.7180907 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 159 | 153 |
| Negative (%) | 58.2% | 56.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.90494323 | -2.368525 |
| 5-th percentile | -0.80952148 | -0.96726484 |
| Q1 | -0.44314598 | -0.48063129 |
| median | -0.10864119 | -0.044399659 |
| Q3 | 0.27732127 | 0.26792091 |
| 95-th percentile | 0.63707428 | 0.87853344 |
| Maximum | 8.9821357 | 9.7180907 |
| Range | 9.8870789 | 12.086616 |
| Interquartile range (IQR) | 0.72046725 | 0.7485522 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.84441057 | 0.91758209 |
| Coefficient of variation (CV) | 1453.6306 | -32.380658 |
| Kurtosis | 56.526365 | 52.379531 |
| Mean | 0.00058089761 | -0.028337351 |
| Median Absolute Deviation (MAD) | 0.35759866 | 0.37762601 |
| Skewness | 6.1744957 | 5.3742638 |
| Sum | 0.15858505 | -7.7360969 |
| Variance | 0.71302921 | 0.84195689 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.108641193 | 28 | 10.3% |
| -0.287611717 | 1 | 0.4% |
| -0.010382408 | 1 | 0.4% |
| 8.982135661 | 1 | 0.4% |
| -0.619228953 | 1 | 0.4% |
| -0.191849583 | 1 | 0.4% |
| 0.181900397 | 1 | 0.4% |
| -0.682461152 | 1 | 0.4% |
| -0.76030286 | 1 | 0.4% |
| -0.804074848 | 1 | 0.4% |
| Other values (236) | 236 |
| Value | Count | Frequency (%) |
| -0.044399659 | 19 | 7.0% |
| 0.449384816 | 1 | 0.4% |
| 1.55276768 | 1 | 0.4% |
| 0.537966958 | 1 | 0.4% |
| 0.059795349 | 1 | 0.4% |
| 0.416018916 | 1 | 0.4% |
| 0.333226355 | 1 | 0.4% |
| 0.07158023 | 1 | 0.4% |
| -0.890171525 | 1 | 0.4% |
| -0.4781609 | 1 | 0.4% |
| Other values (245) | 245 |
| Value | Count | Frequency (%) |
| -0.904943229 | 1 | |
| -0.881014 | 1 | |
| -0.871930212 | 1 | |
| -0.865488414 | 1 | |
| -0.86532833 | 1 | |
| -0.86058542 | 1 | |
| -0.838601596 | 1 | |
| -0.826290361 | 1 | |
| -0.816916451 | 1 | |
| -0.816287833 | 1 |
| Value | Count | Frequency (%) |
| -2.368524961 | 1 | |
| -2.101965776 | 1 | |
| -1.675274189 | 1 | |
| -1.497494415 | 1 | |
| -1.412705793 | 1 | |
| -1.237752701 | 1 | |
| -1.229732315 | 1 | |
| -1.175527927 | 1 | |
| -1.142094112 | 1 | |
| -1.095168555 | 1 |
| Value | Count | Frequency (%) |
| -2.368524961 | 1 | |
| -2.101965776 | 1 | |
| -1.675274189 | 1 | |
| -1.497494415 | 1 | |
| -1.412705793 | 1 | |
| -1.237752701 | 1 | |
| -1.229732315 | 1 | |
| -1.175527927 | 1 | |
| -1.142094112 | 1 | |
| -1.095168555 | 1 |
| Value | Count | Frequency (%) |
| -0.904943229 | 1 | |
| -0.881014 | 1 | |
| -0.871930212 | 1 | |
| -0.865488414 | 1 | |
| -0.86532833 | 1 | |
| -0.86058542 | 1 | |
| -0.838601596 | 1 | |
| -0.826290361 | 1 | |
| -0.816916451 | 1 | |
| -0.816287833 | 1 |
feature70
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 242 | 259 |
| Distinct (%) | 88.6% | 94.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.027652441 | 0.030732612 |
| Train | Val | |
|---|---|---|
| Minimum | -1.8773972 | -2.168428 |
| Maximum | 10.183036 | 10.137421 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 177 | 160 |
| Negative (%) | 64.8% | 58.6% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.8773972 | -2.168428 |
| 5-th percentile | -0.93919087 | -0.81674572 |
| Q1 | -0.47649243 | -0.4526672 |
| median | -0.083423695 | -0.073297467 |
| Q3 | 0.13932108 | 0.37535383 |
| 95-th percentile | 0.82992946 | 0.68306664 |
| Maximum | 10.183036 | 10.137421 |
| Range | 12.060433 | 12.305849 |
| Interquartile range (IQR) | 0.61581352 | 0.82802103 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0729295 | 1.0705386 |
| Coefficient of variation (CV) | -38.800535 | 34.83396 |
| Kurtosis | 53.341116 | 44.426645 |
| Mean | -0.027652441 | 0.030732612 |
| Median Absolute Deviation (MAD) | 0.33027763 | 0.41480999 |
| Skewness | 6.3073568 | 5.7400339 |
| Sum | -7.5491164 | 8.3900031 |
| Variance | 1.1511777 | 1.1460528 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.083423695 | 32 | 11.7% |
| 0.502966576 | 1 | 0.4% |
| -0.325880779 | 1 | 0.4% |
| 0.028573857 | 1 | 0.4% |
| -0.177245148 | 1 | 0.4% |
| 0.295018563 | 1 | 0.4% |
| 1.158182122 | 1 | 0.4% |
| 0.229389711 | 1 | 0.4% |
| 0.092605702 | 1 | 0.4% |
| -0.93258546 | 1 | 0.4% |
| Other values (232) | 232 |
| Value | Count | Frequency (%) |
| -0.073297467 | 15 | 5.5% |
| -0.523779196 | 1 | 0.4% |
| -0.260002158 | 1 | 0.4% |
| 0.176706718 | 1 | 0.4% |
| 0.411736498 | 1 | 0.4% |
| -0.028581213 | 1 | 0.4% |
| -0.110907968 | 1 | 0.4% |
| 0.587247754 | 1 | 0.4% |
| 0.692512397 | 1 | 0.4% |
| -0.083595824 | 1 | 0.4% |
| Other values (249) | 249 |
| Value | Count | Frequency (%) |
| -1.877397175 | 1 | |
| -1.13140228 | 1 | |
| -1.098934738 | 1 | |
| -1.098657533 | 1 | |
| -1.087054015 | 1 | |
| -1.081453177 | 1 | |
| -1.057554594 | 1 | |
| -1.048304072 | 1 | |
| -1.041439328 | 1 | |
| -1.039269923 | 1 |
| Value | Count | Frequency (%) |
| -2.168427965 | 1 | |
| -2.11064141 | 1 | |
| -0.912438623 | 1 | |
| -0.905454211 | 1 | |
| -0.895940632 | 1 | |
| -0.890826387 | 1 | |
| -0.867376278 | 1 | |
| -0.846047395 | 1 | |
| -0.844555418 | 1 | |
| -0.839999105 | 1 |
| Value | Count | Frequency (%) |
| -2.168427965 | 1 | |
| -2.11064141 | 1 | |
| -0.912438623 | 1 | |
| -0.905454211 | 1 | |
| -0.895940632 | 1 | |
| -0.890826387 | 1 | |
| -0.867376278 | 1 | |
| -0.846047395 | 1 | |
| -0.844555418 | 1 | |
| -0.839999105 | 1 |
| Value | Count | Frequency (%) |
| -1.877397175 | 1 | |
| -1.13140228 | 1 | |
| -1.098934738 | 1 | |
| -1.098657533 | 1 | |
| -1.087054015 | 1 | |
| -1.081453177 | 1 | |
| -1.057554594 | 1 | |
| -1.048304072 | 1 | |
| -1.041439328 | 1 | |
| -1.039269923 | 1 |
feature71
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 238 | 259 |
| Distinct (%) | 87.2% | 94.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.10884465 | -0.0025809053 |
| Train | Val | |
|---|---|---|
| Minimum | -0.70563562 | -1.5221376 |
| Maximum | 8.5844925 | 4.8496992 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 82 | 117 |
| Negative (%) | 30.0% | 42.9% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.70563562 | -1.5221376 |
| 5-th percentile | -0.66770572 | -0.70598526 |
| Q1 | -0.61154563 | -0.68453448 |
| median | 0.20328517 | 0.36878132 |
| Q3 | 0.22806197 | 0.38912782 |
| 95-th percentile | 0.25976436 | 0.40797793 |
| Maximum | 8.5844925 | 4.8496992 |
| Range | 9.2901282 | 6.3718368 |
| Interquartile range (IQR) | 0.8396076 | 1.0736623 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0920652 | 0.77778393 |
| Coefficient of variation (CV) | 10.033246 | -301.3609 |
| Kurtosis | 36.432049 | 14.046156 |
| Mean | 0.10884465 | -0.0025809053 |
| Median Absolute Deviation (MAD) | 0.034064518 | 0.036759504 |
| Skewness | 5.5903464 | 2.7003944 |
| Sum | 29.714589 | -0.70458713 |
| Variance | 1.1926064 | 0.60494785 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.203285166 | 36 | 13.2% |
| 0.243698581 | 1 | 0.4% |
| -0.675531962 | 1 | 0.4% |
| 0.2059143 | 1 | 0.4% |
| 0.240518485 | 1 | 0.4% |
| 0.037307112 | 1 | 0.4% |
| 0.235075196 | 1 | 0.4% |
| 0.264178282 | 1 | 0.4% |
| 0.129338807 | 1 | 0.4% |
| -0.665958573 | 1 | 0.4% |
| Other values (228) | 228 |
| Value | Count | Frequency (%) |
| 0.368781316 | 15 | 5.5% |
| 0.375805221 | 1 | 0.4% |
| -0.693448029 | 1 | 0.4% |
| -0.706290805 | 1 | 0.4% |
| -0.559643408 | 1 | 0.4% |
| -0.688262036 | 1 | 0.4% |
| 0.368970356 | 1 | 0.4% |
| 0.423973604 | 1 | 0.4% |
| 0.4124248 | 1 | 0.4% |
| -0.691079403 | 1 | 0.4% |
| Other values (249) | 249 |
| Value | Count | Frequency (%) |
| -0.705635621 | 1 | |
| -0.693084529 | 1 | |
| -0.691357571 | 1 | |
| -0.686433649 | 1 | |
| -0.679192942 | 1 | |
| -0.678710679 | 1 | |
| -0.677675288 | 1 | |
| -0.676983435 | 1 | |
| -0.675531962 | 1 | |
| -0.672985524 | 1 |
| Value | Count | Frequency (%) |
| -1.522137644 | 1 | |
| -0.72285204 | 1 | |
| -0.720138088 | 1 | |
| -0.720032613 | 1 | |
| -0.717568365 | 1 | |
| -0.715782306 | 1 | |
| -0.713239873 | 1 | |
| -0.712434544 | 1 | |
| -0.708604896 | 1 | |
| -0.708597006 | 1 |
| Value | Count | Frequency (%) |
| -1.522137644 | 1 | |
| -0.72285204 | 1 | |
| -0.720138088 | 1 | |
| -0.720032613 | 1 | |
| -0.717568365 | 1 | |
| -0.715782306 | 1 | |
| -0.713239873 | 1 | |
| -0.712434544 | 1 | |
| -0.708604896 | 1 | |
| -0.708597006 | 1 |
| Value | Count | Frequency (%) |
| -0.705635621 | 1 | |
| -0.693084529 | 1 | |
| -0.691357571 | 1 | |
| -0.686433649 | 1 | |
| -0.679192942 | 1 | |
| -0.678710679 | 1 | |
| -0.677675288 | 1 | |
| -0.676983435 | 1 | |
| -0.675531962 | 1 | |
| -0.672985524 | 1 |
feature72
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.044176483 | 0.020815624 |
| Train | Val | |
|---|---|---|
| Minimum | -2.0614809 | -2.2001015 |
| Maximum | 7.4848748 | 6.8183554 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 146 | 143 |
| Negative (%) | 53.5% | 52.4% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.0614809 | -2.2001015 |
| 5-th percentile | -1.1583087 | -1.2659166 |
| Q1 | -0.44182585 | -0.59997391 |
| median | -0.062188055 | -0.041280334 |
| Q3 | 0.34089914 | 0.47327977 |
| 95-th percentile | 0.99712486 | 1.1779475 |
| Maximum | 7.4848748 | 6.8183554 |
| Range | 9.5463557 | 9.0184568 |
| Interquartile range (IQR) | 0.78272499 | 1.0732537 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.1100731 | 1.0484158 |
| Coefficient of variation (CV) | 25.128146 | 50.366773 |
| Kurtosis | 18.75279 | 13.650687 |
| Mean | 0.044176483 | 0.020815624 |
| Median Absolute Deviation (MAD) | 0.38538403 | 0.5424099 |
| Skewness | 3.6102672 | 2.5727986 |
| Sum | 12.06018 | 5.6826654 |
| Variance | 1.2322624 | 1.0991757 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.24464786 | 1 | 0.4% |
| 0.49578276 | 1 | 0.4% |
| -0.618666223 | 1 | 0.4% |
| 0.029622171 | 1 | 0.4% |
| -0.468135836 | 1 | 0.4% |
| -0.003126994 | 1 | 0.4% |
| 0.406748275 | 1 | 0.4% |
| 0.92595367 | 1 | 0.4% |
| -1.306610962 | 1 | 0.4% |
| -0.025411877 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.767559275 | 1 | 0.4% |
| -0.991484397 | 1 | 0.4% |
| 0.182398781 | 1 | 0.4% |
| 0.565736637 | 1 | 0.4% |
| 1.684348928 | 1 | 0.4% |
| 0.744307183 | 1 | 0.4% |
| -0.864449848 | 1 | 0.4% |
| -0.341639912 | 1 | 0.4% |
| 0.410162382 | 1 | 0.4% |
| 0.193114274 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.061480908 | 1 | |
| -1.545947476 | 1 | |
| -1.521141869 | 1 | |
| -1.507049289 | 1 | |
| -1.4607872 | 1 | |
| -1.460112592 | 1 | |
| -1.450398731 | 1 | |
| -1.425462115 | 1 | |
| -1.414852807 | 1 | |
| -1.37628475 | 1 |
| Value | Count | Frequency (%) |
| -2.20010145 | 1 | |
| -2.186464782 | 1 | |
| -2.047907239 | 1 | |
| -1.753895505 | 1 | |
| -1.588525221 | 1 | |
| -1.558076104 | 1 | |
| -1.556945807 | 1 | |
| -1.551811674 | 1 | |
| -1.507011071 | 1 | |
| -1.504986157 | 1 |
| Value | Count | Frequency (%) |
| -2.20010145 | 1 | |
| -2.186464782 | 1 | |
| -2.047907239 | 1 | |
| -1.753895505 | 1 | |
| -1.588525221 | 1 | |
| -1.558076104 | 1 | |
| -1.556945807 | 1 | |
| -1.551811674 | 1 | |
| -1.507011071 | 1 | |
| -1.504986157 | 1 |
| Value | Count | Frequency (%) |
| -2.061480908 | 1 | |
| -1.545947476 | 1 | |
| -1.521141869 | 1 | |
| -1.507049289 | 1 | |
| -1.4607872 | 1 | |
| -1.460112592 | 1 | |
| -1.450398731 | 1 | |
| -1.425462115 | 1 | |
| -1.414852807 | 1 | |
| -1.37628475 | 1 |
feature73
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 246 | 254 |
| Distinct (%) | 90.1% | 93.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.00061424626 | 0.038643873 |
| Train | Val | |
|---|---|---|
| Minimum | -2.3020614 | -1.0449055 |
| Maximum | 5.5160271 | 10.226575 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 192 | 140 |
| Negative (%) | 70.3% | 51.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.3020614 | -1.0449055 |
| 5-th percentile | -0.71926678 | -0.96963945 |
| Q1 | -0.52166364 | -0.50539963 |
| median | -0.28613356 | -0.024974795 |
| Q3 | 0.16419264 | 0.41950873 |
| 95-th percentile | 1.7836535 | 0.75928258 |
| Maximum | 5.5160271 | 10.226575 |
| Range | 7.8180885 | 11.271481 |
| Interquartile range (IQR) | 0.68585628 | 0.92490836 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.9315088 | 0.99927903 |
| Coefficient of variation (CV) | 1516.5071 | 25.858667 |
| Kurtosis | 10.902724 | 49.545292 |
| Mean | 0.00061424626 | 0.038643873 |
| Median Absolute Deviation (MAD) | 0.28572092 | 0.46135589 |
| Skewness | 2.8085974 | 5.6924456 |
| Sum | 0.16768923 | 10.549777 |
| Variance | 0.86770864 | 0.99855859 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.286133564 | 28 | 10.3% |
| -0.061306305 | 1 | 0.4% |
| -0.538883163 | 1 | 0.4% |
| -0.513631842 | 1 | 0.4% |
| -0.285168545 | 1 | 0.4% |
| -0.538202432 | 1 | 0.4% |
| 1.196470147 | 1 | 0.4% |
| -0.717305436 | 1 | 0.4% |
| -0.049322675 | 1 | 0.4% |
| 0.11276506 | 1 | 0.4% |
| Other values (236) | 236 |
| Value | Count | Frequency (%) |
| -0.033266197 | 20 | 7.3% |
| -0.539614289 | 1 | 0.4% |
| 0.448135985 | 1 | 0.4% |
| 0.103032435 | 1 | 0.4% |
| -0.799607409 | 1 | 0.4% |
| 0.087081622 | 1 | 0.4% |
| -0.167984934 | 1 | 0.4% |
| 0.408422445 | 1 | 0.4% |
| -0.800876797 | 1 | 0.4% |
| -0.191443136 | 1 | 0.4% |
| Other values (244) | 244 |
| Value | Count | Frequency (%) |
| -2.302061431 | 1 | |
| -0.752376569 | 1 | |
| -0.751601026 | 1 | |
| -0.750508884 | 1 | |
| -0.747631006 | 1 | |
| -0.744088373 | 1 | |
| -0.741610926 | 1 | |
| -0.740918986 | 1 | |
| -0.737224278 | 1 | |
| -0.734778065 | 1 |
| Value | Count | Frequency (%) |
| -1.04490551 | 1 | |
| -1.03234925 | 1 | |
| -1.021989109 | 1 | |
| -1.021840891 | 1 | |
| -1.021540879 | 1 | |
| -1.013655822 | 1 | |
| -1.008010449 | 1 | |
| -1.001801265 | 1 | |
| -0.991834106 | 1 | |
| -0.987122967 | 1 |
| Value | Count | Frequency (%) |
| -1.04490551 | 1 | |
| -1.03234925 | 1 | |
| -1.021989109 | 1 | |
| -1.021840891 | 1 | |
| -1.021540879 | 1 | |
| -1.013655822 | 1 | |
| -1.008010449 | 1 | |
| -1.001801265 | 1 | |
| -0.991834106 | 1 | |
| -0.987122967 | 1 |
| Value | Count | Frequency (%) |
| -2.302061431 | 1 | |
| -0.752376569 | 1 | |
| -0.751601026 | 1 | |
| -0.750508884 | 1 | |
| -0.747631006 | 1 | |
| -0.744088373 | 1 | |
| -0.741610926 | 1 | |
| -0.740918986 | 1 | |
| -0.737224278 | 1 | |
| -0.734778065 | 1 |
feature74
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 236 | 252 |
| Distinct (%) | 86.4% | 92.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.098859899 | 0.0052676977 |
| Train | Val | |
|---|---|---|
| Minimum | -2.3503736 | -0.93646567 |
| Maximum | 3.628676 | 10.342965 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 191 | 162 |
| Negative (%) | 70.0% | 59.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.3503736 | -0.93646567 |
| 5-th percentile | -0.73339663 | -0.85889849 |
| Q1 | -0.56339659 | -0.49860714 |
| median | -0.28817581 | -0.091821286 |
| Q3 | 0.11377592 | 0.31532807 |
| 95-th percentile | 1.2728624 | 0.67905887 |
| Maximum | 3.628676 | 10.342965 |
| Range | 5.9790497 | 11.27943 |
| Interquartile range (IQR) | 0.67717251 | 0.81393521 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.71764315 | 1.0676054 |
| Coefficient of variation (CV) | -7.2591937 | 202.67021 |
| Kurtosis | 6.6773679 | 53.345506 |
| Mean | -0.098859899 | 0.0052676977 |
| Median Absolute Deviation (MAD) | 0.31007034 | 0.40714936 |
| Skewness | 2.0950981 | 6.4280487 |
| Sum | -26.988752 | 1.4380815 |
| Variance | 0.5150117 | 1.1397813 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.288175806 | 38 | 13.9% |
| -0.366584189 | 1 | 0.4% |
| -0.037595579 | 1 | 0.4% |
| 0.460759131 | 1 | 0.4% |
| 0.395101076 | 1 | 0.4% |
| -0.459104041 | 1 | 0.4% |
| 0.260470595 | 1 | 0.4% |
| -0.282639673 | 1 | 0.4% |
| 0.096918384 | 1 | 0.4% |
| 1.41306696 | 1 | 0.4% |
| Other values (226) | 226 |
| Value | Count | Frequency (%) |
| -0.091821286 | 22 | 8.1% |
| -0.845437027 | 1 | 0.4% |
| 0.005301644 | 1 | 0.4% |
| -0.030125735 | 1 | 0.4% |
| -0.365310189 | 1 | 0.4% |
| -0.403058047 | 1 | 0.4% |
| 0.181183551 | 1 | 0.4% |
| 0.114160533 | 1 | 0.4% |
| -0.722882137 | 1 | 0.4% |
| -0.866736597 | 1 | 0.4% |
| Other values (242) | 242 |
| Value | Count | Frequency (%) |
| -2.350373611 | 1 | |
| -0.771060177 | 1 | |
| -0.770025845 | 1 | |
| -0.769163227 | 1 | |
| -0.764007682 | 1 | |
| -0.752973456 | 1 | |
| -0.751522054 | 1 | |
| -0.747711107 | 1 | |
| -0.74745227 | 1 | |
| -0.744630704 | 1 |
| Value | Count | Frequency (%) |
| -0.936465667 | 1 | |
| -0.92776532 | 1 | |
| -0.916905451 | 1 | |
| -0.911436329 | 1 | |
| -0.910775807 | 1 | |
| -0.896349945 | 1 | |
| -0.879240618 | 1 | |
| -0.878765057 | 1 | |
| -0.878499168 | 1 | |
| -0.872875672 | 1 |
| Value | Count | Frequency (%) |
| -0.936465667 | 1 | |
| -0.92776532 | 1 | |
| -0.916905451 | 1 | |
| -0.911436329 | 1 | |
| -0.910775807 | 1 | |
| -0.896349945 | 1 | |
| -0.879240618 | 1 | |
| -0.878765057 | 1 | |
| -0.878499168 | 1 | |
| -0.872875672 | 1 |
| Value | Count | Frequency (%) |
| -2.350373611 | 1 | |
| -0.771060177 | 1 | |
| -0.770025845 | 1 | |
| -0.769163227 | 1 | |
| -0.764007682 | 1 | |
| -0.752973456 | 1 | |
| -0.751522054 | 1 | |
| -0.747711107 | 1 | |
| -0.74745227 | 1 | |
| -0.744630704 | 1 |
feature75
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 232 | 247 |
| Distinct (%) | 85.0% | 90.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.08549716 | 0.022118662 |
| Train | Val | |
|---|---|---|
| Minimum | -1.8895215 | -2.2972333 |
| Maximum | 4.6081991 | 8.3985233 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 180 | 153 |
| Negative (%) | 65.9% | 56.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.8895215 | -2.2972333 |
| 5-th percentile | -0.88804581 | -0.88152284 |
| Q1 | -0.37733325 | -0.36390938 |
| median | -0.077963731 | -0.0845253 |
| Q3 | 0.1575388 | 0.31585371 |
| 95-th percentile | 0.68766516 | 0.92209819 |
| Maximum | 4.6081991 | 8.3985233 |
| Range | 6.4977206 | 10.695757 |
| Interquartile range (IQR) | 0.53487205 | 0.67976309 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.61843613 | 0.85508575 |
| Coefficient of variation (CV) | -7.2334114 | 38.659018 |
| Kurtosis | 19.09891 | 47.565254 |
| Mean | -0.08549716 | 0.022118662 |
| Median Absolute Deviation (MAD) | 0.27793918 | 0.3419866 |
| Skewness | 2.561111 | 5.2960488 |
| Sum | -23.340725 | 6.0383947 |
| Variance | 0.38246325 | 0.73117164 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.077963731 | 42 | 15.4% |
| -0.294040072 | 1 | 0.4% |
| -0.412484618 | 1 | 0.4% |
| -0.471700943 | 1 | 0.4% |
| -0.822917774 | 1 | 0.4% |
| -0.799836112 | 1 | 0.4% |
| -0.798865088 | 1 | 0.4% |
| 0.538900444 | 1 | 0.4% |
| -0.475181326 | 1 | 0.4% |
| -0.827670535 | 1 | 0.4% |
| Other values (222) | 222 |
| Value | Count | Frequency (%) |
| -0.0845253 | 27 | 9.9% |
| -0.598224196 | 1 | 0.4% |
| -0.638933084 | 1 | 0.4% |
| -0.382122752 | 1 | 0.4% |
| 0.486760425 | 1 | 0.4% |
| -0.580420312 | 1 | 0.4% |
| -0.986566574 | 1 | 0.4% |
| 0.254734261 | 1 | 0.4% |
| -0.496286985 | 1 | 0.4% |
| 0.950176053 | 1 | 0.4% |
| Other values (237) | 237 |
| Value | Count | Frequency (%) |
| -1.889521458 | 1 | |
| -1.508203414 | 1 | |
| -1.48345307 | 1 | |
| -1.406818699 | 1 | |
| -1.296149555 | 1 | |
| -1.292344152 | 1 | |
| -1.233462709 | 1 | |
| -1.126951935 | 1 | |
| -1.119913719 | 1 | |
| -0.985207535 | 1 |
| Value | Count | Frequency (%) |
| -2.297233318 | 1 | |
| -1.557842238 | 1 | |
| -1.483015693 | 1 | |
| -1.383919582 | 1 | |
| -1.272286176 | 1 | |
| -1.1291595 | 1 | |
| -1.080902874 | 1 | |
| -1.067947519 | 1 | |
| -0.999693423 | 1 | |
| -0.986566574 | 1 |
| Value | Count | Frequency (%) |
| -2.297233318 | 1 | |
| -1.557842238 | 1 | |
| -1.483015693 | 1 | |
| -1.383919582 | 1 | |
| -1.272286176 | 1 | |
| -1.1291595 | 1 | |
| -1.080902874 | 1 | |
| -1.067947519 | 1 | |
| -0.999693423 | 1 | |
| -0.986566574 | 1 |
| Value | Count | Frequency (%) |
| -1.889521458 | 1 | |
| -1.508203414 | 1 | |
| -1.48345307 | 1 | |
| -1.406818699 | 1 | |
| -1.296149555 | 1 | |
| -1.292344152 | 1 | |
| -1.233462709 | 1 | |
| -1.126951935 | 1 | |
| -1.119913719 | 1 | |
| -0.985207535 | 1 |
feature76
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.040821162 | -0.00023089442 |
| Train | Val | |
|---|---|---|
| Minimum | -2.0877648 | -1.2607449 |
| Maximum | 7.6207238 | 7.6661095 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 178 | 198 |
| Negative (%) | 65.2% | 72.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.0877648 | -1.2607449 |
| 5-th percentile | -1.0663077 | -0.79160192 |
| Q1 | -0.64273674 | -0.46813207 |
| median | -0.21363775 | -0.26537818 |
| Q3 | 0.16954595 | 0.079195702 |
| 95-th percentile | 1.6954438 | 1.2645911 |
| Maximum | 7.6207238 | 7.6661095 |
| Range | 9.7084885 | 8.9268544 |
| Interquartile range (IQR) | 0.81228269 | 0.54732778 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.12234 | 1.0897638 |
| Coefficient of variation (CV) | -27.494073 | -4719.7495 |
| Kurtosis | 17.665094 | 21.367507 |
| Mean | -0.040821162 | -0.00023089442 |
| Median Absolute Deviation (MAD) | 0.41123774 | 0.24763737 |
| Skewness | 3.5496309 | 4.2024856 |
| Sum | -11.144177 | -0.063034176 |
| Variance | 1.2596471 | 1.1875851 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.139904993 | 1 | 0.4% |
| -0.51203526 | 1 | 0.4% |
| -1.587416156 | 1 | 0.4% |
| -0.02829324 | 1 | 0.4% |
| 0.163045949 | 1 | 0.4% |
| -0.388701249 | 1 | 0.4% |
| -1.197562696 | 1 | 0.4% |
| -1.030889582 | 1 | 0.4% |
| -0.422638217 | 1 | 0.4% |
| 0.301475708 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.627018148 | 1 | 0.4% |
| 0.318260453 | 1 | 0.4% |
| -0.259593967 | 1 | 0.4% |
| 0.138821841 | 1 | 0.4% |
| -0.070898074 | 1 | 0.4% |
| -0.198202928 | 1 | 0.4% |
| 1.223139762 | 1 | 0.4% |
| 1.26140149 | 1 | 0.4% |
| -0.384571732 | 1 | 0.4% |
| -0.558860962 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.087764751 | 1 | |
| -1.587416156 | 1 | |
| -1.415011976 | 1 | |
| -1.408901163 | 1 | |
| -1.396567376 | 1 | |
| -1.351738544 | 1 | |
| -1.224624174 | 1 | |
| -1.197752334 | 1 | |
| -1.197562696 | 1 | |
| -1.190325114 | 1 |
| Value | Count | Frequency (%) |
| -1.26074488 | 1 | |
| -1.189778176 | 1 | |
| -1.113662122 | 1 | |
| -0.920016345 | 1 | |
| -0.893675814 | 1 | |
| -0.886117261 | 1 | |
| -0.829213132 | 1 | |
| -0.822197702 | 1 | |
| -0.813066723 | 1 | |
| -0.812089946 | 1 |
| Value | Count | Frequency (%) |
| -1.26074488 | 1 | |
| -1.189778176 | 1 | |
| -1.113662122 | 1 | |
| -0.920016345 | 1 | |
| -0.893675814 | 1 | |
| -0.886117261 | 1 | |
| -0.829213132 | 1 | |
| -0.822197702 | 1 | |
| -0.813066723 | 1 | |
| -0.812089946 | 1 |
| Value | Count | Frequency (%) |
| -2.087764751 | 1 | |
| -1.587416156 | 1 | |
| -1.415011976 | 1 | |
| -1.408901163 | 1 | |
| -1.396567376 | 1 | |
| -1.351738544 | 1 | |
| -1.224624174 | 1 | |
| -1.197752334 | 1 | |
| -1.197562696 | 1 | |
| -1.190325114 | 1 |
feature77
Categorical
| Train | Val | |
|---|---|---|
| Distinct | 1 | 1 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
| 0 |
|---|
| 0 |
|---|
Length
| Train | Val | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Characters and Unicode
| Train | Val | |
|---|---|---|
| Total characters | 273 | 273 |
| Distinct characters | 1 | 1 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Train | Val | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Train | Val | |
|---|---|---|
| 1st row | 0 | 0 |
| 2nd row | 0 | 0 |
| 3rd row | 0 | 0 |
| 4th row | 0 | 0 |
| 5th row | 0 | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Length
Histogram of lengths of the category
Common Values (Plot)
Train
Val
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 273 |
| Value | Count | Frequency (%) |
| Decimal Number | 273 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 273 |
| Value | Count | Frequency (%) |
| Common | 273 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 273 |
| Value | Count | Frequency (%) |
| ASCII | 273 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
feature78
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 8 | 7 |
| Distinct (%) | 2.9% | 2.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.014510934 | 0.060420104 |
| Train | Val | |
|---|---|---|
| Minimum | -7.2139299 | -11.062832 |
| Maximum | 5.3312827 | 9.3828081 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 4 | 3 |
| Negative (%) | 1.5% | 1.1% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -7.2139299 | -11.062832 |
| 5-th percentile | 0.025524997 | 0.060800384 |
| Q1 | 0.025524997 | 0.060800384 |
| median | 0.025524997 | 0.060800384 |
| Q3 | 0.025524997 | 0.060800384 |
| 95-th percentile | 0.025524997 | 0.060800384 |
| Maximum | 5.3312827 | 9.3828081 |
| Range | 12.545213 | 20.44564 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.73256642 | 1.0009389 |
| Coefficient of variation (CV) | -50.483752 | 16.566322 |
| Kurtosis | 64.080381 | 90.128269 |
| Mean | -0.014510934 | 0.060420104 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | -4.7726516 | -1.2886597 |
| Sum | -3.9614851 | 16.494688 |
| Variance | 0.53665356 | 1.0018787 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0.025524997 | 266 | |
| -4.218308886 | 1 | 0.4% |
| -2.248464309 | 1 | 0.4% |
| 2.096691595 | 1 | 0.4% |
| -5.992658719 | 1 | 0.4% |
| 5.331282664 | 1 | 0.4% |
| 1.494253248 | 1 | 0.4% |
| -7.21392989 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.060800384 | 267 | |
| 1.080750134 | 1 | 0.4% |
| -2.059922194 | 1 | 0.4% |
| 9.38280806 | 1 | 0.4% |
| -3.659587734 | 1 | 0.4% |
| 6.579769824 | 1 | 0.4% |
| -11.06283216 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -7.21392989 | 1 | 0.4% |
| -5.992658719 | 1 | 0.4% |
| -4.218308886 | 1 | 0.4% |
| -2.248464309 | 1 | 0.4% |
| 0.025524997 | 266 | |
| 1.494253248 | 1 | 0.4% |
| 2.096691595 | 1 | 0.4% |
| 5.331282664 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.06283216 | 1 | 0.4% |
| -3.659587734 | 1 | 0.4% |
| -2.059922194 | 1 | 0.4% |
| 0.060800384 | 267 | |
| 1.080750134 | 1 | 0.4% |
| 6.579769824 | 1 | 0.4% |
| 9.38280806 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.06283216 | 1 | 0.4% |
| -3.659587734 | 1 | 0.4% |
| -2.059922194 | 1 | 0.4% |
| 0.060800384 | 267 | |
| 1.080750134 | 1 | 0.4% |
| 6.579769824 | 1 | 0.4% |
| 9.38280806 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -7.21392989 | 1 | 0.4% |
| -5.992658719 | 1 | 0.4% |
| -4.218308886 | 1 | 0.4% |
| -2.248464309 | 1 | 0.4% |
| 0.025524997 | 266 | |
| 1.494253248 | 1 | 0.4% |
| 2.096691595 | 1 | 0.4% |
| 5.331282664 | 1 | 0.4% |
feature79
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 233 | 256 |
| Distinct (%) | 85.3% | 93.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.016395131 | 0.045389356 |
| Train | Val | |
|---|---|---|
| Minimum | -1.6287683 | -2.9107365 |
| Maximum | 8.2882628 | 9.1584629 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 175 | 160 |
| Negative (%) | 64.1% | 58.6% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.6287683 | -2.9107365 |
| 5-th percentile | -1.0698504 | -1.1605693 |
| Q1 | -0.47383279 | -0.51190655 |
| median | -0.10535997 | -0.081927196 |
| Q3 | 0.14531048 | 0.48543935 |
| 95-th percentile | 0.84412501 | 1.3627763 |
| Maximum | 8.2882628 | 9.1584629 |
| Range | 9.9170311 | 12.069199 |
| Interquartile range (IQR) | 0.61914328 | 0.9973459 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.115212 | 1.1202207 |
| Coefficient of variation (CV) | -68.020929 | 24.680252 |
| Kurtosis | 31.197644 | 20.134135 |
| Mean | -0.016395131 | 0.045389356 |
| Median Absolute Deviation (MAD) | 0.30051049 | 0.47127614 |
| Skewness | 4.9447111 | 3.2302568 |
| Sum | -4.4758707 | 12.391294 |
| Variance | 1.2436979 | 1.2548945 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.105359974 | 33 | 12.1% |
| 0.621946487 | 3 | 1.1% |
| -0.685666711 | 3 | 1.1% |
| 0.598802891 | 2 | 0.7% |
| -1.113823245 | 2 | 0.7% |
| -1.628768265 | 2 | 0.7% |
| 0.581445193 | 2 | 0.7% |
| -0.198491692 | 1 | 0.4% |
| 4.868796432 | 1 | 0.4% |
| 0.134895286 | 1 | 0.4% |
| Other values (223) | 223 |
| Value | Count | Frequency (%) |
| -0.081927196 | 18 | 6.6% |
| -1.144369313 | 1 | 0.4% |
| 0.608177132 | 1 | 0.4% |
| -0.004123358 | 1 | 0.4% |
| -0.51596874 | 1 | 0.4% |
| -0.26232275 | 1 | 0.4% |
| -0.521060132 | 1 | 0.4% |
| 0.785803331 | 1 | 0.4% |
| 0.051656162 | 1 | 0.4% |
| -0.059159381 | 1 | 0.4% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| -1.628768265 | 2 | |
| -1.617196467 | 1 | |
| -1.53619388 | 1 | |
| -1.507264384 | 1 | |
| -1.21218353 | 1 | |
| -1.165896337 | 1 | |
| -1.160110438 | 1 | |
| -1.125395043 | 1 | |
| -1.113823245 | 2 | |
| -1.102251447 | 1 |
| Value | Count | Frequency (%) |
| -2.9107365 | 1 | |
| -2.104827885 | 1 | |
| -1.83408642 | 1 | |
| -1.756779774 | 1 | |
| -1.672206867 | 1 | |
| -1.584775543 | 1 | |
| -1.479159639 | 1 | |
| -1.355701198 | 1 | |
| -1.328126283 | 1 | |
| -1.295463204 | 1 |
| Value | Count | Frequency (%) |
| -2.9107365 | 1 | |
| -2.104827885 | 1 | |
| -1.83408642 | 1 | |
| -1.756779774 | 1 | |
| -1.672206867 | 1 | |
| -1.584775543 | 1 | |
| -1.479159639 | 1 | |
| -1.355701198 | 1 | |
| -1.328126283 | 1 | |
| -1.295463204 | 1 |
| Value | Count | Frequency (%) |
| -1.628768265 | 2 | |
| -1.617196467 | 1 | |
| -1.53619388 | 1 | |
| -1.507264384 | 1 | |
| -1.21218353 | 1 | |
| -1.165896337 | 1 | |
| -1.160110438 | 1 | |
| -1.125395043 | 1 | |
| -1.113823245 | 2 | |
| -1.102251447 | 1 |
feature80
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 8 | 8 |
| Distinct (%) | 2.9% | 2.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.07346236 | -0.069034526 |
| Train | Val | |
|---|---|---|
| Minimum | -11.129844 | -11.33029 |
| Maximum | 4.2087014 | 0.90389439 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 5 | 4 |
| Negative (%) | 1.8% | 1.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -11.129844 | -11.33029 |
| 5-th percentile | 0.043626424 | 0.064168443 |
| Q1 | 0.043626424 | 0.064168443 |
| median | 0.043626424 | 0.064168443 |
| Q3 | 0.043626424 | 0.064168443 |
| 95-th percentile | 0.043626424 | 0.064168443 |
| Maximum | 4.2087014 | 0.90389439 |
| Range | 15.338546 | 12.234185 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.1084848 | 1.1808177 |
| Coefficient of variation (CV) | -15.089153 | -17.104742 |
| Kurtosis | 70.092458 | 76.02268 |
| Mean | -0.07346236 | -0.069034526 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | -7.8160473 | -8.6859484 |
| Sum | -20.055224 | -18.846426 |
| Variance | 1.2287384 | 1.3943305 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0.043626424 | 266 | |
| -11.12984447 | 1 | 0.4% |
| 0.237849434 | 1 | 0.4% |
| -1.858975555 | 1 | 0.4% |
| -9.740645363 | 1 | 0.4% |
| -8.381619075 | 1 | 0.4% |
| 4.208701403 | 1 | 0.4% |
| -4.995319378 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.064168443 | 266 | |
| 0.05076535 | 1 | 0.4% |
| -10.15063712 | 1 | 0.4% |
| -10.89604467 | 1 | 0.4% |
| -11.33029037 | 1 | 0.4% |
| -5.280945337 | 1 | 0.4% |
| 0.903894388 | 1 | 0.4% |
| 0.788026301 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.12984447 | 1 | 0.4% |
| -9.740645363 | 1 | 0.4% |
| -8.381619075 | 1 | 0.4% |
| -4.995319378 | 1 | 0.4% |
| -1.858975555 | 1 | 0.4% |
| 0.043626424 | 266 | |
| 0.237849434 | 1 | 0.4% |
| 4.208701403 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.33029037 | 1 | 0.4% |
| -10.89604467 | 1 | 0.4% |
| -10.15063712 | 1 | 0.4% |
| -5.280945337 | 1 | 0.4% |
| 0.05076535 | 1 | 0.4% |
| 0.064168443 | 266 | |
| 0.788026301 | 1 | 0.4% |
| 0.903894388 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.33029037 | 1 | 0.4% |
| -10.89604467 | 1 | 0.4% |
| -10.15063712 | 1 | 0.4% |
| -5.280945337 | 1 | 0.4% |
| 0.05076535 | 1 | 0.4% |
| 0.064168443 | 266 | |
| 0.788026301 | 1 | 0.4% |
| 0.903894388 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.12984447 | 1 | 0.4% |
| -9.740645363 | 1 | 0.4% |
| -8.381619075 | 1 | 0.4% |
| -4.995319378 | 1 | 0.4% |
| -1.858975555 | 1 | 0.4% |
| 0.043626424 | 266 | |
| 0.237849434 | 1 | 0.4% |
| 4.208701403 | 1 | 0.4% |
feature81
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 244 | 258 |
| Distinct (%) | 89.4% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.11224901 | -0.064471257 |
| Train | Val | |
|---|---|---|
| Minimum | -2.4397923 | -2.0410384 |
| Maximum | 5.9822387 | 6.4665933 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 180 | 170 |
| Negative (%) | 65.9% | 62.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.4397923 | -2.0410384 |
| 5-th percentile | -0.99597006 | -1.0262141 |
| Q1 | -0.49673676 | -0.51984247 |
| median | -0.10462807 | -0.14587306 |
| Q3 | 0.21251783 | 0.20884926 |
| 95-th percentile | 0.74000604 | 1.2254977 |
| Maximum | 5.9822387 | 6.4665933 |
| Range | 8.4220311 | 8.5076317 |
| Interquartile range (IQR) | 0.70925459 | 0.72869173 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.73122841 | 0.80002033 |
| Coefficient of variation (CV) | -6.514342 | -12.408946 |
| Kurtosis | 20.084156 | 17.39836 |
| Mean | -0.11224901 | -0.064471257 |
| Median Absolute Deviation (MAD) | 0.36399086 | 0.36052838 |
| Skewness | 2.6941863 | 2.694795 |
| Sum | -30.643978 | -17.600653 |
| Variance | 0.53469499 | 0.64003253 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.089015777 | 30 | 11.0% |
| 0.322170501 | 1 | 0.4% |
| -0.489889848 | 1 | 0.4% |
| 0.03995917 | 1 | 0.4% |
| -0.499243558 | 1 | 0.4% |
| -0.200748337 | 1 | 0.4% |
| 0.272894465 | 1 | 0.4% |
| -0.332914086 | 1 | 0.4% |
| -0.330871319 | 1 | 0.4% |
| 0.666309964 | 1 | 0.4% |
| Other values (234) | 234 |
| Value | Count | Frequency (%) |
| -0.145873055 | 16 | 5.9% |
| 0.332921673 | 1 | 0.4% |
| -0.574398874 | 1 | 0.4% |
| -0.109789407 | 1 | 0.4% |
| -0.615915006 | 1 | 0.4% |
| 0.197129313 | 1 | 0.4% |
| -0.447102283 | 1 | 0.4% |
| 0.067085897 | 1 | 0.4% |
| -0.929732931 | 1 | 0.4% |
| -0.448143556 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -2.43979231 | 1 | |
| -2.034412677 | 1 | |
| -1.620207013 | 1 | |
| -1.598845861 | 1 | |
| -1.398572967 | 1 | |
| -1.366719168 | 1 | |
| -1.302163199 | 1 | |
| -1.296389386 | 1 | |
| -1.235360741 | 1 | |
| -1.164484073 | 1 |
| Value | Count | Frequency (%) |
| -2.041038396 | 1 | |
| -2.036653524 | 1 | |
| -1.466208209 | 1 | |
| -1.358696379 | 1 | |
| -1.291028669 | 1 | |
| -1.269869723 | 1 | |
| -1.2364545 | 1 | |
| -1.235072989 | 1 | |
| -1.16673111 | 1 | |
| -1.104086447 | 1 |
| Value | Count | Frequency (%) |
| -2.041038396 | 1 | |
| -2.036653524 | 1 | |
| -1.466208209 | 1 | |
| -1.358696379 | 1 | |
| -1.291028669 | 1 | |
| -1.269869723 | 1 | |
| -1.2364545 | 1 | |
| -1.235072989 | 1 | |
| -1.16673111 | 1 | |
| -1.104086447 | 1 |
| Value | Count | Frequency (%) |
| -2.43979231 | 1 | |
| -2.034412677 | 1 | |
| -1.620207013 | 1 | |
| -1.598845861 | 1 | |
| -1.398572967 | 1 | |
| -1.366719168 | 1 | |
| -1.302163199 | 1 | |
| -1.296389386 | 1 | |
| -1.235360741 | 1 | |
| -1.164484073 | 1 |
feature82
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 237 | 261 |
| Distinct (%) | 86.8% | 95.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.00047787268 | 0.001828924 |
| Train | Val | |
|---|---|---|
| Minimum | -1.7784543 | -1.8917351 |
| Maximum | 6.2879843 | 8.7104097 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 165 | 154 |
| Negative (%) | 60.4% | 56.4% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.7784543 | -1.8917351 |
| 5-th percentile | -1.0886503 | -1.176319 |
| Q1 | -0.39482242 | -0.5938417 |
| median | -0.093420233 | -0.056093307 |
| Q3 | 0.26236179 | 0.35892134 |
| 95-th percentile | 0.99019868 | 1.333776 |
| Maximum | 6.2879843 | 8.7104097 |
| Range | 8.0664386 | 10.602145 |
| Interquartile range (IQR) | 0.65718422 | 0.95276304 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.86273555 | 1.0351805 |
| Coefficient of variation (CV) | 1805.367 | 566.0052 |
| Kurtosis | 18.35355 | 23.311993 |
| Mean | 0.00047787268 | 0.001828924 |
| Median Absolute Deviation (MAD) | 0.31683027 | 0.49027573 |
| Skewness | 3.2340568 | 3.5339475 |
| Sum | 0.13045924 | 0.49929625 |
| Variance | 0.74431263 | 1.0715986 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.093420233 | 37 | 13.6% |
| 0.52317404 | 1 | 0.4% |
| 4.949489851 | 1 | 0.4% |
| 0.687648483 | 1 | 0.4% |
| 0.216949209 | 1 | 0.4% |
| 0.592133079 | 1 | 0.4% |
| 0.084182479 | 1 | 0.4% |
| -1.202717109 | 1 | 0.4% |
| 0.092606248 | 1 | 0.4% |
| -0.063596368 | 1 | 0.4% |
| Other values (227) | 227 |
| Value | Count | Frequency (%) |
| -0.056093307 | 13 | 4.8% |
| -0.236645663 | 1 | 0.4% |
| 0.101673788 | 1 | 0.4% |
| -0.916547874 | 1 | 0.4% |
| -0.597067419 | 1 | 0.4% |
| -1.11158636 | 1 | 0.4% |
| -1.81943493 | 1 | 0.4% |
| 0.96086385 | 1 | 0.4% |
| -0.805973774 | 1 | 0.4% |
| 0.708221919 | 1 | 0.4% |
| Other values (251) | 251 |
| Value | Count | Frequency (%) |
| -1.778454319 | 1 | |
| -1.610464625 | 1 | |
| -1.575123871 | 1 | |
| -1.415531748 | 1 | |
| -1.39113739 | 1 | |
| -1.385642661 | 1 | |
| -1.202717109 | 1 | |
| -1.163370702 | 1 | |
| -1.161848947 | 1 | |
| -1.157860773 | 1 |
| Value | Count | Frequency (%) |
| -1.891735135 | 1 | |
| -1.81943493 | 1 | |
| -1.664080514 | 1 | |
| -1.509985746 | 1 | |
| -1.503681129 | 1 | |
| -1.315054161 | 1 | |
| -1.286973739 | 1 | |
| -1.284373351 | 1 | |
| -1.238382378 | 1 | |
| -1.22414991 | 1 |
| Value | Count | Frequency (%) |
| -1.891735135 | 1 | |
| -1.81943493 | 1 | |
| -1.664080514 | 1 | |
| -1.509985746 | 1 | |
| -1.503681129 | 1 | |
| -1.315054161 | 1 | |
| -1.286973739 | 1 | |
| -1.284373351 | 1 | |
| -1.238382378 | 1 | |
| -1.22414991 | 1 |
| Value | Count | Frequency (%) |
| -1.778454319 | 1 | |
| -1.610464625 | 1 | |
| -1.575123871 | 1 | |
| -1.415531748 | 1 | |
| -1.39113739 | 1 | |
| -1.385642661 | 1 | |
| -1.202717109 | 1 | |
| -1.163370702 | 1 | |
| -1.161848947 | 1 | |
| -1.157860773 | 1 |
feature83
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 249 | 254 |
| Distinct (%) | 91.2% | 93.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.092916249 | -0.044138507 |
| Train | Val | |
|---|---|---|
| Minimum | -1.8061471 | -1.8023635 |
| Maximum | 8.0305936 | 6.1110325 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 200 | 188 |
| Negative (%) | 73.3% | 68.9% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.8061471 | -1.8023635 |
| 5-th percentile | -0.72302399 | -0.75465437 |
| Q1 | -0.55783394 | -0.5405416 |
| median | -0.29079588 | -0.27106574 |
| Q3 | 0.040385952 | 0.13734576 |
| 95-th percentile | 1.3341291 | 1.2702966 |
| Maximum | 8.0305936 | 6.1110325 |
| Range | 9.8367407 | 7.913396 |
| Interquartile range (IQR) | 0.59821989 | 0.67788736 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.87373601 | 0.9004846 |
| Coefficient of variation (CV) | -9.4034791 | -20.401338 |
| Kurtosis | 33.77259 | 15.373047 |
| Mean | -0.092916249 | -0.044138507 |
| Median Absolute Deviation (MAD) | 0.27741145 | 0.3030261 |
| Skewness | 4.627858 | 3.3591285 |
| Sum | -25.366136 | -12.049812 |
| Variance | 0.76341462 | 0.81087251 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.29079588 | 25 | 9.2% |
| -0.203148854 | 1 | 0.4% |
| 0.222765782 | 1 | 0.4% |
| 0.292199488 | 1 | 0.4% |
| -0.098889099 | 1 | 0.4% |
| -0.320998937 | 1 | 0.4% |
| 0.366029524 | 1 | 0.4% |
| 2.256524404 | 1 | 0.4% |
| 0.079414767 | 1 | 0.4% |
| 1.13155949 | 1 | 0.4% |
| Other values (239) | 239 |
| Value | Count | Frequency (%) |
| -0.271065738 | 20 | 7.3% |
| -0.399698765 | 1 | 0.4% |
| -0.750449663 | 1 | 0.4% |
| 0.386524076 | 1 | 0.4% |
| 1.072723627 | 1 | 0.4% |
| -0.270871137 | 1 | 0.4% |
| -0.494632064 | 1 | 0.4% |
| 0.449104997 | 1 | 0.4% |
| -0.641150421 | 1 | 0.4% |
| -0.759150723 | 1 | 0.4% |
| Other values (244) | 244 |
| Value | Count | Frequency (%) |
| -1.806147077 | 1 | |
| -1.489059475 | 1 | |
| -0.759013891 | 1 | |
| -0.755551231 | 1 | |
| -0.755203289 | 1 | |
| -0.755044949 | 1 | |
| -0.743465964 | 1 | |
| -0.740572898 | 1 | |
| -0.740450489 | 1 | |
| -0.738843285 | 1 |
| Value | Count | Frequency (%) |
| -1.802363484 | 1 | |
| -1.547374236 | 1 | |
| -0.872569121 | 1 | |
| -0.780865949 | 1 | |
| -0.776402527 | 1 | |
| -0.775231967 | 1 | |
| -0.775075572 | 1 | |
| -0.772759117 | 1 | |
| -0.766366112 | 1 | |
| -0.764602448 | 1 |
| Value | Count | Frequency (%) |
| -1.802363484 | 1 | |
| -1.547374236 | 1 | |
| -0.872569121 | 1 | |
| -0.780865949 | 1 | |
| -0.776402527 | 1 | |
| -0.775231967 | 1 | |
| -0.775075572 | 1 | |
| -0.772759117 | 1 | |
| -0.766366112 | 1 | |
| -0.764602448 | 1 |
| Value | Count | Frequency (%) |
| -1.806147077 | 1 | |
| -1.489059475 | 1 | |
| -0.759013891 | 1 | |
| -0.755551231 | 1 | |
| -0.755203289 | 1 | |
| -0.755044949 | 1 | |
| -0.743465964 | 1 | |
| -0.740572898 | 1 | |
| -0.740450489 | 1 | |
| -0.738843285 | 1 |
feature84
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 239 | 257 |
| Distinct (%) | 87.5% | 94.1% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.0517486 | 0.046853129 |
| Train | Val | |
|---|---|---|
| Minimum | -2.0277444 | -2.2463188 |
| Maximum | 7.6704362 | 9.412115 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 159 | 149 |
| Negative (%) | 58.2% | 54.6% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.0277444 | -2.2463188 |
| 5-th percentile | -0.94474662 | -1.2176519 |
| Q1 | -0.43991075 | -0.47684928 |
| median | -0.089796033 | -0.060194478 |
| Q3 | 0.29838694 | 0.4094977 |
| 95-th percentile | 1.0858199 | 1.2830447 |
| Maximum | 7.6704362 | 9.412115 |
| Range | 9.6981806 | 11.658434 |
| Interquartile range (IQR) | 0.73829769 | 0.88634698 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.004391 | 1.0460489 |
| Coefficient of variation (CV) | 19.409047 | 22.326128 |
| Kurtosis | 26.089698 | 27.905521 |
| Mean | 0.0517486 | 0.046853129 |
| Median Absolute Deviation (MAD) | 0.36382843 | 0.4554226 |
| Skewness | 4.1750898 | 3.7256401 |
| Sum | 14.127368 | 12.790904 |
| Variance | 1.0088013 | 1.0942184 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.089796033 | 35 | 12.8% |
| 0.303270204 | 1 | 0.4% |
| -0.571135445 | 1 | 0.4% |
| -0.69903147 | 1 | 0.4% |
| -0.631191143 | 1 | 0.4% |
| 1.211627607 | 1 | 0.4% |
| -1.710772685 | 1 | 0.4% |
| -0.38608342 | 1 | 0.4% |
| 1.068388448 | 1 | 0.4% |
| 0.217192032 | 1 | 0.4% |
| Other values (229) | 229 |
| Value | Count | Frequency (%) |
| -0.060194478 | 17 | 6.2% |
| -0.535949064 | 1 | 0.4% |
| -0.583246827 | 1 | 0.4% |
| -0.581421268 | 1 | 0.4% |
| -0.116964905 | 1 | 0.4% |
| -1.485286665 | 1 | 0.4% |
| 0.418429714 | 1 | 0.4% |
| 1.238307793 | 1 | 0.4% |
| -0.000663033 | 1 | 0.4% |
| 0.282000657 | 1 | 0.4% |
| Other values (247) | 247 |
| Value | Count | Frequency (%) |
| -2.0277444 | 1 | |
| -1.710772685 | 1 | |
| -1.594745918 | 1 | |
| -1.402374813 | 1 | |
| -1.326773135 | 1 | |
| -1.14309226 | 1 | |
| -1.137588817 | 1 | |
| -1.079866401 | 1 | |
| -1.062940404 | 1 | |
| -1.038349491 | 1 |
| Value | Count | Frequency (%) |
| -2.246318751 | 1 | |
| -1.84666349 | 1 | |
| -1.643787745 | 1 | |
| -1.543238637 | 1 | |
| -1.515589013 | 1 | |
| -1.485286665 | 1 | |
| -1.455410057 | 1 | |
| -1.432602804 | 1 | |
| -1.391212216 | 1 | |
| -1.382547671 | 1 |
| Value | Count | Frequency (%) |
| -2.246318751 | 1 | |
| -1.84666349 | 1 | |
| -1.643787745 | 1 | |
| -1.543238637 | 1 | |
| -1.515589013 | 1 | |
| -1.485286665 | 1 | |
| -1.455410057 | 1 | |
| -1.432602804 | 1 | |
| -1.391212216 | 1 | |
| -1.382547671 | 1 |
| Value | Count | Frequency (%) |
| -2.0277444 | 1 | |
| -1.710772685 | 1 | |
| -1.594745918 | 1 | |
| -1.402374813 | 1 | |
| -1.326773135 | 1 | |
| -1.14309226 | 1 | |
| -1.137588817 | 1 | |
| -1.079866401 | 1 | |
| -1.062940404 | 1 | |
| -1.038349491 | 1 |
feature85
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 254 | 258 |
| Distinct (%) | 93.0% | 94.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.057798602 | -0.060385851 |
| Train | Val | |
|---|---|---|
| Minimum | -0.45693002 | -0.2824671 |
| Maximum | 8.4549433 | 3.0718733 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 244 | 258 |
| Negative (%) | 89.4% | 94.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.45693002 | -0.2824671 |
| 5-th percentile | -0.30549291 | -0.26932798 |
| Q1 | -0.26302538 | -0.2557593 |
| median | -0.23696238 | -0.24399804 |
| Q3 | -0.20517264 | -0.2324031 |
| 95-th percentile | 2.6812761 | 3.0468269 |
| Maximum | 8.4549433 | 3.0718733 |
| Range | 8.9118733 | 3.3543404 |
| Interquartile range (IQR) | 0.057852735 | 0.023356201 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0644497 | 0.75366971 |
| Coefficient of variation (CV) | 18.41653 | -12.480899 |
| Kurtosis | 22.150555 | 13.478815 |
| Mean | 0.057798602 | -0.060385851 |
| Median Absolute Deviation (MAD) | 0.029704655 | 0.011708105 |
| Skewness | 4.3415059 | 3.9183435 |
| Sum | 15.779018 | -16.485337 |
| Variance | 1.1330531 | 0.56801803 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.236962375 | 20 | 7.3% |
| -0.268409774 | 1 | 0.4% |
| 0.234296798 | 1 | 0.4% |
| -0.226526351 | 1 | 0.4% |
| -0.268586184 | 1 | 0.4% |
| -0.276191015 | 1 | 0.4% |
| -0.264905088 | 1 | 0.4% |
| -0.309292899 | 1 | 0.4% |
| -0.214112407 | 1 | 0.4% |
| -0.231603605 | 1 | 0.4% |
| Other values (244) | 244 |
| Value | Count | Frequency (%) |
| -0.243998035 | 16 | 5.9% |
| -0.230924869 | 1 | 0.4% |
| -0.259130185 | 1 | 0.4% |
| -0.210282579 | 1 | 0.4% |
| -0.232831679 | 1 | 0.4% |
| -0.222112181 | 1 | 0.4% |
| -0.246026793 | 1 | 0.4% |
| -0.231456263 | 1 | 0.4% |
| -0.248356278 | 1 | 0.4% |
| -0.240961404 | 1 | 0.4% |
| Other values (248) | 248 |
| Value | Count | Frequency (%) |
| -0.456930019 | 1 | |
| -0.37480142 | 1 | |
| -0.358521455 | 1 | |
| -0.337965731 | 1 | |
| -0.331376407 | 1 | |
| -0.327224032 | 1 | |
| -0.327095983 | 1 | |
| -0.31702862 | 1 | |
| -0.316323177 | 1 | |
| -0.313088917 | 1 |
| Value | Count | Frequency (%) |
| -0.2824671 | 1 | |
| -0.27858239 | 1 | |
| -0.277525864 | 1 | |
| -0.27667242 | 1 | |
| -0.276642093 | 1 | |
| -0.276059679 | 1 | |
| -0.274845102 | 1 | |
| -0.273816079 | 1 | |
| -0.273476465 | 1 | |
| -0.27209797 | 1 |
| Value | Count | Frequency (%) |
| -0.2824671 | 1 | |
| -0.27858239 | 1 | |
| -0.277525864 | 1 | |
| -0.27667242 | 1 | |
| -0.276642093 | 1 | |
| -0.276059679 | 1 | |
| -0.274845102 | 1 | |
| -0.273816079 | 1 | |
| -0.273476465 | 1 | |
| -0.27209797 | 1 |
| Value | Count | Frequency (%) |
| -0.456930019 | 1 | |
| -0.37480142 | 1 | |
| -0.358521455 | 1 | |
| -0.337965731 | 1 | |
| -0.331376407 | 1 | |
| -0.327224032 | 1 | |
| -0.327095983 | 1 | |
| -0.31702862 | 1 | |
| -0.316323177 | 1 | |
| -0.313088917 | 1 |
feature86
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 234 | 260 |
| Distinct (%) | 85.7% | 95.2% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.031207697 | 0.042667391 |
| Train | Val | |
|---|---|---|
| Minimum | -2.2739149 | -3.3375149 |
| Maximum | 5.7020168 | 8.127614 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 167 | 138 |
| Negative (%) | 61.2% | 50.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.2739149 | -3.3375149 |
| 5-th percentile | -1.0319377 | -1.3540319 |
| Q1 | -0.41863382 | -0.40897162 |
| median | -0.087718398 | -0.00838541 |
| Q3 | 0.23419184 | 0.58661384 |
| 95-th percentile | 0.87459028 | 1.2534776 |
| Maximum | 5.7020168 | 8.127614 |
| Range | 7.9759318 | 11.465129 |
| Interquartile range (IQR) | 0.65282566 | 0.99558547 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.7646529 | 0.93633311 |
| Coefficient of variation (CV) | -24.502061 | 21.944935 |
| Kurtosis | 21.824602 | 20.050236 |
| Mean | -0.031207697 | 0.042667391 |
| Median Absolute Deviation (MAD) | 0.33091542 | 0.49941657 |
| Skewness | 3.1324102 | 2.1007467 |
| Sum | -8.5197014 | 11.648198 |
| Variance | 0.58469405 | 0.8767197 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.087718398 | 40 | 14.7% |
| 0.213667849 | 1 | 0.4% |
| 0.140766008 | 1 | 0.4% |
| 1.180783626 | 1 | 0.4% |
| -0.047357563 | 1 | 0.4% |
| 0.29807581 | 1 | 0.4% |
| -0.186654077 | 1 | 0.4% |
| -0.422046533 | 1 | 0.4% |
| 0.613874708 | 1 | 0.4% |
| 0.447690167 | 1 | 0.4% |
| Other values (224) | 224 |
| Value | Count | Frequency (%) |
| -0.026985953 | 14 | 5.1% |
| -0.106615149 | 1 | 0.4% |
| -0.859820155 | 1 | 0.4% |
| 1.316903704 | 1 | 0.4% |
| -1.22046978 | 1 | 0.4% |
| -0.374985337 | 1 | 0.4% |
| 0.751991691 | 1 | 0.4% |
| 0.585747185 | 1 | 0.4% |
| -0.499503092 | 1 | 0.4% |
| 0.047811508 | 1 | 0.4% |
| Other values (250) | 250 |
| Value | Count | Frequency (%) |
| -2.273914948 | 1 | |
| -1.571440487 | 1 | |
| -1.414253611 | 1 | |
| -1.320274898 | 1 | |
| -1.296728299 | 1 | |
| -1.275904013 | 1 | |
| -1.229057788 | 1 | |
| -1.149128452 | 1 | |
| -1.082855582 | 1 | |
| -1.067268239 | 1 |
| Value | Count | Frequency (%) |
| -3.337514856 | 1 | |
| -2.335573788 | 1 | |
| -2.013916037 | 1 | |
| -1.86712448 | 1 | |
| -1.853601527 | 1 | |
| -1.841655505 | 1 | |
| -1.63817163 | 1 | |
| -1.633246931 | 1 | |
| -1.509583961 | 1 | |
| -1.475980079 | 1 |
| Value | Count | Frequency (%) |
| -3.337514856 | 1 | |
| -2.335573788 | 1 | |
| -2.013916037 | 1 | |
| -1.86712448 | 1 | |
| -1.853601527 | 1 | |
| -1.841655505 | 1 | |
| -1.63817163 | 1 | |
| -1.633246931 | 1 | |
| -1.509583961 | 1 | |
| -1.475980079 | 1 |
| Value | Count | Frequency (%) |
| -2.273914948 | 1 | |
| -1.571440487 | 1 | |
| -1.414253611 | 1 | |
| -1.320274898 | 1 | |
| -1.296728299 | 1 | |
| -1.275904013 | 1 | |
| -1.229057788 | 1 | |
| -1.149128452 | 1 | |
| -1.082855582 | 1 | |
| -1.067268239 | 1 |
feature87
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.083301559 | 0.025905787 |
| Train | Val | |
|---|---|---|
| Minimum | -1.5737086 | -1.5701385 |
| Maximum | 7.1543796 | 9.7258061 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 150 | 148 |
| Negative (%) | 54.9% | 54.2% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.5737086 | -1.5701385 |
| 5-th percentile | -0.95445546 | -1.1565096 |
| Q1 | -0.45423453 | -0.47817271 |
| median | -0.076972744 | -0.082898314 |
| Q3 | 0.42685874 | 0.35315745 |
| 95-th percentile | 1.1026745 | 1.2128498 |
| Maximum | 7.1543796 | 9.7258061 |
| Range | 8.7280883 | 11.295945 |
| Interquartile range (IQR) | 0.88109327 | 0.83133015 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0668057 | 1.0922964 |
| Coefficient of variation (CV) | 12.806551 | 42.164185 |
| Kurtosis | 20.665757 | 29.711362 |
| Mean | 0.083301559 | 0.025905787 |
| Median Absolute Deviation (MAD) | 0.44290405 | 0.43254679 |
| Skewness | 3.8124835 | 4.2798316 |
| Sum | 22.741326 | 7.0722799 |
| Variance | 1.1380744 | 1.1931114 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.772526463 | 1 | 0.4% |
| -0.86922338 | 1 | 0.4% |
| 0.182950678 | 1 | 0.4% |
| -0.356894086 | 1 | 0.4% |
| -1.109015023 | 1 | 0.4% |
| 0.025787113 | 1 | 0.4% |
| -0.23880675 | 1 | 0.4% |
| -0.034586252 | 1 | 0.4% |
| 0.187396067 | 1 | 0.4% |
| 0.786608787 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 0.537546309 | 1 | 0.4% |
| -0.413256074 | 1 | 0.4% |
| 0.078856893 | 1 | 0.4% |
| -0.192689349 | 1 | 0.4% |
| 0.075844151 | 1 | 0.4% |
| 0.216888615 | 1 | 0.4% |
| 0.013597746 | 1 | 0.4% |
| 0.061847792 | 1 | 0.4% |
| 0.429760807 | 1 | 0.4% |
| -0.705621722 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.573708644 | 1 | |
| -1.444464974 | 1 | |
| -1.372542475 | 1 | |
| -1.353408506 | 1 | |
| -1.309443053 | 1 | |
| -1.306259825 | 1 | |
| -1.290297551 | 1 | |
| -1.173855993 | 1 | |
| -1.109015023 | 1 | |
| -1.038828306 | 1 |
| Value | Count | Frequency (%) |
| -1.570138549 | 1 | |
| -1.522479893 | 1 | |
| -1.501327403 | 1 | |
| -1.449889248 | 1 | |
| -1.426495224 | 1 | |
| -1.377999747 | 1 | |
| -1.344012017 | 1 | |
| -1.319655942 | 1 | |
| -1.300773422 | 1 | |
| -1.217238821 | 1 |
| Value | Count | Frequency (%) |
| -1.570138549 | 1 | |
| -1.522479893 | 1 | |
| -1.501327403 | 1 | |
| -1.449889248 | 1 | |
| -1.426495224 | 1 | |
| -1.377999747 | 1 | |
| -1.344012017 | 1 | |
| -1.319655942 | 1 | |
| -1.300773422 | 1 | |
| -1.217238821 | 1 |
| Value | Count | Frequency (%) |
| -1.573708644 | 1 | |
| -1.444464974 | 1 | |
| -1.372542475 | 1 | |
| -1.353408506 | 1 | |
| -1.309443053 | 1 | |
| -1.306259825 | 1 | |
| -1.290297551 | 1 | |
| -1.173855993 | 1 | |
| -1.109015023 | 1 | |
| -1.038828306 | 1 |
feature88
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 7 | 7 |
| Distinct (%) | 2.6% | 2.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.069690418 | -0.036572783 |
| Train | Val | |
|---|---|---|
| Minimum | -5.5383569 | -13.182432 |
| Maximum | 6.799403 | 7.1357845 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 2 | 3 |
| Negative (%) | 0.7% | 1.1% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -5.5383569 | -13.182432 |
| 5-th percentile | 0.050139981 | 0.028917179 |
| Q1 | 0.050139981 | 0.028917179 |
| median | 0.050139981 | 0.028917179 |
| Q3 | 0.050139981 | 0.028917179 |
| 95-th percentile | 0.050139981 | 0.028917179 |
| Maximum | 6.799403 | 7.1357845 |
| Range | 12.33776 | 20.318216 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.63665808 | 1.3063149 |
| Coefficient of variation (CV) | 9.1355181 | -35.718224 |
| Kurtosis | 76.048513 | 67.640028 |
| Mean | 0.069690418 | -0.036572783 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | 2.4538194 | -5.945994 |
| Sum | 19.025484 | -9.9843699 |
| Variance | 0.40533351 | 1.7064585 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0.050139981 | 267 | |
| 1.327038242 | 1 | 0.4% |
| 2.136910185 | 1 | 0.4% |
| -3.235039973 | 1 | 0.4% |
| 4.148154693 | 1 | 0.4% |
| 6.799403004 | 1 | 0.4% |
| -5.538356943 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.028917179 | 267 | |
| 7.135784526 | 1 | 0.4% |
| -8.28972912 | 1 | 0.4% |
| 1.304320771 | 1 | 0.4% |
| 6.558971858 | 1 | 0.4% |
| -13.18243192 | 1 | 0.4% |
| -11.23217278 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -5.538356943 | 1 | 0.4% |
| -3.235039973 | 1 | 0.4% |
| 0.050139981 | 267 | |
| 1.327038242 | 1 | 0.4% |
| 2.136910185 | 1 | 0.4% |
| 4.148154693 | 1 | 0.4% |
| 6.799403004 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -13.18243192 | 1 | 0.4% |
| -11.23217278 | 1 | 0.4% |
| -8.28972912 | 1 | 0.4% |
| 0.028917179 | 267 | |
| 1.304320771 | 1 | 0.4% |
| 6.558971858 | 1 | 0.4% |
| 7.135784526 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -13.18243192 | 1 | 0.4% |
| -11.23217278 | 1 | 0.4% |
| -8.28972912 | 1 | 0.4% |
| 0.028917179 | 267 | |
| 1.304320771 | 1 | 0.4% |
| 6.558971858 | 1 | 0.4% |
| 7.135784526 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -5.538356943 | 1 | 0.4% |
| -3.235039973 | 1 | 0.4% |
| 0.050139981 | 267 | |
| 1.327038242 | 1 | 0.4% |
| 2.136910185 | 1 | 0.4% |
| 4.148154693 | 1 | 0.4% |
| 6.799403004 | 1 | 0.4% |
feature89
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.061654539 | 0.050516818 |
| Train | Val | |
|---|---|---|
| Minimum | -1.7827844 | -2.8658228 |
| Maximum | 4.6846792 | 9.4642391 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 152 | 145 |
| Negative (%) | 55.7% | 53.1% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.7827844 | -2.8658228 |
| 5-th percentile | -1.1403408 | -1.1525471 |
| Q1 | -0.4491298 | -0.5158555 |
| median | -0.078193242 | -0.055202619 |
| Q3 | 0.29368999 | 0.47872213 |
| 95-th percentile | 0.78309441 | 1.3027762 |
| Maximum | 4.6846792 | 9.4642391 |
| Range | 6.4674636 | 12.330062 |
| Interquartile range (IQR) | 0.74281979 | 0.99457764 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.72768218 | 1.1200401 |
| Coefficient of variation (CV) | -11.802573 | 22.171629 |
| Kurtosis | 12.180339 | 25.959388 |
| Mean | -0.061654539 | 0.050516818 |
| Median Absolute Deviation (MAD) | 0.37188323 | 0.49906217 |
| Skewness | 2.0927513 | 3.7362171 |
| Sum | -16.831689 | 13.791091 |
| Variance | 0.52952136 | 1.2544899 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.133643571 | 1 | 0.4% |
| -0.750284983 | 1 | 0.4% |
| 1.221199604 | 1 | 0.4% |
| 0.300380936 | 1 | 0.4% |
| 0.248541797 | 1 | 0.4% |
| -0.552163353 | 1 | 0.4% |
| -1.336233192 | 1 | 0.4% |
| -0.941572307 | 1 | 0.4% |
| -0.582307746 | 1 | 0.4% |
| 0.037585683 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.220831892 | 1 | 0.4% |
| -1.173767188 | 1 | 0.4% |
| 0.703452149 | 1 | 0.4% |
| -0.237169899 | 1 | 0.4% |
| -0.515225181 | 1 | 0.4% |
| 0.526409639 | 1 | 0.4% |
| -0.44334556 | 1 | 0.4% |
| -0.735504205 | 1 | 0.4% |
| 0.014842647 | 1 | 0.4% |
| -0.333528338 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.782784386 | 1 | |
| -1.60571579 | 1 | |
| -1.591102743 | 1 | |
| -1.476690368 | 1 | |
| -1.380998216 | 1 | |
| -1.336233192 | 1 | |
| -1.316269896 | 1 | |
| -1.300934491 | 1 | |
| -1.269337482 | 1 | |
| -1.264312682 | 1 |
| Value | Count | Frequency (%) |
| -2.865822829 | 1 | |
| -2.153176085 | 1 | |
| -1.626288801 | 1 | |
| -1.618300412 | 1 | |
| -1.53389289 | 1 | |
| -1.522996819 | 1 | |
| -1.505647911 | 1 | |
| -1.389627542 | 1 | |
| -1.324715566 | 1 | |
| -1.295853276 | 1 |
| Value | Count | Frequency (%) |
| -2.865822829 | 1 | |
| -2.153176085 | 1 | |
| -1.626288801 | 1 | |
| -1.618300412 | 1 | |
| -1.53389289 | 1 | |
| -1.522996819 | 1 | |
| -1.505647911 | 1 | |
| -1.389627542 | 1 | |
| -1.324715566 | 1 | |
| -1.295853276 | 1 |
| Value | Count | Frequency (%) |
| -1.782784386 | 1 | |
| -1.60571579 | 1 | |
| -1.591102743 | 1 | |
| -1.476690368 | 1 | |
| -1.380998216 | 1 | |
| -1.336233192 | 1 | |
| -1.316269896 | 1 | |
| -1.300934491 | 1 | |
| -1.269337482 | 1 | |
| -1.264312682 | 1 |
feature90
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 242 | 263 |
| Distinct (%) | 88.6% | 96.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.083038835 | 0.076863747 |
| Train | Val | |
|---|---|---|
| Minimum | -0.93507907 | -0.83811565 |
| Maximum | 6.4893787 | 9.0694724 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 171 | 152 |
| Negative (%) | 62.6% | 55.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -0.93507907 | -0.83811565 |
| 5-th percentile | -0.85018097 | -0.7501942 |
| Q1 | -0.49797126 | -0.4059758 |
| median | -0.088369838 | -0.075450421 |
| Q3 | 0.21721584 | 0.27843739 |
| 95-th percentile | 0.66039318 | 0.54324206 |
| Maximum | 6.4893787 | 9.0694724 |
| Range | 7.4244577 | 9.9075881 |
| Interquartile range (IQR) | 0.7151871 | 0.68441319 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.67646507 | 1.2097914 |
| Coefficient of variation (CV) | -8.1463699 | 15.739428 |
| Kurtosis | 36.329478 | 37.267811 |
| Mean | -0.083038835 | 0.076863747 |
| Median Absolute Deviation (MAD) | 0.33413619 | 0.34909216 |
| Skewness | 4.3860226 | 5.787074 |
| Sum | -22.669602 | 20.983803 |
| Variance | 0.45760499 | 1.4635954 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.088369838 | 32 | 11.7% |
| -0.063664785 | 1 | 0.4% |
| -0.812289118 | 1 | 0.4% |
| 0.065389942 | 1 | 0.4% |
| -0.752204298 | 1 | 0.4% |
| -0.853837164 | 1 | 0.4% |
| 0.334125596 | 1 | 0.4% |
| 0.096814969 | 1 | 0.4% |
| 0.039943432 | 1 | 0.4% |
| 0.273050852 | 1 | 0.4% |
| Other values (232) | 232 |
| Value | Count | Frequency (%) |
| -0.107494765 | 11 | 4.0% |
| 0.1739206 | 1 | 0.4% |
| 0.533541252 | 1 | 0.4% |
| -0.719027224 | 1 | 0.4% |
| 0.142136636 | 1 | 0.4% |
| -0.215029755 | 1 | 0.4% |
| 0.454486581 | 1 | 0.4% |
| -0.314948749 | 1 | 0.4% |
| -0.829816653 | 1 | 0.4% |
| 0.407629612 | 1 | 0.4% |
| Other values (253) | 253 |
| Value | Count | Frequency (%) |
| -0.935079074 | 1 | |
| -0.921103598 | 1 | |
| -0.907998037 | 1 | |
| -0.904948472 | 1 | |
| -0.895288397 | 1 | |
| -0.89489803 | 1 | |
| -0.894625362 | 1 | |
| -0.891850066 | 1 | |
| -0.888386927 | 1 | |
| -0.868362118 | 1 |
| Value | Count | Frequency (%) |
| -0.838115651 | 1 | |
| -0.836369207 | 1 | |
| -0.83515512 | 1 | |
| -0.829816653 | 1 | |
| -0.814854419 | 1 | |
| -0.811459345 | 1 | |
| -0.804814463 | 1 | |
| -0.797617506 | 1 | |
| -0.794508941 | 1 | |
| -0.787259582 | 1 |
| Value | Count | Frequency (%) |
| -0.838115651 | 1 | |
| -0.836369207 | 1 | |
| -0.83515512 | 1 | |
| -0.829816653 | 1 | |
| -0.814854419 | 1 | |
| -0.811459345 | 1 | |
| -0.804814463 | 1 | |
| -0.797617506 | 1 | |
| -0.794508941 | 1 | |
| -0.787259582 | 1 |
| Value | Count | Frequency (%) |
| -0.935079074 | 1 | |
| -0.921103598 | 1 | |
| -0.907998037 | 1 | |
| -0.904948472 | 1 | |
| -0.895288397 | 1 | |
| -0.89489803 | 1 | |
| -0.894625362 | 1 | |
| -0.891850066 | 1 | |
| -0.888386927 | 1 | |
| -0.868362118 | 1 |
feature91
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.021040201 | 0.054869348 |
| Train | Val | |
|---|---|---|
| Minimum | -1.7072856 | -1.9321692 |
| Maximum | 7.0345322 | 8.3369748 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 162 | 143 |
| Negative (%) | 59.3% | 52.4% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.7072856 | -1.9321692 |
| 5-th percentile | -1.0122332 | -1.1388695 |
| Q1 | -0.48888122 | -0.51842645 |
| median | -0.17426966 | -0.060200209 |
| Q3 | 0.2739431 | 0.41527109 |
| 95-th percentile | 0.89075785 | 1.2490912 |
| Maximum | 7.0345322 | 8.3369748 |
| Range | 8.7418178 | 10.269144 |
| Interquartile range (IQR) | 0.76282432 | 0.93369754 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.99067001 | 1.0410949 |
| Coefficient of variation (CV) | -47.084627 | 18.974072 |
| Kurtosis | 23.792066 | 21.786915 |
| Mean | -0.021040201 | 0.054869348 |
| Median Absolute Deviation (MAD) | 0.3755445 | 0.4754713 |
| Skewness | 4.0850568 | 3.4115666 |
| Sum | -5.7439748 | 14.979332 |
| Variance | 0.98142706 | 1.0838787 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -1.517225626 | 1 | 0.4% |
| 0.254199414 | 1 | 0.4% |
| 0.46324349 | 1 | 0.4% |
| -0.18774423 | 1 | 0.4% |
| 0.449430323 | 1 | 0.4% |
| 0.90275883 | 1 | 0.4% |
| -0.235487833 | 1 | 0.4% |
| -0.541254909 | 1 | 0.4% |
| -0.67924722 | 1 | 0.4% |
| -0.599409087 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 1.040716129 | 1 | 0.4% |
| -0.229710587 | 1 | 0.4% |
| -0.040143359 | 1 | 0.4% |
| -1.001084691 | 1 | 0.4% |
| 1.013243988 | 1 | 0.4% |
| -0.129354858 | 1 | 0.4% |
| 0.236146961 | 1 | 0.4% |
| -0.495556527 | 1 | 0.4% |
| -0.645149914 | 1 | 0.4% |
| -0.994763506 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.707285641 | 1 | |
| -1.618983133 | 1 | |
| -1.517225626 | 1 | |
| -1.476931788 | 1 | |
| -1.457030961 | 1 | |
| -1.307270714 | 1 | |
| -1.286717595 | 1 | |
| -1.242415128 | 1 | |
| -1.164122333 | 1 | |
| -1.134520149 | 1 |
| Value | Count | Frequency (%) |
| -1.932169194 | 1 | |
| -1.929215236 | 1 | |
| -1.783686593 | 1 | |
| -1.523091496 | 1 | |
| -1.480891578 | 1 | |
| -1.411347232 | 1 | |
| -1.402562393 | 1 | |
| -1.389319832 | 1 | |
| -1.310247396 | 1 | |
| -1.243288206 | 1 |
| Value | Count | Frequency (%) |
| -1.932169194 | 1 | |
| -1.929215236 | 1 | |
| -1.783686593 | 1 | |
| -1.523091496 | 1 | |
| -1.480891578 | 1 | |
| -1.411347232 | 1 | |
| -1.402562393 | 1 | |
| -1.389319832 | 1 | |
| -1.310247396 | 1 | |
| -1.243288206 | 1 |
| Value | Count | Frequency (%) |
| -1.707285641 | 1 | |
| -1.618983133 | 1 | |
| -1.517225626 | 1 | |
| -1.476931788 | 1 | |
| -1.457030961 | 1 | |
| -1.307270714 | 1 | |
| -1.286717595 | 1 | |
| -1.242415128 | 1 | |
| -1.164122333 | 1 | |
| -1.134520149 | 1 |
feature92
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 8 | 10 |
| Distinct (%) | 2.9% | 3.7% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.040596089 | -0.08600547 |
| Train | Val | |
|---|---|---|
| Minimum | -9.0479367 | -11.364529 |
| Maximum | 7.6214626 | 6.4431929 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 3 | 7 |
| Negative (%) | 1.1% | 2.6% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -9.0479367 | -11.364529 |
| 5-th percentile | 0.035735659 | 0.08321098 |
| Q1 | 0.035735659 | 0.08321098 |
| median | 0.035735659 | 0.08321098 |
| Q3 | 0.035735659 | 0.08321098 |
| 95-th percentile | 0.035735659 | 0.08321098 |
| Maximum | 7.6214626 | 6.4431929 |
| Range | 16.669399 | 17.807722 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.82914551 | 1.3868957 |
| Coefficient of variation (CV) | 20.424271 | -16.125668 |
| Kurtosis | 83.573186 | 43.612923 |
| Mean | 0.040596089 | -0.08600547 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | -2.0655099 | -5.8516289 |
| Sum | 11.082732 | -23.479493 |
| Variance | 0.68748228 | 1.9234797 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0.035735659 | 266 | |
| -4.513058436 | 1 | 0.4% |
| 0.902477477 | 1 | 0.4% |
| 7.621462644 | 1 | 0.4% |
| 3.127932613 | 1 | 0.4% |
| -0.5053301 | 1 | 0.4% |
| 3.991499655 | 1 | 0.4% |
| -9.047936726 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 0.08321098 | 264 | |
| -11.3645288 | 1 | 0.4% |
| -8.674150761 | 1 | 0.4% |
| -0.257131385 | 1 | 0.4% |
| -9.029970893 | 1 | 0.4% |
| -10.61640493 | 1 | 0.4% |
| 6.443192935 | 1 | 0.4% |
| -4.977566048 | 1 | 0.4% |
| 0.642890086 | 1 | 0.4% |
| -7.613522197 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -9.047936726 | 1 | 0.4% |
| -4.513058436 | 1 | 0.4% |
| -0.5053301 | 1 | 0.4% |
| 0.035735659 | 266 | |
| 0.902477477 | 1 | 0.4% |
| 3.127932613 | 1 | 0.4% |
| 3.991499655 | 1 | 0.4% |
| 7.621462644 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.3645288 | 1 | 0.4% |
| -10.61640493 | 1 | 0.4% |
| -9.029970893 | 1 | 0.4% |
| -8.674150761 | 1 | 0.4% |
| -7.613522197 | 1 | 0.4% |
| -4.977566048 | 1 | 0.4% |
| -0.257131385 | 1 | 0.4% |
| 0.08321098 | 264 | |
| 0.642890086 | 1 | 0.4% |
| 6.443192935 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -11.3645288 | 1 | 0.4% |
| -10.61640493 | 1 | 0.4% |
| -9.029970893 | 1 | 0.4% |
| -8.674150761 | 1 | 0.4% |
| -7.613522197 | 1 | 0.4% |
| -4.977566048 | 1 | 0.4% |
| -0.257131385 | 1 | 0.4% |
| 0.08321098 | 264 | |
| 0.642890086 | 1 | 0.4% |
| 6.443192935 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| -9.047936726 | 1 | 0.4% |
| -4.513058436 | 1 | 0.4% |
| -0.5053301 | 1 | 0.4% |
| 0.035735659 | 266 | |
| 0.902477477 | 1 | 0.4% |
| 3.127932613 | 1 | 0.4% |
| 3.991499655 | 1 | 0.4% |
| 7.621462644 | 1 | 0.4% |
feature93
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 245 | 255 |
| Distinct (%) | 89.7% | 93.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.02104418 | 0.019690698 |
| Train | Val | |
|---|---|---|
| Minimum | -2.3542734 | -1.8176761 |
| Maximum | 8.5038662 | 10.781694 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 158 | 161 |
| Negative (%) | 57.9% | 59.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.3542734 | -1.8176761 |
| 5-th percentile | -0.87696986 | -0.84056408 |
| Q1 | -0.47546489 | -0.32837463 |
| median | -0.074411881 | -0.096152015 |
| Q3 | 0.36362606 | 0.29063102 |
| 95-th percentile | 0.67130134 | 0.81739923 |
| Maximum | 8.5038662 | 10.781694 |
| Range | 10.85814 | 12.59937 |
| Interquartile range (IQR) | 0.83909095 | 0.61900565 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0081393 | 0.94852131 |
| Coefficient of variation (CV) | 47.905847 | 48.171035 |
| Kurtosis | 39.160322 | 78.240407 |
| Mean | 0.02104418 | 0.019690698 |
| Median Absolute Deviation (MAD) | 0.41655519 | 0.30861194 |
| Skewness | 5.3821086 | 7.5316423 |
| Sum | 5.7450613 | 5.3755606 |
| Variance | 1.0163448 | 0.89969267 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.074411881 | 29 | 10.6% |
| -0.090906798 | 1 | 0.4% |
| 0.599577849 | 1 | 0.4% |
| -0.481410208 | 1 | 0.4% |
| -0.319312312 | 1 | 0.4% |
| 0.599257547 | 1 | 0.4% |
| -0.873634195 | 1 | 0.4% |
| -0.467251423 | 1 | 0.4% |
| 0.222621152 | 1 | 0.4% |
| 0.722190172 | 1 | 0.4% |
| Other values (235) | 235 |
| Value | Count | Frequency (%) |
| -0.096152015 | 19 | 7.0% |
| 0.771868411 | 1 | 0.4% |
| 0.394785609 | 1 | 0.4% |
| 0.800937328 | 1 | 0.4% |
| -0.299801033 | 1 | 0.4% |
| 0.002515968 | 1 | 0.4% |
| -0.466617671 | 1 | 0.4% |
| 0.007569372 | 1 | 0.4% |
| 0.180749767 | 1 | 0.4% |
| 1.035750012 | 1 | 0.4% |
| Other values (245) | 245 |
| Value | Count | Frequency (%) |
| -2.354273409 | 1 | |
| -0.953666817 | 1 | |
| -0.95237689 | 1 | |
| -0.952151157 | 1 | |
| -0.951472026 | 1 | |
| -0.944920602 | 1 | |
| -0.943610503 | 1 | |
| -0.925928627 | 1 | |
| -0.924792108 | 1 | |
| -0.923224695 | 1 |
| Value | Count | Frequency (%) |
| -1.817676059 | 1 | |
| -1.384442416 | 1 | |
| -1.324402703 | 1 | |
| -1.20586114 | 1 | |
| -1.157653154 | 1 | |
| -1.150662723 | 1 | |
| -1.089969549 | 1 | |
| -0.986935356 | 1 | |
| -0.955430853 | 1 | |
| -0.92996759 | 1 |
| Value | Count | Frequency (%) |
| -1.817676059 | 1 | |
| -1.384442416 | 1 | |
| -1.324402703 | 1 | |
| -1.20586114 | 1 | |
| -1.157653154 | 1 | |
| -1.150662723 | 1 | |
| -1.089969549 | 1 | |
| -0.986935356 | 1 | |
| -0.955430853 | 1 | |
| -0.92996759 | 1 |
| Value | Count | Frequency (%) |
| -2.354273409 | 1 | |
| -0.953666817 | 1 | |
| -0.95237689 | 1 | |
| -0.952151157 | 1 | |
| -0.951472026 | 1 | |
| -0.944920602 | 1 | |
| -0.943610503 | 1 | |
| -0.925928627 | 1 | |
| -0.924792108 | 1 | |
| -0.923224695 | 1 |
feature94
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.064317493 | 0.050087429 |
| Train | Val | |
|---|---|---|
| Minimum | -1.7604145 | -1.7460402 |
| Maximum | 6.6123389 | 7.7138602 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 159 | 149 |
| Negative (%) | 58.2% | 54.6% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.7604145 | -1.7460402 |
| 5-th percentile | -1.0969096 | -1.1675884 |
| Q1 | -0.51229454 | -0.5500899 |
| median | -0.11666921 | -0.082776338 |
| Q3 | 0.29457268 | 0.45338689 |
| 95-th percentile | 0.86909592 | 1.1952303 |
| Maximum | 6.6123389 | 7.7138602 |
| Range | 8.3727534 | 9.4599004 |
| Interquartile range (IQR) | 0.80686721 | 1.0034768 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.83572931 | 1.1394122 |
| Coefficient of variation (CV) | -12.99381 | 22.748466 |
| Kurtosis | 20.971459 | 16.41359 |
| Mean | -0.064317493 | 0.050087429 |
| Median Absolute Deviation (MAD) | 0.40262702 | 0.49351378 |
| Skewness | 3.2202617 | 3.2944747 |
| Sum | -17.558676 | 13.673868 |
| Variance | 0.69844348 | 1.2982601 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.397172685 | 1 | 0.4% |
| -0.138924785 | 1 | 0.4% |
| -0.662370629 | 1 | 0.4% |
| -0.795781507 | 1 | 0.4% |
| -0.505875921 | 1 | 0.4% |
| -0.104372179 | 1 | 0.4% |
| 0.294572675 | 1 | 0.4% |
| -0.74657935 | 1 | 0.4% |
| -1.3469257 | 1 | 0.4% |
| 0.745216275 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 0.406309818 | 1 | 0.4% |
| -1.133070508 | 1 | 0.4% |
| 0.062998621 | 1 | 0.4% |
| -0.222240016 | 1 | 0.4% |
| -0.718747733 | 1 | 0.4% |
| 0.547671713 | 1 | 0.4% |
| -0.040441914 | 1 | 0.4% |
| 1.16931032 | 1 | 0.4% |
| -0.392873046 | 1 | 0.4% |
| -0.003789263 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.760414497 | 1 | |
| -1.710470828 | 1 | |
| -1.506750356 | 1 | |
| -1.455103222 | 1 | |
| -1.42813668 | 1 | |
| -1.369441079 | 1 | |
| -1.3469257 | 1 | |
| -1.306354083 | 1 | |
| -1.283813102 | 1 | |
| -1.239821778 | 1 |
| Value | Count | Frequency (%) |
| -1.746040167 | 1 | |
| -1.628926306 | 1 | |
| -1.574695985 | 1 | |
| -1.52799648 | 1 | |
| -1.39072957 | 1 | |
| -1.379692009 | 1 | |
| -1.299748698 | 1 | |
| -1.29042732 | 1 | |
| -1.264375206 | 1 | |
| -1.261292078 | 1 |
| Value | Count | Frequency (%) |
| -1.746040167 | 1 | |
| -1.628926306 | 1 | |
| -1.574695985 | 1 | |
| -1.52799648 | 1 | |
| -1.39072957 | 1 | |
| -1.379692009 | 1 | |
| -1.299748698 | 1 | |
| -1.29042732 | 1 | |
| -1.264375206 | 1 | |
| -1.261292078 | 1 |
| Value | Count | Frequency (%) |
| -1.760414497 | 1 | |
| -1.710470828 | 1 | |
| -1.506750356 | 1 | |
| -1.455103222 | 1 | |
| -1.42813668 | 1 | |
| -1.369441079 | 1 | |
| -1.3469257 | 1 | |
| -1.306354083 | 1 | |
| -1.283813102 | 1 | |
| -1.239821778 | 1 |
feature95
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 238 | 261 |
| Distinct (%) | 87.2% | 95.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.028074458 | -0.037744768 |
| Train | Val | |
|---|---|---|
| Minimum | -1.6647156 | -3.0271858 |
| Maximum | 8.0080276 | 9.5568382 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 165 | 157 |
| Negative (%) | 60.4% | 57.5% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.6647156 | -3.0271858 |
| 5-th percentile | -0.85582888 | -1.1873035 |
| Q1 | -0.2920619 | -0.45708623 |
| median | -0.092049844 | -0.038877259 |
| Q3 | 0.18968583 | 0.3739414 |
| 95-th percentile | 0.66427619 | 1.1065778 |
| Maximum | 8.0080276 | 9.5568382 |
| Range | 9.6727432 | 12.584024 |
| Interquartile range (IQR) | 0.48174773 | 0.83102763 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.82353873 | 0.93208728 |
| Coefficient of variation (CV) | -29.334092 | -24.694476 |
| Kurtosis | 65.34184 | 41.247378 |
| Mean | -0.028074458 | -0.037744768 |
| Median Absolute Deviation (MAD) | 0.26035269 | 0.41820897 |
| Skewness | 6.7514013 | 3.8874603 |
| Sum | -7.6643271 | -10.304322 |
| Variance | 0.67821604 | 0.86878669 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.092049844 | 36 | 13.2% |
| -0.640921177 | 1 | 0.4% |
| -0.393076864 | 1 | 0.4% |
| 0.187759891 | 1 | 0.4% |
| 0.701022025 | 1 | 0.4% |
| -0.018236322 | 1 | 0.4% |
| -0.284589702 | 1 | 0.4% |
| -0.487764101 | 1 | 0.4% |
| -0.866417448 | 1 | 0.4% |
| -0.438221948 | 1 | 0.4% |
| Other values (228) | 228 |
| Value | Count | Frequency (%) |
| -0.032029806 | 13 | 4.8% |
| 0.098428518 | 1 | 0.4% |
| -0.22168759 | 1 | 0.4% |
| -0.247856795 | 1 | 0.4% |
| -0.486811662 | 1 | 0.4% |
| -1.512539677 | 1 | 0.4% |
| 0.38067525 | 1 | 0.4% |
| -0.263233264 | 1 | 0.4% |
| -0.149465124 | 1 | 0.4% |
| -0.005678676 | 1 | 0.4% |
| Other values (251) | 251 |
| Value | Count | Frequency (%) |
| -1.664715601 | 1 | |
| -1.486296463 | 1 | |
| -1.400453891 | 1 | |
| -1.314092714 | 1 | |
| -1.141878134 | 1 | |
| -1.138123703 | 1 | |
| -1.131861658 | 1 | |
| -0.996704534 | 1 | |
| -0.986950983 | 1 | |
| -0.947685975 | 1 |
| Value | Count | Frequency (%) |
| -3.027185794 | 1 | |
| -2.756443562 | 1 | |
| -2.414668321 | 1 | |
| -2.372030461 | 1 | |
| -1.512539677 | 1 | |
| -1.452804616 | 1 | |
| -1.371949141 | 1 | |
| -1.339654875 | 1 | |
| -1.326270075 | 1 | |
| -1.319558161 | 1 |
| Value | Count | Frequency (%) |
| -3.027185794 | 1 | |
| -2.756443562 | 1 | |
| -2.414668321 | 1 | |
| -2.372030461 | 1 | |
| -1.512539677 | 1 | |
| -1.452804616 | 1 | |
| -1.371949141 | 1 | |
| -1.339654875 | 1 | |
| -1.326270075 | 1 | |
| -1.319558161 | 1 |
| Value | Count | Frequency (%) |
| -1.664715601 | 1 | |
| -1.486296463 | 1 | |
| -1.400453891 | 1 | |
| -1.314092714 | 1 | |
| -1.141878134 | 1 | |
| -1.138123703 | 1 | |
| -1.131861658 | 1 | |
| -0.996704534 | 1 | |
| -0.986950983 | 1 | |
| -0.947685975 | 1 |
feature96
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 237 | 259 |
| Distinct (%) | 86.8% | 94.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.068626282 | -0.054643725 |
| Train | Val | |
|---|---|---|
| Minimum | -1.6420496 | -1.6471517 |
| Maximum | 7.4343517 | 8.7129696 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 182 | 161 |
| Negative (%) | 66.7% | 59.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.6420496 | -1.6471517 |
| 5-th percentile | -1.0139605 | -1.1096191 |
| Q1 | -0.4507983 | -0.49871583 |
| median | -0.10208843 | -0.065106978 |
| Q3 | 0.22032473 | 0.31259223 |
| 95-th percentile | 0.9044308 | 0.95896682 |
| Maximum | 7.4343517 | 8.7129696 |
| Range | 9.0764013 | 10.360121 |
| Interquartile range (IQR) | 0.67112303 | 0.81130807 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.84556662 | 0.85210121 |
| Coefficient of variation (CV) | -12.321324 | -15.593761 |
| Kurtosis | 30.693625 | 41.384871 |
| Mean | -0.068626282 | -0.054643725 |
| Median Absolute Deviation (MAD) | 0.33868095 | 0.40287919 |
| Skewness | 4.1224534 | 4.300955 |
| Sum | -18.734975 | -14.917737 |
| Variance | 0.71498292 | 0.72607647 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.102088431 | 37 | 13.6% |
| -0.806287257 | 1 | 0.4% |
| -0.136398985 | 1 | 0.4% |
| -0.450798298 | 1 | 0.4% |
| -0.028750857 | 1 | 0.4% |
| 0.015246586 | 1 | 0.4% |
| -0.187603022 | 1 | 0.4% |
| -0.118361282 | 1 | 0.4% |
| 0.402104171 | 1 | 0.4% |
| -1.377639032 | 1 | 0.4% |
| Other values (227) | 227 |
| Value | Count | Frequency (%) |
| -0.065106978 | 15 | 5.5% |
| -0.030533367 | 1 | 0.4% |
| -0.372196377 | 1 | 0.4% |
| -0.072957831 | 1 | 0.4% |
| 0.689374594 | 1 | 0.4% |
| -0.540484049 | 1 | 0.4% |
| -0.044631923 | 1 | 0.4% |
| -0.164289548 | 1 | 0.4% |
| -0.237761235 | 1 | 0.4% |
| -0.25721431 | 1 | 0.4% |
| Other values (249) | 249 |
| Value | Count | Frequency (%) |
| -1.642049574 | 1 | |
| -1.638775146 | 1 | |
| -1.553692717 | 1 | |
| -1.404888937 | 1 | |
| -1.386699534 | 1 | |
| -1.377639032 | 1 | |
| -1.340210784 | 1 | |
| -1.287303599 | 1 | |
| -1.153842636 | 1 | |
| -1.135548798 | 1 |
| Value | Count | Frequency (%) |
| -1.647151667 | 1 | |
| -1.489565425 | 1 | |
| -1.445259361 | 1 | |
| -1.411636771 | 1 | |
| -1.367732281 | 1 | |
| -1.345659198 | 1 | |
| -1.334489702 | 1 | |
| -1.327071089 | 1 | |
| -1.293428517 | 1 | |
| -1.246069388 | 1 |
| Value | Count | Frequency (%) |
| -1.647151667 | 1 | |
| -1.489565425 | 1 | |
| -1.445259361 | 1 | |
| -1.411636771 | 1 | |
| -1.367732281 | 1 | |
| -1.345659198 | 1 | |
| -1.334489702 | 1 | |
| -1.327071089 | 1 | |
| -1.293428517 | 1 | |
| -1.246069388 | 1 |
| Value | Count | Frequency (%) |
| -1.642049574 | 1 | |
| -1.638775146 | 1 | |
| -1.553692717 | 1 | |
| -1.404888937 | 1 | |
| -1.386699534 | 1 | |
| -1.377639032 | 1 | |
| -1.340210784 | 1 | |
| -1.287303599 | 1 | |
| -1.153842636 | 1 | |
| -1.135548798 | 1 |
feature97
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.037051398 | 0.020087199 |
| Train | Val | |
|---|---|---|
| Minimum | -1.5770146 | -1.1010087 |
| Maximum | 7.7276683 | 7.7480112 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 184 | 192 |
| Negative (%) | 67.4% | 70.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.5770146 | -1.1010087 |
| 5-th percentile | -1.0927045 | -0.74059201 |
| Q1 | -0.56662948 | -0.40529545 |
| median | -0.21346717 | -0.20703627 |
| Q3 | 0.1941909 | 0.080730991 |
| 95-th percentile | 1.5800892 | 1.3785883 |
| Maximum | 7.7276683 | 7.7480112 |
| Range | 9.3046828 | 8.8490199 |
| Interquartile range (IQR) | 0.76082037 | 0.48602644 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.1141442 | 1.0341518 |
| Coefficient of variation (CV) | -30.070234 | 51.483124 |
| Kurtosis | 21.533901 | 26.76106 |
| Mean | -0.037051398 | 0.020087199 |
| Median Absolute Deviation (MAD) | 0.37680317 | 0.24878897 |
| Skewness | 3.9312019 | 4.6167471 |
| Sum | -10.115032 | 5.4838054 |
| Variance | 1.2413174 | 1.0694699 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.857599757 | 1 | 0.4% |
| -0.643929495 | 1 | 0.4% |
| -0.174672036 | 1 | 0.4% |
| 0.920658088 | 1 | 0.4% |
| -0.266691372 | 1 | 0.4% |
| -0.343903705 | 1 | 0.4% |
| -0.263917164 | 1 | 0.4% |
| -0.012606696 | 1 | 0.4% |
| -0.654917862 | 1 | 0.4% |
| -0.099387704 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.165332025 | 1 | 0.4% |
| 0.282744741 | 1 | 0.4% |
| -0.314516682 | 1 | 0.4% |
| 0.473719295 | 1 | 0.4% |
| -0.2236205 | 1 | 0.4% |
| -0.158426732 | 1 | 0.4% |
| 1.461950589 | 1 | 0.4% |
| 0.799525158 | 1 | 0.4% |
| -0.342415872 | 1 | 0.4% |
| -0.48174859 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.577014552 | 1 | |
| -1.526591113 | 1 | |
| -1.475820879 | 1 | |
| -1.463476803 | 1 | |
| -1.423710502 | 1 | |
| -1.419722057 | 1 | |
| -1.33493327 | 1 | |
| -1.255784218 | 1 | |
| -1.228719981 | 1 | |
| -1.16909822 | 1 |
| Value | Count | Frequency (%) |
| -1.10100869 | 1 | |
| -1.012386416 | 1 | |
| -0.957625215 | 1 | |
| -0.934705587 | 1 | |
| -0.907382023 | 1 | |
| -0.881766723 | 1 | |
| -0.871124452 | 1 | |
| -0.82530856 | 1 | |
| -0.795824839 | 1 | |
| -0.788382433 | 1 |
| Value | Count | Frequency (%) |
| -1.10100869 | 1 | |
| -1.012386416 | 1 | |
| -0.957625215 | 1 | |
| -0.934705587 | 1 | |
| -0.907382023 | 1 | |
| -0.881766723 | 1 | |
| -0.871124452 | 1 | |
| -0.82530856 | 1 | |
| -0.795824839 | 1 | |
| -0.788382433 | 1 |
| Value | Count | Frequency (%) |
| -1.577014552 | 1 | |
| -1.526591113 | 1 | |
| -1.475820879 | 1 | |
| -1.463476803 | 1 | |
| -1.423710502 | 1 | |
| -1.419722057 | 1 | |
| -1.33493327 | 1 | |
| -1.255784218 | 1 | |
| -1.228719981 | 1 | |
| -1.16909822 | 1 |
feature98
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 237 | 255 |
| Distinct (%) | 86.8% | 93.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.078872253 | -0.0058356415 |
| Train | Val | |
|---|---|---|
| Minimum | -2.1731322 | -2.5460416 |
| Maximum | 6.2080134 | 9.3982556 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 164 | 154 |
| Negative (%) | 60.1% | 56.4% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.1731322 | -2.5460416 |
| 5-th percentile | -0.80254007 | -0.99102866 |
| Q1 | -0.46371377 | -0.39176607 |
| median | -0.092495025 | -0.06263978 |
| Q3 | 0.25229974 | 0.24096536 |
| 95-th percentile | 0.59670681 | 0.90743896 |
| Maximum | 6.2080134 | 9.3982556 |
| Range | 8.3811456 | 11.944297 |
| Interquartile range (IQR) | 0.71601351 | 0.63273142 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.63492282 | 0.89265054 |
| Coefficient of variation (CV) | -8.050015 | -152.96528 |
| Kurtosis | 39.679404 | 53.335277 |
| Mean | -0.078872253 | -0.0058356415 |
| Median Absolute Deviation (MAD) | 0.35615805 | 0.32175993 |
| Skewness | 4.2785181 | 5.4359171 |
| Sum | -21.532125 | -1.5931301 |
| Variance | 0.40312699 | 0.79682499 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.092495025 | 37 | 13.6% |
| -0.719124005 | 1 | 0.4% |
| -0.005305125 | 1 | 0.4% |
| -0.519371295 | 1 | 0.4% |
| 0.180380833 | 1 | 0.4% |
| 0.28092968 | 1 | 0.4% |
| -0.599853639 | 1 | 0.4% |
| 0.482060389 | 1 | 0.4% |
| 0.204139977 | 1 | 0.4% |
| 0.184175561 | 1 | 0.4% |
| Other values (227) | 227 |
| Value | Count | Frequency (%) |
| -0.06263978 | 19 | 7.0% |
| -0.673983961 | 1 | 0.4% |
| -0.283781882 | 1 | 0.4% |
| -0.430917307 | 1 | 0.4% |
| -0.370299162 | 1 | 0.4% |
| 0.776015482 | 1 | 0.4% |
| -0.393469715 | 1 | 0.4% |
| -0.333335141 | 1 | 0.4% |
| -0.319380055 | 1 | 0.4% |
| 1.073237157 | 1 | 0.4% |
| Other values (245) | 245 |
| Value | Count | Frequency (%) |
| -2.173132222 | 1 | |
| -0.911874408 | 1 | |
| -0.896298127 | 1 | |
| -0.883070701 | 1 | |
| -0.877725829 | 1 | |
| -0.876222834 | 1 | |
| -0.875224934 | 1 | |
| -0.870660813 | 1 | |
| -0.852059815 | 1 | |
| -0.830906068 | 1 |
| Value | Count | Frequency (%) |
| -2.546041556 | 1 | |
| -1.940948553 | 1 | |
| -1.631821918 | 1 | |
| -1.510653464 | 1 | |
| -1.4670148 | 1 | |
| -1.457998202 | 1 | |
| -1.281500383 | 1 | |
| -1.278079869 | 1 | |
| -1.177903965 | 1 | |
| -1.115795498 | 1 |
| Value | Count | Frequency (%) |
| -2.546041556 | 1 | |
| -1.940948553 | 1 | |
| -1.631821918 | 1 | |
| -1.510653464 | 1 | |
| -1.4670148 | 1 | |
| -1.457998202 | 1 | |
| -1.281500383 | 1 | |
| -1.278079869 | 1 | |
| -1.177903965 | 1 | |
| -1.115795498 | 1 |
| Value | Count | Frequency (%) |
| -2.173132222 | 1 | |
| -0.911874408 | 1 | |
| -0.896298127 | 1 | |
| -0.883070701 | 1 | |
| -0.877725829 | 1 | |
| -0.876222834 | 1 | |
| -0.875224934 | 1 | |
| -0.870660813 | 1 | |
| -0.852059815 | 1 | |
| -0.830906068 | 1 |
feature99
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 237 | 253 |
| Distinct (%) | 86.8% | 92.7% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.060771541 | -0.039510062 |
| Train | Val | |
|---|---|---|
| Minimum | -1.6575101 | -3.2065185 |
| Maximum | 3.715507 | 11.496757 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 169 | 161 |
| Negative (%) | 61.9% | 59.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.6575101 | -3.2065185 |
| 5-th percentile | -0.82163203 | -1.0120069 |
| Q1 | -0.37885734 | -0.55645724 |
| median | -0.081578568 | -0.05397698 |
| Q3 | 0.22277758 | 0.37221218 |
| 95-th percentile | 0.82432383 | 0.83818694 |
| Maximum | 3.715507 | 11.496757 |
| Range | 5.3730171 | 14.703276 |
| Interquartile range (IQR) | 0.60163493 | 0.92866942 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.52487162 | 0.97796197 |
| Coefficient of variation (CV) | -8.6367995 | -24.752226 |
| Kurtosis | 9.3036489 | 72.112137 |
| Mean | -0.060771541 | -0.039510062 |
| Median Absolute Deviation (MAD) | 0.30435615 | 0.46293005 |
| Skewness | 1.3744749 | 6.3050954 |
| Sum | -16.590631 | -10.786247 |
| Variance | 0.27549021 | 0.95640962 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.081578568 | 37 | 13.6% |
| 0.108775414 | 1 | 0.4% |
| -0.116369787 | 1 | 0.4% |
| -0.23752303 | 1 | 0.4% |
| 0.084935324 | 1 | 0.4% |
| -1.070583736 | 1 | 0.4% |
| 0.197144697 | 1 | 0.4% |
| 0.63453569 | 1 | 0.4% |
| -0.607781906 | 1 | 0.4% |
| -0.212366457 | 1 | 0.4% |
| Other values (227) | 227 |
| Value | Count | Frequency (%) |
| -0.05397698 | 21 | 7.7% |
| -0.183258803 | 1 | 0.4% |
| -0.528385915 | 1 | 0.4% |
| -0.449466484 | 1 | 0.4% |
| -0.190929324 | 1 | 0.4% |
| -0.669588802 | 1 | 0.4% |
| -0.063111266 | 1 | 0.4% |
| -0.902523618 | 1 | 0.4% |
| 0.122015968 | 1 | 0.4% |
| -0.719467376 | 1 | 0.4% |
| Other values (243) | 243 |
| Value | Count | Frequency (%) |
| -1.657510092 | 1 | |
| -1.262168585 | 1 | |
| -1.189701012 | 1 | |
| -1.127937302 | 1 | |
| -1.070583736 | 1 | |
| -1.062575593 | 1 | |
| -1.059543128 | 1 | |
| -1.051383584 | 1 | |
| -1.009549269 | 1 | |
| -0.973213781 | 1 |
| Value | Count | Frequency (%) |
| -3.206518456 | 1 | |
| -2.049592464 | 1 | |
| -1.085347816 | 1 | |
| -1.080398902 | 1 | |
| -1.074819002 | 1 | |
| -1.072560483 | 1 | |
| -1.071197369 | 1 | |
| -1.070851183 | 1 | |
| -1.070340232 | 1 | |
| -1.068113353 | 1 |
| Value | Count | Frequency (%) |
| -3.206518456 | 1 | |
| -2.049592464 | 1 | |
| -1.085347816 | 1 | |
| -1.080398902 | 1 | |
| -1.074819002 | 1 | |
| -1.072560483 | 1 | |
| -1.071197369 | 1 | |
| -1.070851183 | 1 | |
| -1.070340232 | 1 | |
| -1.068113353 | 1 |
| Value | Count | Frequency (%) |
| -1.657510092 | 1 | |
| -1.262168585 | 1 | |
| -1.189701012 | 1 | |
| -1.127937302 | 1 | |
| -1.070583736 | 1 | |
| -1.062575593 | 1 | |
| -1.059543128 | 1 | |
| -1.051383584 | 1 | |
| -1.009549269 | 1 | |
| -0.973213781 | 1 |
feature100
Categorical
| Train | Val | |
|---|---|---|
| Distinct | 1 | 1 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
| 0 |
|---|
| 0 |
|---|
Length
| Train | Val | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Characters and Unicode
| Train | Val | |
|---|---|---|
| Total characters | 273 | 273 |
| Distinct characters | 1 | 1 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Train | Val | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Train | Val | |
|---|---|---|
| 1st row | 0 | 0 |
| 2nd row | 0 | 0 |
| 3rd row | 0 | 0 |
| 4th row | 0 | 0 |
| 5th row | 0 | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Length
Histogram of lengths of the category
Common Values (Plot)
Train
Val
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 273 |
| Value | Count | Frequency (%) |
| Decimal Number | 273 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 273 |
| Value | Count | Frequency (%) |
| Common | 273 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 273 |
| Value | Count | Frequency (%) |
| ASCII | 273 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 273 |
| Value | Count | Frequency (%) |
| 0 | 273 |
feature101
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.0095674672 | -0.075413406 |
| Train | Val | |
|---|---|---|
| Minimum | -2.6271933 | -3.1148976 |
| Maximum | 7.4384209 | 6.1246499 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 166 | 164 |
| Negative (%) | 60.8% | 60.1% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.6271933 | -3.1148976 |
| 5-th percentile | -1.0256166 | -1.1712228 |
| Q1 | -0.50640764 | -0.55030791 |
| median | -0.18458934 | -0.167329 |
| Q3 | 0.29626072 | 0.32314108 |
| 95-th percentile | 1.0821829 | 1.1054874 |
| Maximum | 7.4384209 | 6.1246499 |
| Range | 10.065614 | 9.2395475 |
| Interquartile range (IQR) | 0.80266837 | 0.87344899 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.0438185 | 0.90384271 |
| Coefficient of variation (CV) | -109.10082 | -11.985173 |
| Kurtosis | 18.982712 | 14.305248 |
| Mean | -0.0095674672 | -0.075413406 |
| Median Absolute Deviation (MAD) | 0.38490561 | 0.45845643 |
| Skewness | 3.4844858 | 2.4407939 |
| Sum | -2.6119185 | -20.58786 |
| Variance | 1.0895571 | 0.81693164 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.363192904 | 1 | 0.4% |
| 0.660436874 | 1 | 0.4% |
| 0.101963929 | 1 | 0.4% |
| 0.706272716 | 1 | 0.4% |
| -0.179753464 | 1 | 0.4% |
| -1.005153482 | 1 | 0.4% |
| 0.008580001 | 1 | 0.4% |
| -0.802218524 | 1 | 0.4% |
| -0.539416652 | 1 | 0.4% |
| -0.818232108 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -0.46672215 | 1 | 0.4% |
| 0.966676225 | 1 | 0.4% |
| -0.47059355 | 1 | 0.4% |
| -0.3582516 | 1 | 0.4% |
| -0.083465945 | 1 | 0.4% |
| 0.042989128 | 1 | 0.4% |
| -0.674735005 | 1 | 0.4% |
| -0.223046242 | 1 | 0.4% |
| -0.746326814 | 1 | 0.4% |
| 0.626641322 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -2.627193294 | 1 | |
| -2.051233311 | 1 | |
| -1.777978336 | 1 | |
| -1.335211128 | 1 | |
| -1.334965992 | 1 | |
| -1.259631233 | 1 | |
| -1.220133107 | 1 | |
| -1.201418881 | 1 | |
| -1.189046186 | 1 | |
| -1.12244547 | 1 |
| Value | Count | Frequency (%) |
| -3.114897556 | 1 | |
| -1.972501959 | 1 | |
| -1.753739594 | 1 | |
| -1.555965504 | 1 | |
| -1.522635433 | 1 | |
| -1.501721751 | 1 | |
| -1.497196637 | 1 | |
| -1.427379092 | 1 | |
| -1.37088659 | 1 | |
| -1.339903784 | 1 |
| Value | Count | Frequency (%) |
| -3.114897556 | 1 | |
| -1.972501959 | 1 | |
| -1.753739594 | 1 | |
| -1.555965504 | 1 | |
| -1.522635433 | 1 | |
| -1.501721751 | 1 | |
| -1.497196637 | 1 | |
| -1.427379092 | 1 | |
| -1.37088659 | 1 | |
| -1.339903784 | 1 |
| Value | Count | Frequency (%) |
| -2.627193294 | 1 | |
| -2.051233311 | 1 | |
| -1.777978336 | 1 | |
| -1.335211128 | 1 | |
| -1.334965992 | 1 | |
| -1.259631233 | 1 | |
| -1.220133107 | 1 | |
| -1.201418881 | 1 | |
| -1.189046186 | 1 | |
| -1.12244547 | 1 |
feature102
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 244 | 262 |
| Distinct (%) | 89.4% | 96.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.052000283 | 0.012081975 |
| Train | Val | |
|---|---|---|
| Minimum | -2.0087053 | -2.4350576 |
| Maximum | 7.7728977 | 9.4004699 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 173 | 166 |
| Negative (%) | 63.4% | 60.8% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.0087053 | -2.4350576 |
| 5-th percentile | -0.9159606 | -1.0785594 |
| Q1 | -0.39922036 | -0.47868905 |
| median | -0.085886621 | -0.10756002 |
| Q3 | 0.2136245 | 0.35181516 |
| 95-th percentile | 0.6946466 | 1.0190487 |
| Maximum | 7.7728977 | 9.4004699 |
| Range | 9.7816031 | 11.835528 |
| Interquartile range (IQR) | 0.61284486 | 0.83050421 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.83290831 | 1.1781707 |
| Coefficient of variation (CV) | -16.01738 | 97.514737 |
| Kurtosis | 54.353821 | 33.616027 |
| Mean | -0.052000283 | 0.012081975 |
| Median Absolute Deviation (MAD) | 0.30340672 | 0.40810952 |
| Skewness | 5.9048105 | 4.8843472 |
| Sum | -14.196077 | 3.2983793 |
| Variance | 0.69373625 | 1.3880861 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.085886621 | 30 | 11.0% |
| -0.237420994 | 1 | 0.4% |
| -0.442645678 | 1 | 0.4% |
| -0.71691518 | 1 | 0.4% |
| 0.155963773 | 1 | 0.4% |
| -1.092748687 | 1 | 0.4% |
| -0.153119992 | 1 | 0.4% |
| -0.060371601 | 1 | 0.4% |
| 0.716619361 | 1 | 0.4% |
| -0.153679382 | 1 | 0.4% |
| Other values (234) | 234 |
| Value | Count | Frequency (%) |
| -0.082562019 | 12 | 4.4% |
| 0.421996895 | 1 | 0.4% |
| 0.215048065 | 1 | 0.4% |
| 0.641172496 | 1 | 0.4% |
| -0.239750696 | 1 | 0.4% |
| -0.425803431 | 1 | 0.4% |
| -0.25065153 | 1 | 0.4% |
| 0.251464566 | 1 | 0.4% |
| 0.048726391 | 1 | 0.4% |
| 0.594665512 | 1 | 0.4% |
| Other values (252) | 252 |
| Value | Count | Frequency (%) |
| -2.008705346 | 1 | |
| -1.671041595 | 1 | |
| -1.589039587 | 1 | |
| -1.194882935 | 1 | |
| -1.162466033 | 1 | |
| -1.093679159 | 1 | |
| -1.092748687 | 1 | |
| -1.067366832 | 1 | |
| -1.041316705 | 1 | |
| -1.004366331 | 1 |
| Value | Count | Frequency (%) |
| -2.435057612 | 1 | |
| -1.973772162 | 1 | |
| -1.873134756 | 1 | |
| -1.588018892 | 1 | |
| -1.551181644 | 1 | |
| -1.502918707 | 1 | |
| -1.500372174 | 1 | |
| -1.406083188 | 1 | |
| -1.339274397 | 1 | |
| -1.297645815 | 1 |
| Value | Count | Frequency (%) |
| -2.435057612 | 1 | |
| -1.973772162 | 1 | |
| -1.873134756 | 1 | |
| -1.588018892 | 1 | |
| -1.551181644 | 1 | |
| -1.502918707 | 1 | |
| -1.500372174 | 1 | |
| -1.406083188 | 1 | |
| -1.339274397 | 1 | |
| -1.297645815 | 1 |
| Value | Count | Frequency (%) |
| -2.008705346 | 1 | |
| -1.671041595 | 1 | |
| -1.589039587 | 1 | |
| -1.194882935 | 1 | |
| -1.162466033 | 1 | |
| -1.093679159 | 1 | |
| -1.092748687 | 1 | |
| -1.067366832 | 1 | |
| -1.041316705 | 1 | |
| -1.004366331 | 1 |
feature103
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 250 | 259 |
| Distinct (%) | 91.6% | 94.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.034159463 | -0.038362601 |
| Train | Val | |
|---|---|---|
| Minimum | -2.674714 | -3.1784188 |
| Maximum | 5.0235549 | 7.1534563 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 182 | 153 |
| Negative (%) | 66.7% | 56.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.674714 | -3.1784188 |
| 5-th percentile | -0.66699549 | -1.4139364 |
| Q1 | -0.45422292 | -0.60723892 |
| median | -0.26955524 | -0.027876465 |
| Q3 | 0.19654126 | 0.42767746 |
| 95-th percentile | 1.1322664 | 1.1323826 |
| Maximum | 5.0235549 | 7.1534563 |
| Range | 7.6982689 | 10.331875 |
| Interquartile range (IQR) | 0.65076418 | 1.0349164 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.7309867 | 1.0121648 |
| Coefficient of variation (CV) | -21.399245 | -26.384155 |
| Kurtosis | 11.587966 | 15.498066 |
| Mean | -0.034159463 | -0.038362601 |
| Median Absolute Deviation (MAD) | 0.28458838 | 0.52542031 |
| Skewness | 2.4544102 | 2.2822765 |
| Sum | -9.3255334 | -10.47299 |
| Variance | 0.53434156 | 1.0244776 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.278016163 | 24 | 8.8% |
| -0.418967461 | 1 | 0.4% |
| -0.665499279 | 1 | 0.4% |
| -0.554169731 | 1 | 0.4% |
| -0.429507008 | 1 | 0.4% |
| -0.466109797 | 1 | 0.4% |
| 0.787299342 | 1 | 0.4% |
| 0.273029264 | 1 | 0.4% |
| 1.885356313 | 1 | 0.4% |
| -0.153826327 | 1 | 0.4% |
| Other values (240) | 240 |
| Value | Count | Frequency (%) |
| -0.01067592 | 15 | 5.5% |
| -0.91998887 | 1 | 0.4% |
| 0.046238604 | 1 | 0.4% |
| -0.802557587 | 1 | 0.4% |
| 0.725301003 | 1 | 0.4% |
| -0.240742409 | 1 | 0.4% |
| -0.417882396 | 1 | 0.4% |
| -1.010308897 | 1 | 0.4% |
| -0.541940915 | 1 | 0.4% |
| -0.127446043 | 1 | 0.4% |
| Other values (249) | 249 |
| Value | Count | Frequency (%) |
| -2.67471399 | 1 | |
| -1.284191942 | 1 | |
| -0.73100029 | 1 | |
| -0.718899026 | 1 | |
| -0.712843409 | 1 | |
| -0.709904159 | 1 | |
| -0.705789978 | 1 | |
| -0.700426765 | 1 | |
| -0.697351681 | 1 | |
| -0.695149256 | 1 |
| Value | Count | Frequency (%) |
| -3.178418799 | 1 | |
| -3.086155465 | 1 | |
| -2.232241874 | 1 | |
| -2.096950022 | 1 | |
| -1.872912807 | 1 | |
| -1.84016857 | 1 | |
| -1.82961479 | 1 | |
| -1.774270852 | 1 | |
| -1.740081118 | 1 | |
| -1.583257481 | 1 |
| Value | Count | Frequency (%) |
| -3.178418799 | 1 | |
| -3.086155465 | 1 | |
| -2.232241874 | 1 | |
| -2.096950022 | 1 | |
| -1.872912807 | 1 | |
| -1.84016857 | 1 | |
| -1.82961479 | 1 | |
| -1.774270852 | 1 | |
| -1.740081118 | 1 | |
| -1.583257481 | 1 |
| Value | Count | Frequency (%) |
| -2.67471399 | 1 | |
| -1.284191942 | 1 | |
| -0.73100029 | 1 | |
| -0.718899026 | 1 | |
| -0.712843409 | 1 | |
| -0.709904159 | 1 | |
| -0.705789978 | 1 | |
| -0.700426765 | 1 | |
| -0.697351681 | 1 | |
| -0.695149256 | 1 |
feature104
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 252 | 257 |
| Distinct (%) | 92.3% | 94.1% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | -0.093160281 | 0.035895498 |
| Train | Val | |
|---|---|---|
| Minimum | -2.1178182 | -2.6792576 |
| Maximum | 5.4099296 | 10.29566 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 191 | 148 |
| Negative (%) | 70.0% | 54.2% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -2.1178182 | -2.6792576 |
| 5-th percentile | -0.6986101 | -1.1536003 |
| Q1 | -0.57441356 | -0.42844947 |
| median | -0.27454933 | -0.041071988 |
| Q3 | 0.1641095 | 0.3772072 |
| 95-th percentile | 1.108691 | 1.0728125 |
| Maximum | 5.4099296 | 10.29566 |
| Range | 7.5277479 | 12.974918 |
| Interquartile range (IQR) | 0.73852306 | 0.80565667 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.75490612 | 1.2147155 |
| Coefficient of variation (CV) | -8.1033044 | 33.840329 |
| Kurtosis | 13.679563 | 39.971204 |
| Mean | -0.093160281 | 0.035895498 |
| Median Absolute Deviation (MAD) | 0.32132421 | 0.40778285 |
| Skewness | 2.8349449 | 5.0781239 |
| Sum | -25.432757 | 9.799471 |
| Variance | 0.56988324 | 1.4755337 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.274549329 | 22 | 8.1% |
| 0.236941235 | 1 | 0.4% |
| -0.48220493 | 1 | 0.4% |
| 2.851215912 | 1 | 0.4% |
| 3.627222594 | 1 | 0.4% |
| -0.660826591 | 1 | 0.4% |
| -0.403897474 | 1 | 0.4% |
| -0.424486263 | 1 | 0.4% |
| -0.588011882 | 1 | 0.4% |
| 0.616313522 | 1 | 0.4% |
| Other values (242) | 242 |
| Value | Count | Frequency (%) |
| -0.041071988 | 17 | 6.2% |
| -0.268429657 | 1 | 0.4% |
| -0.101981114 | 1 | 0.4% |
| 0.611187237 | 1 | 0.4% |
| 0.220699563 | 1 | 0.4% |
| -0.258508681 | 1 | 0.4% |
| -0.588397316 | 1 | 0.4% |
| 0.393451648 | 1 | 0.4% |
| -0.724722828 | 1 | 0.4% |
| -0.453807445 | 1 | 0.4% |
| Other values (247) | 247 |
| Value | Count | Frequency (%) |
| -2.117818234 | 1 | |
| -1.190953466 | 1 | |
| -0.738502363 | 1 | |
| -0.737253001 | 1 | |
| -0.736434812 | 1 | |
| -0.736060448 | 1 | |
| -0.735808123 | 1 | |
| -0.728655303 | 1 | |
| -0.725914419 | 1 | |
| -0.723833257 | 1 |
| Value | Count | Frequency (%) |
| -2.679257555 | 1 | |
| -2.504696865 | 1 | |
| -2.476628234 | 1 | |
| -2.217562679 | 1 | |
| -2.117787062 | 1 | |
| -1.890214222 | 1 | |
| -1.708698779 | 1 | |
| -1.658080076 | 1 | |
| -1.58284085 | 1 | |
| -1.414346308 | 1 |
| Value | Count | Frequency (%) |
| -2.679257555 | 1 | |
| -2.504696865 | 1 | |
| -2.476628234 | 1 | |
| -2.217562679 | 1 | |
| -2.117787062 | 1 | |
| -1.890214222 | 1 | |
| -1.708698779 | 1 | |
| -1.658080076 | 1 | |
| -1.58284085 | 1 | |
| -1.414346308 | 1 |
| Value | Count | Frequency (%) |
| -2.117818234 | 1 | |
| -1.190953466 | 1 | |
| -0.738502363 | 1 | |
| -0.737253001 | 1 | |
| -0.736434812 | 1 | |
| -0.736060448 | 1 | |
| -0.735808123 | 1 | |
| -0.728655303 | 1 | |
| -0.725914419 | 1 | |
| -0.723833257 | 1 |
feature105
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 273 | 273 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.0012232726 | 0.03607943 |
| Train | Val | |
|---|---|---|
| Minimum | -1.7626042 | -1.1017212 |
| Maximum | 4.5779033 | 6.7577539 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 165 | 192 |
| Negative (%) | 60.4% | 70.3% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.7626042 | -1.1017212 |
| 5-th percentile | -1.0199525 | -0.8120684 |
| Q1 | -0.50465466 | -0.52403967 |
| median | -0.13274719 | -0.27268263 |
| Q3 | 0.27946339 | 0.19674655 |
| 95-th percentile | 1.5388606 | 1.5565701 |
| Maximum | 4.5779033 | 6.7577539 |
| Range | 6.3405075 | 7.8594751 |
| Interquartile range (IQR) | 0.78411805 | 0.72078621 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.90096051 | 1.1425434 |
| Coefficient of variation (CV) | 736.51655 | 31.667447 |
| Kurtosis | 7.1246156 | 14.435349 |
| Mean | 0.0012232726 | 0.03607943 |
| Median Absolute Deviation (MAD) | 0.40243897 | 0.3090312 |
| Skewness | 2.0334602 | 3.5093871 |
| Sum | 0.33395342 | 9.8496844 |
| Variance | 0.81172984 | 1.3054055 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.476133596 | 1 | 0.4% |
| -0.82969079 | 1 | 0.4% |
| -0.319927607 | 1 | 0.4% |
| -0.657446515 | 1 | 0.4% |
| -0.070620209 | 1 | 0.4% |
| -0.927989679 | 1 | 0.4% |
| 0.275830198 | 1 | 0.4% |
| -1.309648929 | 1 | 0.4% |
| 0.09948564 | 1 | 0.4% |
| -0.865603275 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| 0.06299844 | 1 | 0.4% |
| 0.256007049 | 1 | 0.4% |
| -0.724002231 | 1 | 0.4% |
| 0.473191776 | 1 | 0.4% |
| -0.236854191 | 1 | 0.4% |
| 0.945771142 | 1 | 0.4% |
| 1.405645314 | 1 | 0.4% |
| 0.347000647 | 1 | 0.4% |
| -0.525287523 | 1 | 0.4% |
| -0.391970109 | 1 | 0.4% |
| Other values (263) | 263 |
| Value | Count | Frequency (%) |
| -1.762604181 | 1 | |
| -1.700610944 | 1 | |
| -1.62668583 | 1 | |
| -1.580350587 | 1 | |
| -1.505776128 | 1 | |
| -1.466553237 | 1 | |
| -1.309648929 | 1 | |
| -1.305381158 | 1 | |
| -1.234895983 | 1 | |
| -1.215326485 | 1 |
| Value | Count | Frequency (%) |
| -1.101721231 | 1 | |
| -1.084600886 | 1 | |
| -0.964196208 | 1 | |
| -0.931533005 | 1 | |
| -0.927673983 | 1 | |
| -0.916897334 | 1 | |
| -0.907016314 | 1 | |
| -0.889167262 | 1 | |
| -0.887788442 | 1 | |
| -0.869563954 | 1 |
| Value | Count | Frequency (%) |
| -1.101721231 | 1 | |
| -1.084600886 | 1 | |
| -0.964196208 | 1 | |
| -0.931533005 | 1 | |
| -0.927673983 | 1 | |
| -0.916897334 | 1 | |
| -0.907016314 | 1 | |
| -0.889167262 | 1 | |
| -0.887788442 | 1 | |
| -0.869563954 | 1 |
| Value | Count | Frequency (%) |
| -1.762604181 | 1 | |
| -1.700610944 | 1 | |
| -1.62668583 | 1 | |
| -1.580350587 | 1 | |
| -1.505776128 | 1 | |
| -1.466553237 | 1 | |
| -1.309648929 | 1 | |
| -1.305381158 | 1 | |
| -1.234895983 | 1 | |
| -1.215326485 | 1 |
feature106
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 252 | 257 |
| Distinct (%) | 92.3% | 94.1% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.043942171 | -0.08069289 |
| Train | Val | |
|---|---|---|
| Minimum | -1.6979495 | -1.9238949 |
| Maximum | 8.1317001 | 6.6435227 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 150 | 182 |
| Negative (%) | 54.9% | 66.7% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | -1.6979495 | -1.9238949 |
| 5-th percentile | -1.0099674 | -0.82270777 |
| Q1 | -0.35910602 | -0.61116143 |
| median | -0.059508807 | -0.27385265 |
| Q3 | 0.28806786 | 0.16630994 |
| 95-th percentile | 0.79761359 | 1.2510454 |
| Maximum | 8.1317001 | 6.6435227 |
| Range | 9.8296496 | 8.5674176 |
| Interquartile range (IQR) | 0.64717389 | 0.77747137 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 0.98306012 | 0.86856238 |
| Coefficient of variation (CV) | 22.371679 | -10.763803 |
| Kurtosis | 36.379009 | 23.208911 |
| Mean | 0.043942171 | -0.08069289 |
| Median Absolute Deviation (MAD) | 0.32364828 | 0.38018152 |
| Skewness | 5.1776323 | 3.7150095 |
| Sum | 11.996213 | -22.029159 |
| Variance | 0.9664072 | 0.75440061 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -0.063247341 | 22 | 8.1% |
| -0.36922355 | 1 | 0.4% |
| 1.573080559 | 1 | 0.4% |
| 0.214649596 | 1 | 0.4% |
| 0.162374284 | 1 | 0.4% |
| 0.398022912 | 1 | 0.4% |
| 0.116160132 | 1 | 0.4% |
| 0.556510027 | 1 | 0.4% |
| 0.822302439 | 1 | 0.4% |
| 0.073377479 | 1 | 0.4% |
| Other values (242) | 242 |
| Value | Count | Frequency (%) |
| -0.273852654 | 17 | 6.2% |
| 0.436931632 | 1 | 0.4% |
| -0.715437791 | 1 | 0.4% |
| -0.7734102 | 1 | 0.4% |
| 1.731912822 | 1 | 0.4% |
| -0.803218039 | 1 | 0.4% |
| -0.791795554 | 1 | 0.4% |
| -0.686700714 | 1 | 0.4% |
| -0.456672068 | 1 | 0.4% |
| -0.056872697 | 1 | 0.4% |
| Other values (247) | 247 |
| Value | Count | Frequency (%) |
| -1.697949486 | 1 | |
| -1.484226078 | 1 | |
| -1.400692691 | 1 | |
| -1.359533366 | 1 | |
| -1.18616657 | 1 | |
| -1.15340277 | 1 | |
| -1.134518471 | 1 | |
| -1.113572168 | 1 | |
| -1.11182777 | 1 | |
| -1.077705287 | 1 |
| Value | Count | Frequency (%) |
| -1.923894934 | 1 | |
| -0.846933679 | 1 | |
| -0.844825254 | 1 | |
| -0.844335366 | 1 | |
| -0.843971637 | 1 | |
| -0.839515063 | 1 | |
| -0.838816497 | 1 | |
| -0.837883378 | 1 | |
| -0.837823061 | 1 | |
| -0.836182555 | 1 |
| Value | Count | Frequency (%) |
| -1.923894934 | 1 | |
| -0.846933679 | 1 | |
| -0.844825254 | 1 | |
| -0.844335366 | 1 | |
| -0.843971637 | 1 | |
| -0.839515063 | 1 | |
| -0.838816497 | 1 | |
| -0.837883378 | 1 | |
| -0.837823061 | 1 | |
| -0.836182555 | 1 |
| Value | Count | Frequency (%) |
| -1.697949486 | 1 | |
| -1.484226078 | 1 | |
| -1.400692691 | 1 | |
| -1.359533366 | 1 | |
| -1.18616657 | 1 | |
| -1.15340277 | 1 | |
| -1.134518471 | 1 | |
| -1.113572168 | 1 | |
| -1.11182777 | 1 | |
| -1.077705287 | 1 |
label
Real number (ℝ)
| Train | Val | |
|---|---|---|
| Distinct | 6 | 6 |
| Distinct (%) | 2.2% | 2.2% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 1.2967033 | 2.3809524 |
| Train | Val | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 5 | 5 |
| Zeros | 144 | 51 |
| Zeros (%) | 52.7% | 18.7% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 2.3 KiB | 2.3 KiB |
Quantile statistics
| Train | Val | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 1 |
| median | 0 | 2 |
| Q3 | 2 | 4 |
| 95-th percentile | 5 | 5 |
| Maximum | 5 | 5 |
| Range | 5 | 5 |
| Interquartile range (IQR) | 2 | 3 |
Descriptive statistics
| Train | Val | |
|---|---|---|
| Standard deviation | 1.6303273 | 1.6829388 |
| Coefficient of variation (CV) | 1.2572863 | 0.70683428 |
| Kurtosis | -0.39280037 | -1.1969307 |
| Mean | 1.2967033 | 2.3809524 |
| Median Absolute Deviation (MAD) | 0 | 1 |
| Skewness | 0.93872961 | 0.070296231 |
| Sum | 354 | 650 |
| Variance | 2.657967 | 2.8322829 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 144 | |
| 2 | 42 | 15.4% |
| 3 | 30 | 11.0% |
| 1 | 22 | 8.1% |
| 5 | 18 | 6.6% |
| 4 | 17 | 6.2% |
| Value | Count | Frequency (%) |
| 2 | 54 | |
| 0 | 51 | |
| 3 | 46 | |
| 4 | 42 | |
| 1 | 41 | |
| 5 | 39 |
| Value | Count | Frequency (%) |
| 0 | 144 | |
| 1 | 22 | 8.1% |
| 2 | 42 | 15.4% |
| 3 | 30 | 11.0% |
| 4 | 17 | 6.2% |
| 5 | 18 | 6.6% |
| Value | Count | Frequency (%) |
| 0 | 51 | |
| 1 | 41 | |
| 2 | 54 | |
| 3 | 46 | |
| 4 | 42 | |
| 5 | 39 |
| Value | Count | Frequency (%) |
| 0 | 51 | |
| 1 | 41 | |
| 2 | 54 | |
| 3 | 46 | |
| 4 | 42 | |
| 5 | 39 |
| Value | Count | Frequency (%) |
| 0 | 144 | |
| 1 | 22 | 8.1% |
| 2 | 42 | 15.4% |
| 3 | 30 | 11.0% |
| 4 | 17 | 6.2% |
| 5 | 18 | 6.6% |
Train
A simple visualization of nullity by column.
Val
A simple visualization of nullity by column.
Train
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Val
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Train
| id | feature0 | feature1 | feature2 | feature3 | feature4 | feature5 | feature6 | feature7 | feature8 | feature9 | feature10 | feature11 | feature12 | feature13 | feature14 | feature15 | feature16 | feature17 | feature18 | feature19 | feature20 | feature21 | feature22 | feature23 | feature24 | feature25 | feature26 | feature27 | feature28 | feature29 | feature30 | feature31 | feature32 | feature33 | feature34 | feature35 | feature36 | feature37 | feature38 | feature39 | feature40 | feature41 | feature42 | feature43 | feature44 | feature45 | feature46 | feature47 | feature48 | feature49 | feature50 | feature51 | feature52 | feature53 | feature54 | feature55 | feature56 | feature57 | feature58 | feature59 | feature60 | feature61 | feature62 | feature63 | feature64 | feature65 | feature66 | feature67 | feature68 | feature69 | feature70 | feature71 | feature72 | feature73 | feature74 | feature75 | feature76 | feature77 | feature78 | feature79 | feature80 | feature81 | feature82 | feature83 | feature84 | feature85 | feature86 | feature87 | feature88 | feature89 | feature90 | feature91 | feature92 | feature93 | feature94 | feature95 | feature96 | feature97 | feature98 | feature99 | feature100 | feature101 | feature102 | feature103 | feature104 | feature105 | feature106 | label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | -0.297259 | 0.040349 | -0.079476 | 0.427488 | -0.332198 | -0.382556 | -0.281657 | 0.697149 | 0.164235 | -0.074719 | -1.008926 | 0.088783 | -0.100610 | 0.547696 | -0.215694 | 0.201381 | -0.627917 | 0.349486 | -0.096395 | 0.053480 | 0.044991 | 0.173594 | -0.283199 | -0.388336 | -0.278642 | 0.014035 | -0.619022 | 0.348924 | 0.138669 | 0.051327 | -0.938071 | 0.206867 | 0.005915 | 0.408762 | -0.551853 | 0.154783 | -0.779816 | -0.588087 | -0.646117 | -0.573828 | -0.687931 | -0.696309 | -0.880502 | -0.488355 | -0.440725 | -0.452977 | -0.105378 | 0.214481 | 0.593547 | 0.757582 | -0.622346 | -0.100777 | -0.089989 | -0.033002 | 0.04931 | -0.087523 | 0.077267 | 0 | -0.313450 | -0.179769 | 0.008661 | -0.039417 | -0.669945 | 0.188627 | 0.039586 | 0.041519 | -0.195195 | 0.595723 | -0.498137 | -0.287612 | 0.502967 | 0.243699 | 0.244648 | -0.286134 | -0.366584 | -0.077964 | 0.139905 | 0 | 0.025525 | -0.031576 | 0.043626 | 0.322171 | 0.523174 | -0.203149 | -0.089796 | -0.268410 | 0.213668 | 0.772526 | 0.05014 | 0.133644 | 0.290579 | -1.517226 | 0.035736 | -0.074412 | -0.397173 | -0.640921 | -0.823697 | -0.857600 | -0.719124 | 0.108775 | 0 | -0.363193 | -0.263503 | -0.418967 | -0.274549 | -0.476134 | -0.369224 | 4 |
| 1 | 1 | 0.001388 | 0.040349 | -0.074265 | -0.080290 | 0.930073 | 0.136216 | 0.007605 | -0.097881 | -0.266187 | 0.468464 | 0.289323 | -0.149654 | 0.141903 | -0.482519 | -0.984716 | 0.257992 | -0.632225 | -0.367285 | 0.533494 | -0.412537 | 0.044991 | -0.728389 | 1.316221 | -0.082057 | 0.024927 | -0.719033 | -0.084175 | -0.457216 | 0.843928 | -0.401447 | -0.318850 | 0.162034 | 0.005915 | -0.019275 | -0.599379 | 0.583144 | -0.692825 | 0.594541 | -1.126525 | -2.590110 | -0.189397 | -0.111518 | -0.093534 | 0.131449 | -0.223526 | -0.227360 | -0.501446 | 0.456916 | 0.502026 | 0.103371 | 0.490144 | -0.210026 | -0.928084 | -0.464332 | 0.04931 | -0.282346 | -0.034666 | 0 | 0.788749 | -0.321244 | 0.008661 | 0.182161 | -0.687973 | -0.181849 | 0.039586 | 0.041519 | 0.943927 | 0.379156 | -0.560666 | -0.546441 | -0.017604 | 0.222377 | -1.376285 | -0.247506 | -0.498964 | 0.539283 | -0.057405 | 0 | 0.025525 | 0.100776 | 0.043626 | -0.138258 | -0.030658 | 0.391569 | -0.421804 | -0.295354 | 0.051602 | -1.353409 | 0.05014 | -0.498828 | -0.088370 | 0.790748 | 0.035736 | -0.693321 | -0.248626 | 0.463776 | 0.697851 | -0.627703 | -0.648457 | 0.224406 | 0 | -2.051233 | -0.085887 | -0.470583 | -0.469040 | 0.287113 | 0.644390 | 5 |
| 2 | 2 | -0.356529 | 0.040349 | -0.060067 | -0.258851 | -0.801883 | -0.389999 | 0.065352 | 0.673464 | -0.600445 | -0.089182 | 0.276663 | -0.677080 | 0.573952 | 2.556820 | 1.188078 | 0.216086 | -0.576937 | 0.382713 | 0.537619 | -0.345719 | 0.044991 | -0.094871 | -0.231298 | -0.350530 | -0.740778 | -0.107225 | -0.651193 | 2.142765 | -0.136912 | 0.007528 | 2.066775 | -0.232238 | 0.005915 | 1.691028 | -0.343077 | 1.419622 | 0.283896 | -0.344671 | -0.677470 | 0.476853 | 0.474825 | -0.082117 | 0.573172 | -0.276464 | 0.927808 | -0.321233 | 2.243320 | 0.701813 | -0.560788 | 0.357039 | -0.320229 | 0.279913 | 0.025195 | 0.510778 | 0.04931 | -0.605261 | -0.192426 | 0 | -0.829393 | 1.563906 | 0.008661 | -0.287551 | 0.360391 | -0.098595 | 0.039586 | 0.041519 | -0.589220 | 0.566940 | 0.522595 | -0.865328 | 0.393815 | -0.596316 | 0.219402 | -0.684740 | -0.619633 | 0.811858 | 2.094923 | 0 | 0.025525 | -0.407176 | 0.043626 | -0.273089 | -0.058712 | 0.175270 | -1.027254 | -0.255697 | -0.079212 | -0.318896 | 0.05014 | -0.691016 | -0.226950 | -0.096861 | 0.035736 | 0.120473 | -0.405451 | -0.050553 | 0.360862 | 1.018648 | 0.638823 | -0.573316 | 0 | 0.904288 | -0.672168 | -0.697352 | -0.628868 | 1.977659 | -0.351594 | 2 |
| 3 | 3 | -0.098012 | 0.040349 | -0.067333 | -0.282342 | 0.046598 | -0.833941 | 1.045068 | -0.643123 | -0.082168 | -0.422782 | 0.230018 | -0.717009 | -0.824792 | 1.090670 | 0.267044 | 0.225201 | -1.137267 | -0.012555 | -0.096395 | -0.171722 | 0.044991 | -0.753760 | -0.326208 | 0.088394 | -0.685473 | -0.225077 | -0.175330 | -0.153896 | 0.595533 | -0.139088 | -0.295413 | 0.326379 | 0.005915 | -0.591655 | -0.685187 | -0.001910 | -0.507021 | 0.636483 | 0.615620 | -0.246011 | 0.224315 | -0.095714 | 1.112393 | -1.238927 | -0.055911 | -0.765809 | 0.131644 | -0.697852 | 0.266377 | 0.583258 | -0.262057 | 0.443781 | -0.839947 | -0.296705 | 0.04931 | -0.642804 | -0.160610 | 0 | -0.001556 | 0.557018 | 0.008661 | 1.230341 | -0.386216 | -0.505186 | 0.039586 | 0.041519 | -0.574801 | 0.637173 | -0.582591 | 0.001369 | 0.140128 | -0.626214 | 0.529506 | -0.258110 | -0.288176 | -0.077964 | 0.185813 | 0 | 0.025525 | 0.145310 | 0.043626 | -0.051966 | -0.751649 | 0.418634 | -0.089796 | -0.236962 | 0.426852 | 1.084419 | 0.05014 | 0.608165 | 0.196897 | -0.298012 | 0.035736 | 0.250629 | 0.048867 | 0.241217 | 0.591767 | -0.196262 | -0.134821 | -0.313010 | 0 | -0.225238 | -0.446245 | 0.616406 | -0.033986 | -0.630674 | -0.131926 | 2 |
| 4 | 4 | 0.311708 | 0.040349 | -0.054907 | 2.910872 | 0.030121 | -1.027887 | 0.531353 | -0.282537 | 0.666635 | 0.513328 | 0.245904 | -0.817731 | 0.330986 | 1.996159 | 1.280943 | 0.201381 | -0.015055 | -0.012588 | -0.444772 | -0.040747 | 0.044991 | 0.376811 | -0.326074 | -0.515980 | 0.002640 | -0.027256 | 0.197807 | 1.621992 | -0.666606 | -0.729713 | 1.607595 | -0.709955 | 0.005915 | 1.208215 | 0.496245 | 1.696166 | -0.560222 | 0.216505 | 0.089929 | -0.703521 | -0.429164 | -0.082117 | 0.980877 | 0.091626 | 1.293595 | -0.011781 | 0.299061 | 0.663926 | -0.133311 | 0.189763 | 1.993338 | -0.147481 | -0.089989 | -0.120819 | 0.04931 | -0.666172 | 0.301553 | 0 | -0.311748 | 1.183734 | 0.008661 | -0.151184 | -0.281440 | -0.083392 | 0.039586 | 0.041519 | -0.238782 | 0.359378 | -0.094055 | 0.543627 | -1.016257 | -0.637687 | 0.632689 | 0.097347 | -0.400223 | 0.619537 | 1.297021 | 0 | 0.025525 | -0.131576 | 0.043626 | 0.843661 | -1.391137 | 1.089610 | -0.041449 | -0.174329 | -0.087718 | -0.212396 | 0.05014 | -0.396287 | -0.850731 | -0.528353 | 0.035736 | -0.673276 | -0.085837 | 0.261625 | 0.433410 | 1.357540 | 0.242963 | -0.436885 | 0 | -0.968504 | 0.617106 | -0.560295 | -0.632445 | 1.803191 | -0.713413 | 2 |
| 5 | 5 | 0.137509 | 0.040349 | -0.080199 | -0.282342 | 0.359780 | 0.117761 | -0.183238 | -0.097881 | -0.082168 | -0.153528 | 0.273979 | -0.075304 | 0.359787 | 0.169534 | 0.077679 | 0.234362 | -0.547542 | 0.708977 | -0.135268 | 0.289214 | 0.044991 | 0.726029 | 2.765123 | 0.020163 | -0.166476 | 0.700288 | 0.346546 | -1.400593 | 0.317566 | -0.712728 | -0.584515 | -0.032968 | 0.005915 | -0.055945 | 0.798004 | 0.468677 | 0.729577 | 0.112195 | -0.699477 | 0.684153 | -0.105249 | 0.030932 | 0.359952 | -0.813484 | -0.043722 | -0.493864 | -0.728308 | -0.089606 | -0.110244 | -0.892163 | -0.149984 | -0.149908 | 0.488468 | -0.243782 | 0.04931 | 0.182685 | -0.923931 | 0 | -0.374444 | -0.419026 | 0.008661 | 0.021983 | -0.589723 | -0.083392 | 0.039586 | 0.041519 | -0.007851 | -0.119908 | -0.407873 | -0.283088 | -0.686400 | 0.235603 | 1.093616 | -0.529263 | -0.332392 | -0.174432 | 0.785268 | 0 | 0.025525 | -0.343903 | 0.043626 | -0.089016 | -0.158302 | -0.290796 | -0.552712 | -0.254584 | -0.087718 | -0.206388 | 0.05014 | -0.353492 | -0.335718 | -0.371659 | 0.035736 | 0.316978 | 0.559653 | 0.380818 | -0.351876 | -0.597444 | 0.413400 | -0.472620 | 0 | -0.751939 | -0.975562 | -0.278016 | -0.519178 | -0.511697 | -0.320250 | 5 |
| 6 | 6 | -0.286006 | 0.040349 | -0.085060 | 0.233287 | -0.280694 | -0.746541 | 0.173445 | -0.994501 | -0.167321 | 0.322848 | -1.448137 | -0.146953 | 0.222622 | 0.454593 | 0.506714 | 0.136454 | 0.995874 | -0.379905 | 0.313931 | -0.211998 | 0.044991 | -0.056984 | -0.242715 | -0.105186 | 1.029762 | 0.437436 | 0.519836 | 0.475885 | -0.046910 | -0.511100 | -0.098175 | -0.157695 | 0.005915 | 1.194459 | 1.463340 | 0.393827 | -1.313378 | 0.567324 | -0.294226 | 0.051036 | -0.463948 | -0.278972 | -0.285122 | -1.064125 | 0.723432 | -0.416525 | -0.213304 | 0.424826 | -0.177535 | 0.028662 | -0.689419 | 0.371545 | 0.183190 | -0.426994 | 0.04931 | -0.369888 | 0.240646 | 0 | -0.311134 | 0.688798 | 0.008661 | -0.046521 | 1.992559 | 0.322362 | 0.039586 | 0.041519 | 0.067171 | 0.082046 | 0.175391 | 0.511424 | 0.831882 | -0.625630 | -1.044712 | -0.504177 | -0.713966 | -0.377333 | 0.289089 | 0 | 0.025525 | -0.251364 | 0.043626 | -0.260852 | -0.621683 | -0.338472 | -0.540210 | -0.238112 | -0.119114 | -0.346800 | 0.05014 | 0.627183 | 0.112490 | 0.254977 | 0.035736 | -0.074412 | -0.229682 | 0.324240 | -0.457738 | 0.148001 | -0.092495 | 0.898160 | 0 | -0.314258 | -0.248880 | -0.528547 | -0.009768 | -0.739349 | 0.091222 | 2 |
| 7 | 7 | 0.246204 | 0.040349 | -0.071830 | -0.343145 | -0.444377 | 0.077618 | -0.303417 | 0.521727 | -0.431214 | -0.670522 | 0.286750 | 0.030374 | -0.511032 | -0.258420 | 0.215743 | -0.934776 | -0.815026 | 0.669775 | -0.431354 | -0.115572 | 0.044991 | 0.692235 | -0.197648 | -0.560275 | -0.566860 | -0.292986 | -0.463798 | -0.448984 | -1.165367 | 1.199810 | -0.092194 | 0.509734 | 0.005915 | -0.590210 | -0.498921 | -0.681448 | -1.214166 | -0.662814 | -0.209278 | 0.264761 | -0.461434 | -0.398539 | -0.930330 | -0.479080 | 0.000040 | -0.207970 | 0.496973 | -0.209229 | 0.057147 | -0.816553 | -0.281408 | -0.087523 | -0.721293 | 0.291764 | 0.04931 | 0.031056 | 0.320369 | 0 | -0.505596 | -1.288678 | 0.008661 | 0.994730 | -0.281440 | -0.083392 | 0.039586 | 0.041519 | -0.428310 | 0.210443 | -0.258615 | -0.049673 | -1.087054 | 0.244140 | 0.449009 | -0.619668 | -0.770026 | -0.125015 | 0.153214 | 0 | 0.025525 | -0.106223 | 0.043626 | -1.036815 | -0.183440 | -0.257247 | 0.561811 | -0.222291 | 0.585866 | -0.199586 | 0.05014 | -0.945198 | -0.591664 | 0.241320 | 0.035736 | -0.113751 | 0.070604 | 0.254086 | -0.876090 | -0.672767 | -0.129819 | 0.032502 | 0 | 0.567268 | 0.455919 | -0.396963 | -0.393722 | -0.032105 | -1.359533 | 3 |
| 8 | 8 | 1.178692 | 0.040349 | -0.088175 | -0.282342 | -0.380398 | 0.804421 | -1.202351 | 0.034869 | -0.267818 | 0.110502 | 0.188295 | -0.511381 | -0.092474 | -0.126253 | -0.032569 | -0.950837 | 0.135467 | 0.471617 | -0.243251 | 0.633824 | 0.044991 | 0.021005 | -0.269548 | -0.082057 | -0.621885 | -0.826519 | -0.891259 | 0.459848 | -0.050205 | -0.618815 | -0.649916 | -0.614027 | 0.005915 | -0.949576 | -0.231050 | -0.339631 | -0.309752 | 0.619967 | -0.065339 | 0.468172 | -0.485545 | 0.169461 | -0.477449 | 0.117554 | -0.105776 | -0.563180 | -0.076744 | -0.906058 | 0.055994 | -0.646189 | -0.675171 | -0.402170 | -0.676688 | -0.583980 | 0.04931 | -0.030272 | 0.284477 | 0 | -0.652365 | 0.680195 | 0.008661 | -0.107155 | -0.036846 | 0.134223 | 0.039586 | 0.041519 | -0.629021 | -0.427079 | 0.539620 | -0.682150 | 0.886568 | 0.197868 | 0.075962 | -0.224917 | -0.731589 | 0.884980 | -0.911818 | 0 | 0.025525 | -0.105360 | 0.043626 | -0.005516 | 0.748902 | -0.470886 | -0.062848 | -0.268955 | -0.087718 | -0.261942 | 0.05014 | -0.508701 | -0.548916 | 0.067315 | 0.035736 | 0.352210 | 0.011693 | 0.185260 | -0.095866 | 0.055569 | 0.643962 | 0.200526 | 0 | -0.451572 | 0.179746 | 0.104109 | 1.084264 | -0.149949 | 0.682459 | 0 |
| 9 | 9 | 0.030997 | 0.040349 | -0.083271 | 2.252849 | -0.619767 | 0.737727 | -0.891742 | -0.788166 | -0.599645 | -0.151892 | 0.163378 | -0.075304 | -0.056477 | -0.264539 | -0.414022 | -0.919700 | -0.399476 | -0.087675 | -0.508725 | 1.063681 | 0.044991 | -0.188978 | -0.308246 | -0.611606 | -0.604760 | -0.089476 | -0.084175 | -0.297100 | 0.089751 | 0.376408 | -0.147250 | 0.438724 | 0.005915 | -0.198094 | -0.375031 | 1.017838 | 0.699989 | -0.218021 | -0.422444 | -0.099068 | -0.754573 | -0.409833 | -0.513981 | 0.580963 | -0.140019 | -0.044504 | -0.316301 | -0.701539 | -0.102087 | -0.117415 | 1.841821 | -0.734756 | -0.362148 | -0.100060 | 0.04931 | -0.241325 | -0.103354 | 0 | 0.310610 | 0.006593 | 0.008661 | -1.103709 | 0.548505 | -0.553806 | 0.039586 | 0.041519 | 0.181448 | 0.311856 | -0.059677 | 0.501261 | -0.904976 | 0.240005 | -0.399441 | -0.359844 | -0.527963 | -0.187741 | -0.048898 | 0 | 0.025525 | -0.364913 | 0.043626 | 0.247180 | -0.446755 | -0.545176 | -0.483346 | -0.284533 | -0.376079 | 1.122209 | 0.05014 | 0.406127 | 0.367964 | 0.770931 | 0.035736 | 0.066326 | -0.791376 | -0.092050 | -0.950615 | -1.110754 | 0.372799 | -0.081579 | 0 | -0.411334 | 0.674081 | 0.381341 | 0.207312 | -0.833570 | -0.764754 | 0 |
Val
| id | feature0 | feature1 | feature2 | feature3 | feature4 | feature5 | feature6 | feature7 | feature8 | feature9 | feature10 | feature11 | feature12 | feature13 | feature14 | feature15 | feature16 | feature17 | feature18 | feature19 | feature20 | feature21 | feature22 | feature23 | feature24 | feature25 | feature26 | feature27 | feature28 | feature29 | feature30 | feature31 | feature32 | feature33 | feature34 | feature35 | feature36 | feature37 | feature38 | feature39 | feature40 | feature41 | feature42 | feature43 | feature44 | feature45 | feature46 | feature47 | feature48 | feature49 | feature50 | feature51 | feature52 | feature53 | feature54 | feature55 | feature56 | feature57 | feature58 | feature59 | feature60 | feature61 | feature62 | feature63 | feature64 | feature65 | feature66 | feature67 | feature68 | feature69 | feature70 | feature71 | feature72 | feature73 | feature74 | feature75 | feature76 | feature77 | feature78 | feature79 | feature80 | feature81 | feature82 | feature83 | feature84 | feature85 | feature86 | feature87 | feature88 | feature89 | feature90 | feature91 | feature92 | feature93 | feature94 | feature95 | feature96 | feature97 | feature98 | feature99 | feature100 | feature101 | feature102 | feature103 | feature104 | feature105 | feature106 | label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | -0.842151 | 0.054824 | -0.335507 | -0.515349 | -0.726883 | -0.561130 | -0.323177 | -0.967618 | -0.068165 | 1.397041 | -0.605764 | 0.056143 | -0.194174 | -0.365746 | -0.375428 | 0.378805 | -1.096644 | 0.829365 | 0.556752 | -1.163843 | 0.058478 | 0.521782 | -0.331517 | -0.811398 | -0.060534 | -0.484799 | 0.071338 | -0.268027 | -0.052250 | -0.299113 | -0.437982 | 0.431447 | 0.017935 | 0.031980 | -0.024018 | -0.240033 | -0.155858 | -0.199998 | -0.340764 | -0.000816 | 0.582846 | -0.652802 | 0.908497 | -0.577034 | -0.347136 | -0.232402 | -0.196577 | 0.456309 | -0.277282 | -0.100554 | 0.082092 | -0.255212 | -0.413453 | -0.180653 | 0.043692 | -0.467567 | -0.238548 | 0 | -0.760141 | -0.023786 | 0.061181 | -0.382731 | 0.427295 | -1.076965 | 0.003963 | 0.043716 | 0.067789 | 0.543549 | 0.403660 | 0.449385 | 0.692512 | 0.412425 | -0.767559 | -0.539614 | -0.845437 | -0.598224 | -0.627018 | 0 | 0.060800 | -1.144369 | 0.064168 | 0.332922 | -0.236646 | -0.399699 | 0.010570 | -0.230925 | -0.106615 | 0.537546 | 0.028917 | -0.220832 | 0.173921 | 1.040716 | 0.083211 | 0.771868 | 0.406310 | 0.098429 | -0.030533 | -0.165332 | -0.673984 | -0.183259 | 0 | -0.466722 | 0.421997 | -0.919989 | -0.041072 | 0.062998 | 0.436932 | 4 |
| 1 | 1 | -0.765238 | -12.054645 | -6.743372 | 0.608872 | 9.005484 | -0.849938 | -0.637686 | 0.232127 | 3.273491 | 9.306760 | -0.650392 | -0.770988 | -0.346924 | 1.920579 | 3.117891 | 5.357281 | 6.032824 | -0.544388 | -1.156604 | 4.321707 | 0.058478 | 9.291906 | 0.224423 | 0.723537 | 6.424814 | 2.211412 | 0.641392 | 2.594387 | 8.293768 | -0.266573 | 2.237584 | 9.881303 | -7.376922 | 2.297825 | -0.268553 | 0.588431 | 5.898246 | 3.557398 | -0.288478 | 1.445776 | 0.157760 | -3.192537 | -1.265735 | 0.542210 | 7.666364 | -0.168683 | -0.173037 | 0.584220 | -0.239177 | 0.885067 | -0.035410 | 0.013334 | 10.551133 | -0.768545 | 0.043692 | 0.849882 | -0.057688 | 0 | 0.370005 | 4.543140 | 0.337278 | -1.040602 | 4.877785 | 0.916777 | -1.574538 | -4.949919 | 0.193062 | -0.891351 | -0.995771 | -2.101966 | -0.490556 | -0.684534 | -0.353529 | 3.820763 | 3.483461 | -0.477725 | 3.956845 | 0 | 1.080750 | 4.502692 | 0.064168 | -1.104086 | 3.439453 | 4.621394 | -0.545770 | -0.077606 | 0.489506 | 0.220169 | 7.135785 | 9.464239 | 9.069472 | 0.975843 | -11.364529 | -0.490847 | 0.261290 | -0.371719 | -0.511534 | 0.466154 | -2.546042 | -2.049592 | 0 | 5.468378 | 0.427630 | -3.178419 | -2.504697 | 0.117223 | 3.195032 | 2 |
| 2 | 2 | 0.528383 | 0.054824 | -0.332851 | -0.292992 | 1.235085 | 0.761190 | -0.227667 | -0.996479 | -0.068165 | -0.180212 | 0.228274 | -0.211345 | -0.585049 | -0.464874 | -0.675095 | 0.419084 | 0.044333 | -0.009176 | -0.563616 | -1.165912 | 0.058478 | -0.057069 | -0.247547 | 0.125616 | 0.973088 | -0.804828 | -0.088448 | -0.210953 | -0.636829 | -0.607542 | -0.612587 | 0.516276 | 0.017935 | -0.285708 | -0.129294 | -0.732387 | -0.374838 | 0.375658 | -0.634423 | 0.105711 | -0.708954 | 0.142690 | 0.196514 | -0.658661 | -0.586197 | -0.156084 | -1.239976 | 0.808425 | -1.200042 | -0.358306 | -0.458552 | 0.309714 | -0.853216 | -0.063599 | 0.043692 | 0.329319 | -0.054627 | 0 | -0.064774 | -0.338681 | 0.061181 | -0.604319 | -1.419527 | 0.274286 | 0.003963 | 0.043716 | 0.506121 | -1.032507 | 0.411503 | -0.156118 | -0.867376 | -0.708605 | -1.222043 | 0.228185 | -0.629186 | -0.390818 | 0.153031 | 0 | 0.060800 | -0.081927 | 0.064168 | -0.662998 | 1.454432 | 0.045570 | 0.720734 | -0.218791 | 0.894933 | 0.804760 | 0.028917 | 0.005252 | 0.233087 | 1.690035 | 0.083211 | 0.206611 | 0.495932 | -0.595890 | 0.856007 | -0.607368 | -0.120104 | 0.120867 | 0 | -0.136263 | -0.426704 | -0.010676 | 1.365180 | -0.476585 | -0.153459 | 0 |
| 3 | 3 | 1.685038 | 0.054824 | -0.351784 | -0.511500 | -1.058653 | -0.482323 | 0.019659 | 0.063327 | 0.505915 | -0.224786 | 0.243625 | -0.690833 | -0.377481 | -0.550126 | -0.341340 | -1.256459 | -0.518265 | -0.944055 | -0.648608 | -0.958272 | 0.058478 | -0.499893 | -0.295968 | -0.356802 | 0.244972 | -0.287922 | -0.088448 | -0.351223 | -0.739670 | -0.401534 | -0.315241 | 0.670886 | 0.017935 | 0.165679 | -0.460137 | -0.648672 | 0.248108 | -0.624126 | 0.013361 | 0.250026 | -0.292210 | 0.292669 | 0.621701 | 1.078101 | -0.811827 | -0.342961 | -0.077893 | -0.063572 | -0.475767 | -0.346936 | 0.123721 | -0.503870 | 0.826100 | -0.118443 | 0.043692 | 0.368747 | 0.797311 | 0 | -0.446092 | 0.291212 | 0.061181 | 0.040722 | -1.449304 | -1.201631 | 0.003963 | 0.043716 | -0.870373 | -0.716912 | -0.750554 | -0.521650 | 0.423718 | 0.381458 | 0.423851 | 0.419509 | 0.569605 | -0.084525 | -0.221589 | 0 | 0.060800 | -1.111035 | 0.064168 | -0.145873 | 0.187625 | -0.471758 | -0.617096 | -0.256187 | -0.336485 | -0.232616 | 0.028917 | -0.605090 | 0.246954 | -0.786549 | 0.083211 | -0.718391 | 0.126489 | -0.418509 | -1.104259 | -0.459543 | -0.062640 | -0.484260 | 0 | -0.601166 | 0.097563 | 0.833976 | 1.190002 | -0.181255 | 0.116022 | 3 |
| 4 | 4 | -0.309150 | 0.054824 | -0.327890 | 1.137362 | -0.189059 | -0.118502 | -0.075296 | -0.616889 | 0.639770 | -0.640880 | 0.266467 | -0.039273 | 0.078732 | 0.066527 | -0.025062 | 0.410526 | 0.052329 | -0.283590 | -0.642237 | -0.268943 | 0.058478 | -0.260018 | -0.309050 | -0.284287 | -0.068132 | -0.611576 | -0.489807 | -0.656767 | 0.249492 | -0.785067 | -0.208514 | -0.547085 | 0.017935 | -0.246483 | -0.389783 | -0.186210 | 0.596869 | 0.388113 | -0.288478 | 0.698693 | 1.304463 | 1.340290 | -0.940845 | -0.183788 | 2.348681 | 0.072027 | 2.937378 | -0.721914 | 0.148907 | -0.725866 | 0.074158 | -0.004372 | 0.193850 | 0.363999 | 0.043692 | -0.711744 | 0.013591 | 0 | -1.134584 | -0.296844 | 0.061181 | 0.285793 | -0.755167 | 0.457280 | 0.003963 | 0.043716 | 1.427828 | 0.492159 | -1.020813 | -0.223829 | 0.095936 | -0.648891 | 0.631224 | 0.710298 | -0.360413 | -0.405353 | -0.754054 | 0 | 0.060800 | -0.945131 | 0.064168 | -0.283267 | 0.361618 | -0.271066 | 0.712087 | -0.252139 | 0.664390 | 0.034425 | 0.028917 | 0.510248 | -0.419366 | 0.083679 | 0.083211 | -0.627691 | -0.405428 | -1.183519 | -0.485085 | 0.152329 | 0.356502 | -0.328809 | 0 | 1.286417 | -0.082562 | -1.420238 | 0.475194 | -0.262591 | -0.388644 | 2 |
| 5 | 5 | -0.595695 | 0.054824 | -0.338638 | -0.557065 | -0.071087 | 0.071034 | -0.089274 | -0.695420 | 1.196111 | -1.802550 | 0.294540 | 1.457715 | -0.789903 | -0.047518 | -0.280242 | -2.013314 | -0.049691 | -0.084747 | -0.549802 | -1.298978 | 0.058478 | 0.632111 | -0.320866 | -0.871032 | -0.037176 | -0.952928 | -0.434658 | -0.403196 | -0.577405 | 0.207033 | -0.366387 | 0.578671 | 0.017935 | -0.393203 | -0.064699 | -0.214306 | 0.047614 | -0.079821 | 1.334798 | -0.195340 | -0.725536 | -0.489358 | -0.217919 | 0.685794 | 0.488141 | -0.366469 | 0.413933 | -0.079017 | 0.466448 | 0.482646 | -0.150501 | -0.151352 | -0.622140 | -0.069230 | 0.043692 | 0.577803 | 0.325457 | 0 | 0.257594 | -0.539248 | 0.061181 | -0.248731 | -0.229480 | -0.098327 | 0.003963 | 0.043716 | -1.123246 | 0.136483 | 0.523382 | 0.469862 | 0.317839 | 0.399142 | 0.838141 | 0.463029 | 0.704259 | 0.274477 | -0.203707 | 0 | 0.060800 | -0.081927 | 0.064168 | -0.152757 | -0.367554 | -0.325622 | -1.308729 | -0.245407 | 0.263215 | -0.084876 | 0.028917 | 0.338825 | 0.028848 | 0.268417 | 0.083211 | 0.869501 | 0.454264 | -0.395204 | -1.017312 | -0.178556 | -0.019897 | 0.137687 | 0 | -1.370887 | 0.815412 | -1.017487 | 0.808335 | -0.556286 | 0.379670 | 3 |
| 6 | 6 | 2.336341 | 0.054824 | -0.351353 | 0.485600 | -0.210439 | -0.852065 | -0.318075 | 0.099154 | 0.244916 | 0.870021 | 0.284324 | 0.193682 | -0.157514 | -0.289762 | 0.054801 | 0.387750 | -0.245058 | 0.487018 | 0.015497 | -0.181292 | 0.058478 | 0.062917 | -0.351423 | 0.407802 | 0.457154 | 0.174805 | 0.483910 | -0.052732 | -0.426233 | 0.523791 | -0.446045 | 0.491177 | 0.017935 | -0.880762 | -0.173089 | -0.703906 | -1.306600 | 0.775246 | -0.589342 | -0.604780 | -0.292210 | 0.525334 | -0.519582 | 0.989490 | -0.483743 | -0.185410 | -0.809749 | -0.079233 | 1.699090 | -0.087382 | -0.223781 | 0.125447 | 0.532107 | -0.618608 | 0.043692 | -0.200126 | -0.939627 | 0 | -0.281682 | -0.206095 | 0.061181 | -1.026781 | 0.173306 | 0.809711 | 0.003963 | 0.043716 | -0.567775 | -0.017762 | -0.076198 | -0.480631 | 0.438190 | 0.403539 | 0.166112 | -0.033266 | 0.413528 | 0.488352 | -0.036541 | 0 | 0.060800 | 0.127850 | 0.064168 | -0.145873 | 1.064032 | -0.271271 | -0.361826 | -0.241418 | 1.425771 | -0.097901 | 0.028917 | 1.029948 | -0.657379 | 0.877670 | 0.083211 | 0.112703 | -0.441079 | 0.074469 | -1.345659 | -0.518361 | -1.631822 | 0.594507 | 0 | -0.460362 | -0.692003 | 0.406713 | -1.582841 | -0.442323 | -0.273853 | 3 |
| 7 | 7 | -0.839185 | 0.054824 | -0.328936 | 1.072728 | -0.198758 | -0.830451 | -0.098316 | -0.680032 | -0.832358 | 0.551596 | -0.643824 | -0.306488 | -0.473119 | 0.144496 | 0.973999 | 0.397384 | -0.417096 | -0.777487 | -0.021688 | -0.448811 | 0.058478 | -0.297972 | -0.376114 | -0.906542 | -0.283572 | -0.064339 | -0.571564 | 0.664161 | -0.663533 | -0.441510 | 0.924466 | -0.480038 | 0.017935 | 0.528748 | -0.161147 | 0.239501 | 0.238392 | -0.378686 | -0.451275 | 0.946117 | -0.716137 | 0.709054 | -0.913466 | 0.246688 | -0.497357 | -0.244519 | -0.319437 | -0.338472 | -1.143283 | -0.398291 | 0.165611 | 0.134553 | -0.167052 | -0.431190 | 0.043692 | -0.608082 | -0.104689 | 0 | -0.063837 | 0.113759 | 0.061181 | -0.388316 | -0.813840 | -1.070971 | 0.003963 | 0.043716 | 1.091420 | -0.045263 | 0.093801 | -1.095169 | 0.485276 | -0.692372 | 0.487674 | -0.861857 | 0.186469 | 0.104737 | -0.261726 | 0 | 0.060800 | 0.404781 | 0.064168 | -0.501209 | -0.683675 | -0.685963 | 0.133306 | -0.256172 | 0.478948 | -0.390203 | 0.028917 | -0.406995 | 0.581200 | -0.814645 | 0.083211 | -1.324403 | -1.243722 | 0.830986 | -0.864643 | 0.566919 | -0.874843 | 0.260356 | 0 | 0.431470 | 0.674620 | 0.578858 | -0.511567 | 0.833746 | -0.453190 | 2 |
| 8 | 8 | 0.504697 | 0.054824 | -0.360768 | -0.695516 | -0.081392 | -0.792586 | -0.416191 | -0.240705 | 0.620925 | 0.191211 | 0.244287 | 0.360357 | -0.086442 | -0.332141 | -0.232320 | 0.379938 | 0.332368 | -0.101620 | -0.439823 | -0.279747 | 0.058478 | -0.123595 | -0.316154 | -0.469521 | -0.051323 | 0.873522 | 1.441422 | -0.228169 | -0.775085 | -0.445031 | -0.140064 | -0.624866 | 0.017935 | -0.007517 | -0.120980 | -0.746091 | -1.319164 | -0.054528 | -0.065946 | -0.525489 | -0.607431 | -0.037274 | -0.478073 | -0.763027 | -0.808326 | -0.103557 | -0.648914 | -0.744147 | -1.137655 | -0.100554 | 0.276216 | -0.260853 | 0.501390 | -0.401755 | 0.043692 | -0.297190 | -0.405213 | 0 | 1.306905 | 0.030697 | 0.061181 | -0.261005 | -0.503295 | -1.039024 | 0.003963 | 0.043716 | 0.440958 | -0.745457 | -0.598179 | -0.601049 | -0.073297 | 0.368781 | 0.318059 | 0.364379 | 0.434507 | 0.332445 | -0.357480 | 0 | 0.060800 | -0.991333 | 0.064168 | -0.260452 | -0.391010 | 0.249237 | 0.081090 | -0.254571 | 0.903819 | -1.319656 | 0.028917 | 0.733766 | -0.067336 | -0.669052 | 0.083211 | 0.454758 | 0.022981 | 0.831683 | 0.486175 | -0.199649 | 0.301755 | 0.156673 | 0 | -0.812989 | -0.363514 | -0.579272 | -0.297841 | -0.304144 | -0.273853 | 0 |
| 9 | 9 | 4.641051 | 0.054824 | -0.363316 | 6.339054 | 0.271385 | 2.267824 | 1.028642 | -0.762848 | 0.077120 | 1.756133 | 0.381996 | 1.030962 | 0.780487 | -0.106182 | -0.215007 | 0.392612 | -1.038576 | -1.623067 | 9.240971 | 2.024737 | 1.961177 | -0.057069 | -0.509103 | -0.064113 | 4.630073 | 0.044521 | 1.030660 | -0.217885 | 8.748587 | 1.220022 | 2.752305 | 1.080160 | -2.994208 | -0.693849 | -3.417021 | -2.014401 | 0.364084 | 0.132258 | 3.328317 | 5.348763 | 0.232515 | 3.444416 | 2.824146 | -0.235330 | 8.971866 | -0.166066 | 4.345714 | 8.406940 | -0.094582 | -0.387548 | 10.144822 | -0.082346 | 0.832528 | 2.714082 | -1.682737 | 1.683813 | 0.641365 | 0 | 0.813146 | -0.195773 | -2.722029 | 7.444454 | 5.221711 | 0.686300 | -2.360686 | -13.489401 | -0.734015 | -0.015700 | -0.913441 | 2.071565 | -2.168428 | -1.522138 | 4.444697 | 10.226575 | -0.853873 | 0.628384 | 0.583373 | 0 | -2.059922 | 5.408396 | 0.050765 | -0.281980 | -0.226428 | -1.547374 | 3.801900 | -0.125610 | -0.544423 | -1.522480 | -8.289729 | -2.865823 | -0.797618 | 5.412074 | 0.083211 | -0.029164 | 4.467286 | -3.027186 | 0.664958 | 3.116093 | -0.613141 | -0.858744 | 0 | 4.024755 | 9.400470 | 0.373675 | 10.295660 | 3.364643 | 6.276132 | 2 |
Train
| id | feature0 | feature1 | feature2 | feature3 | feature4 | feature5 | feature6 | feature7 | feature8 | feature9 | feature10 | feature11 | feature12 | feature13 | feature14 | feature15 | feature16 | feature17 | feature18 | feature19 | feature20 | feature21 | feature22 | feature23 | feature24 | feature25 | feature26 | feature27 | feature28 | feature29 | feature30 | feature31 | feature32 | feature33 | feature34 | feature35 | feature36 | feature37 | feature38 | feature39 | feature40 | feature41 | feature42 | feature43 | feature44 | feature45 | feature46 | feature47 | feature48 | feature49 | feature50 | feature51 | feature52 | feature53 | feature54 | feature55 | feature56 | feature57 | feature58 | feature59 | feature60 | feature61 | feature62 | feature63 | feature64 | feature65 | feature66 | feature67 | feature68 | feature69 | feature70 | feature71 | feature72 | feature73 | feature74 | feature75 | feature76 | feature77 | feature78 | feature79 | feature80 | feature81 | feature82 | feature83 | feature84 | feature85 | feature86 | feature87 | feature88 | feature89 | feature90 | feature91 | feature92 | feature93 | feature94 | feature95 | feature96 | feature97 | feature98 | feature99 | feature100 | feature101 | feature102 | feature103 | feature104 | feature105 | feature106 | label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 263 | 263 | -0.555018 | 0.040349 | -0.098058 | 0.112604 | -0.828895 | -0.844631 | -0.523931 | 0.958973 | -0.082168 | 0.150268 | 0.218694 | -0.075304 | -0.780679 | -0.347626 | 0.089821 | 0.214794 | 0.411433 | -0.228131 | -0.800201 | -0.315063 | 0.044991 | -0.812448 | -0.244517 | -0.860670 | -0.361620 | -0.863127 | -0.544835 | -0.230118 | 0.076010 | 0.293727 | -0.630091 | -0.178550 | 0.005915 | -0.186754 | -0.300078 | 0.553760 | -0.900093 | 0.080352 | 0.514744 | 0.444932 | -0.417513 | -0.318575 | -0.909199 | -0.262100 | -0.510021 | -0.040099 | -0.560287 | -0.071965 | -0.793340 | 0.863918 | -0.288858 | 0.061395 | -0.269634 | 2.514644 | 0.04931 | -0.092928 | -1.271274 | 0 | 0.476988 | -0.470923 | 0.008661 | -0.410717 | -0.402790 | -0.201138 | 0.039586 | 0.041519 | -0.728756 | -0.503707 | 0.601008 | -0.010771 | -0.223912 | 0.203285 | -0.079317 | -0.710417 | 0.990003 | -0.077964 | -1.224624 | 0 | 0.025525 | -0.473833 | 0.043626 | -0.089016 | -0.368379 | -0.133872 | 0.912463 | -0.263025 | -0.625585 | -0.301712 | 0.05014 | 0.082602 | -0.547974 | -0.118303 | 0.035736 | -0.952377 | -0.269396 | 0.765728 | -0.618438 | -0.473121 | 0.595746 | 0.110001 | 0 | -0.046084 | 0.184039 | 0.144176 | -0.308996 | -0.611904 | -0.216074 | 0 |
| 264 | 264 | -0.645617 | 0.040349 | -0.090402 | 0.704188 | 0.155250 | -0.637662 | -0.336954 | -0.123473 | -0.606479 | -0.549487 | -1.456522 | -0.075304 | -0.100610 | 0.468060 | -0.770581 | 0.086731 | 0.503319 | -0.937633 | 0.011609 | -0.483408 | 0.044991 | -0.807918 | -0.309411 | 0.048900 | 0.112596 | 0.626148 | 0.542863 | -0.202355 | -0.911092 | -0.497593 | -0.033520 | -0.931796 | 0.005915 | 0.644121 | -0.653790 | 0.304543 | 0.481720 | 0.088551 | -1.306833 | 0.949489 | -0.515968 | -0.440867 | -0.367159 | -0.092819 | 0.423243 | -0.065962 | -0.594730 | 0.601972 | 0.580087 | 0.221214 | -0.691456 | -0.189818 | -0.591297 | 1.739626 | 0.04931 | -0.593042 | 0.413767 | 0 | -0.524419 | -0.628509 | 0.008661 | -0.137717 | 0.129569 | 0.527000 | 0.039586 | 0.041519 | 0.264958 | 0.046963 | -0.094055 | 0.009936 | -0.083424 | -0.679193 | 0.392645 | -0.475409 | -0.288176 | -0.085369 | 0.364817 | 0 | 0.025525 | -0.105360 | 0.043626 | 1.628150 | -0.093420 | -0.290796 | 0.258655 | -0.207258 | -0.999031 | -0.413460 | 0.05014 | -0.156616 | -0.411838 | -0.386772 | 0.035736 | -0.020739 | 0.319228 | -0.092050 | 0.666272 | 0.487077 | 0.241942 | -0.081579 | 0 | -1.036861 | -0.188229 | -0.709904 | 0.164110 | 0.725009 | -0.359106 | 2 |
| 265 | 265 | -0.410314 | 0.040349 | -0.081692 | -0.664834 | -0.173371 | -0.405488 | 0.525138 | 1.045807 | -0.589398 | 0.555756 | 0.256289 | -0.227445 | -0.707636 | -1.321729 | -0.027961 | 0.234740 | 0.925333 | -0.087675 | -0.193054 | -0.521965 | 0.044991 | -0.368602 | -0.166018 | 0.402872 | -0.278642 | -0.089476 | -0.874431 | -0.165975 | 0.594627 | -0.285079 | -0.512759 | -0.349657 | 0.005915 | 0.069754 | 0.417691 | -0.553333 | -0.240925 | 0.398994 | 0.034651 | 0.741630 | -0.422244 | -0.715591 | -0.030332 | -0.532233 | -0.795925 | -0.452007 | -1.407723 | 0.686590 | -0.328610 | -0.171382 | -0.540121 | 0.554930 | 0.706466 | -0.052188 | 0.04931 | -0.735066 | 0.146827 | 0 | -0.295604 | -0.021064 | 0.008661 | 0.681581 | -0.592877 | 0.722881 | 0.039586 | 0.041519 | 0.295158 | -0.483519 | -0.239100 | 0.248957 | -0.710949 | -0.649826 | 1.153111 | -0.286134 | -0.288176 | -0.077964 | -0.045479 | 0 | 0.025525 | 1.021174 | 0.043626 | 0.573330 | -1.385643 | -0.701355 | 0.101333 | -0.272361 | 0.179913 | -1.306260 | 0.05014 | -0.275798 | -0.362393 | -0.841760 | 0.035736 | -0.074412 | -1.033937 | -0.614722 | -1.638775 | -0.258050 | 0.144883 | -0.621445 | 0 | -0.826720 | -0.071944 | -0.398158 | 0.122428 | -0.919721 | -0.269590 | 0 |
| 266 | 266 | 0.333870 | 0.040349 | -0.087224 | -0.739282 | -0.588233 | -0.293311 | 0.328254 | -0.037926 | 0.340302 | -0.374156 | -0.988300 | 0.392021 | 0.517901 | -1.016216 | -0.623128 | 0.226682 | 0.925117 | -0.087675 | -0.386238 | 0.062585 | 0.044991 | 0.237887 | -0.319404 | -0.658397 | 0.211219 | 0.550180 | -0.084175 | -0.328027 | -0.076016 | -0.751433 | -0.137342 | 0.048153 | 0.005915 | -0.328709 | 0.008559 | -0.742789 | -0.055974 | 0.380711 | -0.446396 | -0.735757 | 0.446451 | -0.240681 | 0.384868 | 0.100196 | 0.397623 | 0.061330 | 0.005255 | -0.573528 | 0.107056 | 1.706405 | -0.288858 | -0.087523 | -0.089989 | -0.641785 | 0.04931 | -0.092928 | -0.082266 | 0 | -0.038609 | -0.576144 | 0.008661 | -0.332572 | -0.598937 | -0.458615 | 0.039586 | 0.041519 | -0.643453 | -0.327461 | -0.785610 | 0.044103 | -0.575147 | 0.256573 | 0.082358 | -0.473083 | 0.119614 | -0.605560 | -0.818160 | 0 | 0.025525 | -0.105360 | 0.043626 | 0.870038 | -0.093420 | -0.640208 | -1.143092 | -0.279759 | 0.030853 | -0.072707 | 0.05014 | -0.741190 | 0.320419 | 0.214646 | 0.035736 | -0.074412 | 0.214097 | 0.549055 | -0.191898 | -0.555316 | -0.911874 | 0.256015 | 0 | -0.635957 | 0.039352 | -0.387826 | -0.603055 | -0.192382 | 0.282525 | 4 |
| 267 | 267 | -0.414046 | 0.040349 | -0.105193 | -0.563893 | -0.074086 | -0.002092 | 0.199817 | 0.009246 | -0.482580 | 0.057855 | 0.320471 | -0.505688 | -0.300677 | -0.149169 | 0.679839 | -0.925105 | -0.070303 | -0.348378 | -0.410903 | -0.933821 | 0.044991 | -0.094871 | -0.169067 | -0.011250 | -0.226692 | -0.760100 | 0.531039 | -0.498579 | -1.118065 | -0.034173 | 0.327916 | 0.367466 | 0.005915 | -0.024102 | 0.997164 | -1.026757 | 0.251769 | -0.104003 | -1.080323 | -0.632036 | 0.538613 | -0.082117 | -0.401500 | -0.408678 | 0.609204 | -0.432357 | 1.037242 | -0.539670 | 0.001405 | 0.292358 | 0.168728 | -0.403329 | 0.169350 | -0.728247 | 0.04931 | -0.865178 | 1.108133 | 0 | -0.354374 | -0.683429 | 0.008661 | 0.211188 | -0.032930 | 0.072023 | 0.039586 | 0.041519 | 0.270411 | -0.227901 | -0.850890 | 0.501303 | 0.475591 | 0.199351 | 0.174186 | -0.551444 | -0.206372 | -0.699126 | -0.719971 | 0 | 0.025525 | 0.236803 | 0.043626 | 0.306388 | 0.475845 | -0.097916 | -0.072165 | -0.193420 | -0.829737 | 0.296793 | 0.05014 | -0.134180 | -0.155542 | 0.335598 | 0.035736 | 0.403092 | -0.291729 | -0.310864 | 0.900421 | -0.559200 | 0.470664 | -0.830483 | 0 | -0.463914 | 0.010790 | -0.362755 | -0.438061 | 0.937515 | -0.063247 | 3 |
| 268 | 268 | -0.107713 | 0.040349 | -0.080702 | -0.282757 | -0.462301 | -0.600717 | 0.499077 | -0.230139 | -0.140162 | 0.484828 | 0.285942 | -0.047955 | 0.593570 | -0.150512 | -0.583405 | -0.879972 | -0.144256 | 0.340466 | -0.789434 | -0.063980 | 0.044991 | -0.149400 | -0.148383 | 0.043237 | 0.057310 | 0.322648 | -0.115166 | -0.424667 | -0.693014 | 0.066732 | -0.147250 | 0.527851 | 0.005915 | -0.600306 | 0.754648 | -0.395307 | -0.071864 | -0.094017 | -0.191807 | -0.363601 | 0.413183 | -0.340562 | -0.309561 | -0.071742 | -0.359402 | -0.120962 | -0.569864 | -0.446309 | -0.398114 | -0.306807 | 2.038558 | -0.213188 | -0.446513 | -0.549535 | 0.04931 | -0.043529 | 0.460194 | 0 | 0.704303 | -0.532571 | 0.008661 | -0.151810 | -0.281440 | -0.133998 | 0.039586 | 0.041519 | -0.408861 | -0.826549 | -0.438770 | -0.127309 | -0.493177 | 0.203285 | -0.374110 | -0.622331 | -0.288176 | -0.868738 | -0.126614 | 0 | 0.025525 | -0.279563 | 0.043626 | -0.900045 | 0.495350 | 0.172955 | -0.076712 | -0.258624 | -0.279360 | 0.382895 | 0.05014 | 0.533600 | -0.208558 | 0.336190 | 0.035736 | 0.625549 | -0.476358 | -0.431953 | 0.468408 | -0.279195 | 0.332610 | -0.081579 | 0 | 0.609057 | 0.616206 | 0.238245 | -0.177337 | 0.158797 | 0.379035 | 3 |
| 269 | 269 | 0.337950 | 0.040349 | -0.074637 | -0.704747 | 0.279159 | 0.413818 | 0.155739 | 0.344237 | -1.219249 | 0.280583 | 0.276889 | -0.562177 | -0.421768 | -0.341979 | -0.177597 | 0.207040 | -0.492152 | 0.736345 | -0.096395 | 0.222022 | 0.044991 | -0.472741 | -0.217681 | -0.512343 | -0.435285 | -0.089476 | 0.320094 | -0.564701 | -0.192942 | 0.278885 | 0.254520 | 0.155542 | 0.005915 | -0.716421 | 0.409898 | 0.523541 | -0.010166 | -0.797010 | -1.046145 | -0.276573 | -0.690341 | -0.086362 | -0.496640 | 0.143171 | -0.177459 | -0.057052 | 0.280794 | -0.477621 | -0.861867 | -1.258410 | -0.304177 | -0.390221 | 0.573305 | -0.287043 | 0.04931 | 0.045264 | -1.474616 | 0 | -0.028839 | -1.028977 | 0.008661 | 0.852859 | -0.657184 | -0.390866 | 0.039586 | 0.041519 | 0.079029 | -1.014032 | -0.297956 | 0.512052 | -0.621616 | 0.208241 | 0.155784 | 2.056674 | -0.288176 | 0.511553 | 0.497360 | 0 | 0.025525 | 0.462375 | 0.043626 | 0.541596 | 0.959622 | -0.290796 | -0.402226 | -0.187180 | -0.087718 | -0.577884 | 0.05014 | 0.293613 | -0.331267 | 0.882757 | 0.035736 | -0.781749 | 0.448120 | -0.156939 | -0.102088 | -0.673025 | -0.808190 | -0.081579 | 0 | -0.551500 | 0.234568 | -0.278016 | -0.110572 | -0.194777 | 0.545178 | 0 |
| 270 | 270 | 0.083244 | 0.040349 | -0.058915 | -0.193070 | -0.203748 | -0.556509 | 0.176371 | -0.319678 | -0.333614 | -1.897004 | 0.294566 | -0.075304 | -0.100610 | -0.367444 | 0.360116 | 0.247991 | 0.726174 | -0.509402 | 0.122014 | -0.779814 | 0.044991 | -0.080172 | -0.174378 | -0.404010 | -0.374001 | -0.048262 | -0.084175 | -0.151431 | -0.529907 | -0.331834 | -0.349740 | -0.526896 | 0.005915 | 0.550106 | -0.640401 | 0.747767 | -0.286905 | -0.088905 | -0.486391 | -0.778721 | -0.105249 | -1.003552 | -0.241023 | -1.196290 | 0.483706 | 5.617245 | 0.440290 | -0.136861 | -0.714474 | 0.577466 | -0.239302 | -1.144467 | -0.531977 | -0.452775 | 0.04931 | 0.472876 | -0.090211 | 0 | 0.109036 | 0.522179 | 0.008661 | 0.579057 | -0.695915 | -0.229411 | 0.039586 | 0.041519 | -0.133409 | -0.504636 | 0.116530 | -0.108641 | -0.134383 | -0.655915 | 0.827211 | -0.165889 | -0.657994 | -0.077964 | -0.415301 | 0 | 0.025525 | -0.105360 | 0.043626 | -0.290877 | 0.120434 | -0.647382 | 0.212892 | 2.646938 | -0.087718 | 0.331329 | 0.05014 | -0.021697 | 0.674933 | -0.747308 | 0.035736 | -0.762789 | -0.022448 | -0.838829 | -0.454427 | -0.160353 | 0.056871 | -0.081579 | 0 | -0.487367 | 0.020771 | 0.108823 | 1.666069 | -0.069699 | -0.310415 | 1 |
| 271 | 271 | 0.126237 | 0.040349 | -0.098909 | 1.495516 | -0.074086 | -0.436140 | 0.013272 | -0.225228 | 0.586295 | 1.246247 | -0.683601 | 0.102227 | 0.138517 | 0.177426 | -0.890374 | 0.201381 | 0.033492 | -0.087675 | -0.096395 | -0.553960 | 0.044991 | -0.731259 | -0.253232 | -0.250108 | -0.278642 | -0.299237 | 0.466196 | -0.128413 | -0.294396 | -0.236314 | 0.195936 | 1.180733 | 0.005915 | -0.338567 | -0.292170 | 0.160497 | 0.069831 | -0.088905 | 0.323250 | 0.303732 | -0.481940 | -1.054500 | 0.364320 | -0.092819 | 0.253170 | -0.265404 | 0.413145 | -0.089606 | -0.741220 | 0.613674 | 1.017416 | 0.918588 | 0.533395 | 0.272972 | 0.04931 | -0.415400 | -0.219303 | 0 | -0.334714 | -0.154921 | 0.008661 | -0.012587 | -0.281440 | -0.090103 | 0.039586 | 0.041519 | -0.697618 | -1.285837 | 0.437245 | -0.826290 | 0.711923 | 0.203285 | -0.179032 | -0.620647 | 0.686425 | -0.167780 | -0.255307 | 0 | 0.025525 | 0.222526 | 0.043626 | 0.285944 | -0.093420 | -0.315941 | 0.160757 | 2.649700 | 0.504887 | 0.371237 | 0.05014 | 0.771028 | -0.853720 | -0.537821 | 0.035736 | 0.657439 | 0.553994 | -0.092050 | -0.921264 | -0.210150 | -0.487872 | -0.081579 | 0 | 0.092910 | 0.219066 | 0.491986 | -0.634624 | 0.212508 | 0.356688 | 4 |
| 272 | 272 | 0.337519 | 0.040349 | -0.066923 | -0.521177 | -0.761751 | -0.550883 | 2.864445 | -0.996008 | -0.082168 | 0.041301 | 0.218503 | -0.551276 | 0.319413 | 0.001105 | -0.167118 | 0.237314 | -0.413691 | -0.132664 | 0.525017 | -0.666894 | 0.044991 | -0.279192 | -0.277814 | 0.689661 | -0.466823 | 0.433970 | -0.632993 | -0.436518 | 0.824480 | -0.185242 | -0.092911 | 0.035419 | 0.005915 | 0.181962 | -0.674463 | -0.238721 | -0.392069 | -0.416360 | -0.597279 | -1.013396 | -0.331258 | -1.264548 | 0.261794 | 0.112637 | -0.071593 | -0.015767 | -0.794347 | -0.466417 | -1.100127 | -0.981275 | -0.456239 | -0.746571 | 0.032791 | 0.655583 | 0.04931 | 0.671540 | -1.035013 | 0 | 0.402236 | -0.298231 | 0.008661 | 0.630821 | 1.512879 | -0.083392 | 0.039586 | 0.041519 | 0.218663 | 0.221811 | 0.621443 | -0.108641 | 0.212310 | -0.585759 | 0.201353 | 1.747554 | -0.311622 | -0.004113 | -0.167456 | 0 | 0.025525 | -0.413449 | 0.043626 | -0.154566 | 0.460670 | -0.669413 | -0.460762 | -0.245520 | -0.087718 | 0.473366 | 0.05014 | 0.348131 | -0.512171 | 0.170477 | 0.035736 | -0.874622 | -0.512295 | -1.141878 | -0.122712 | -0.533639 | -0.825986 | -0.081579 | 0 | -0.485881 | 0.382839 | -0.550767 | 0.252808 | -0.626833 | 0.201868 | 0 |
Val
| id | feature0 | feature1 | feature2 | feature3 | feature4 | feature5 | feature6 | feature7 | feature8 | feature9 | feature10 | feature11 | feature12 | feature13 | feature14 | feature15 | feature16 | feature17 | feature18 | feature19 | feature20 | feature21 | feature22 | feature23 | feature24 | feature25 | feature26 | feature27 | feature28 | feature29 | feature30 | feature31 | feature32 | feature33 | feature34 | feature35 | feature36 | feature37 | feature38 | feature39 | feature40 | feature41 | feature42 | feature43 | feature44 | feature45 | feature46 | feature47 | feature48 | feature49 | feature50 | feature51 | feature52 | feature53 | feature54 | feature55 | feature56 | feature57 | feature58 | feature59 | feature60 | feature61 | feature62 | feature63 | feature64 | feature65 | feature66 | feature67 | feature68 | feature69 | feature70 | feature71 | feature72 | feature73 | feature74 | feature75 | feature76 | feature77 | feature78 | feature79 | feature80 | feature81 | feature82 | feature83 | feature84 | feature85 | feature86 | feature87 | feature88 | feature89 | feature90 | feature91 | feature92 | feature93 | feature94 | feature95 | feature96 | feature97 | feature98 | feature99 | feature100 | feature101 | feature102 | feature103 | feature104 | feature105 | feature106 | label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 263 | 263 | 0.277975 | 0.054824 | -0.353501 | -0.722196 | -0.941283 | 1.096535 | -0.027473 | -0.526438 | -0.140552 | 1.898636 | 0.244240 | -0.080210 | 0.386911 | -0.074921 | 0.042041 | 0.385747 | 0.053138 | 0.005952 | -0.059490 | -1.210552 | 0.058478 | 0.664940 | -0.369316 | -0.484004 | 0.724467 | 0.343277 | -0.414361 | -0.217885 | -0.517409 | -0.274152 | -0.231116 | 0.652863 | 0.017935 | -0.299245 | -0.571964 | -0.336771 | -0.031628 | -0.102335 | -0.288478 | 0.936300 | 0.548664 | 1.009643 | -0.055825 | -0.695070 | -0.482139 | -0.174645 | -0.413704 | -0.427981 | -0.065342 | -0.373965 | -0.656677 | -0.069669 | 0.533311 | -0.421701 | 0.043692 | -0.087579 | -0.295376 | 0 | -0.983058 | -0.100218 | 0.061181 | 0.389550 | 0.677329 | 1.028915 | 0.003963 | 0.043716 | 0.058269 | 0.173812 | 0.461130 | -0.662315 | -0.459919 | -0.697895 | 0.232637 | -0.978960 | -0.492231 | 0.048834 | -0.893676 | 0 | 0.0608 | -0.474190 | 0.064168 | 0.150809 | 0.437051 | -0.244450 | -0.289845 | -0.243998 | 0.128598 | -0.599060 | 0.028917 | -0.179080 | -0.130020 | 0.237007 | 0.083211 | -0.071396 | 0.342303 | 0.537478 | 0.483224 | -0.415201 | -0.499253 | 0.481276 | 0 | -0.707021 | -0.800999 | -0.694863 | 0.572303 | -0.470519 | -0.273853 | 0 |
| 264 | 264 | -0.200254 | 0.054824 | -0.345530 | 0.331541 | 0.056104 | -0.394082 | -0.197931 | -0.250079 | -0.068165 | 1.254435 | 0.289961 | 1.136763 | 0.534490 | -0.032567 | 0.041002 | 0.387750 | -0.349050 | -0.345984 | -0.099036 | -0.706576 | 0.058478 | -0.057069 | -0.293974 | 0.187132 | 0.730370 | 0.181321 | 0.182980 | -0.648685 | -0.534236 | -0.691549 | -0.231116 | -0.064408 | 0.017935 | -0.052759 | -0.734320 | -0.052820 | -0.828778 | -0.379019 | -0.245330 | -0.386254 | -0.421864 | -0.607154 | 0.439276 | -1.666049 | 0.369260 | -0.378967 | 0.914653 | 0.283201 | 1.010205 | -0.613998 | 0.585551 | 0.026494 | 0.078457 | -0.089853 | 0.043692 | -0.876016 | -0.958220 | 0 | -1.660644 | -0.323295 | 0.061181 | -0.391399 | 0.141903 | 0.159971 | 0.003963 | 0.043716 | -0.106023 | 1.210732 | 0.076187 | 0.520708 | -0.718040 | 0.402323 | -0.054201 | 0.423795 | 0.694787 | 0.207862 | -0.311850 | 0 | 0.0608 | 0.124674 | 0.064168 | 0.140459 | -0.937658 | 0.405615 | -0.180382 | -0.269612 | -0.134550 | -0.981195 | 0.028917 | -0.850951 | -0.152868 | 0.362344 | 0.083211 | -0.096152 | 0.918056 | 0.576899 | -0.051317 | -0.871124 | -0.062640 | -0.899888 | 0 | -0.685554 | 1.524842 | -1.016332 | -0.264429 | -0.676974 | -0.773177 | 3 |
| 265 | 265 | 0.214736 | 0.054824 | -0.322176 | -0.281279 | -0.071087 | 0.339031 | 0.063339 | 0.246474 | 0.129189 | -0.606183 | 0.235249 | 0.131708 | -0.823697 | -0.258719 | -0.763374 | 0.403037 | -0.593672 | -0.884677 | 0.140961 | -0.260974 | 0.058478 | -0.264802 | -0.283161 | 1.352320 | 0.559196 | 0.976405 | 0.032144 | -0.311083 | 0.106137 | -0.632920 | -0.191958 | -0.302801 | 0.017935 | -0.460604 | -0.417798 | -0.258218 | 0.106488 | -0.102335 | -0.425784 | -0.671230 | 0.358279 | -0.453197 | 0.210894 | -0.062005 | -0.609163 | -0.225551 | -0.821106 | 0.704448 | -1.069995 | -0.980678 | 0.427854 | -0.682423 | -0.555564 | 0.744314 | 0.043692 | 0.051233 | -0.260692 | 0 | -0.286445 | -0.248344 | 0.061181 | -0.165050 | 0.070821 | 0.823190 | 0.003963 | 0.043716 | 0.051155 | -0.987918 | -0.209953 | -0.125411 | -0.667659 | -0.720033 | -0.807441 | -0.033266 | -0.706261 | -0.758806 | -0.829213 | 0 | 0.0608 | -1.074949 | 0.064168 | 0.590061 | 0.602553 | -0.766366 | -0.060194 | -0.238796 | 0.016924 | -0.216554 | 0.028917 | 0.358570 | -0.048652 | 0.584561 | 0.083211 | -0.303741 | -0.823985 | -0.089074 | 0.899333 | -0.788382 | 1.048689 | -0.400561 | 0 | -0.529644 | 0.134700 | 0.576455 | 0.211510 | -0.679331 | -0.238975 | 0 |
| 266 | 266 | -0.345188 | 0.054824 | -0.340319 | -0.214972 | -0.946576 | 0.265203 | -0.020019 | 0.538827 | -0.145563 | -0.649829 | -0.450124 | -0.296150 | -1.056364 | -0.270212 | 0.610501 | 0.392258 | -0.443245 | -0.461598 | -0.068201 | -0.309732 | 0.058478 | 0.092851 | -0.343946 | -0.048528 | -0.326866 | 0.743086 | 0.493924 | 0.040940 | 0.103302 | -0.193296 | -0.433191 | -0.106992 | 0.017935 | -0.283892 | -0.671861 | -0.107274 | 0.608965 | 0.401505 | -0.391471 | -0.309278 | -0.014298 | -1.097794 | 0.564422 | 0.539024 | -0.039624 | -0.267341 | -0.514408 | 0.625834 | 0.440008 | 0.221202 | -0.395355 | 0.134705 | 0.611679 | -0.272501 | 0.043692 | -0.401633 | -0.655088 | 0 | -0.640429 | -0.225871 | 0.061181 | -0.460079 | -1.367870 | -0.347600 | 0.003963 | 0.043716 | 0.602536 | 0.219537 | 0.343311 | -0.282694 | -0.645637 | 0.408176 | 0.010772 | 0.315404 | 0.160562 | -0.188248 | -0.417035 | 0 | 0.0608 | 0.069313 | 0.064168 | 0.515759 | 0.298915 | -0.574092 | -0.494070 | -0.228789 | 0.518404 | -0.430139 | 0.028917 | -0.962762 | 0.274417 | -1.051751 | 0.083211 | 0.530904 | 0.009864 | 0.568183 | 0.241231 | -0.686923 | -0.925990 | -0.003976 | 0 | 1.204464 | -0.286788 | -0.428056 | 0.646032 | 0.250030 | 0.051072 | 4 |
| 267 | 267 | -0.074082 | 0.054824 | -0.323039 | -0.284141 | -0.440588 | 0.699596 | -0.058763 | -0.289689 | -0.501807 | -0.614319 | 0.234252 | 0.169780 | -0.334849 | -0.562745 | 0.067524 | 0.387750 | -0.414130 | 0.043599 | -0.433594 | -0.099386 | 0.058478 | -0.400083 | -0.324607 | -0.064113 | 0.728026 | 0.726767 | 0.852107 | -0.157429 | -0.274728 | -0.760352 | -0.433576 | -0.317656 | 0.017935 | -0.301730 | -0.820713 | -0.269883 | -0.475130 | -0.385518 | -0.058126 | 1.168035 | 0.233329 | -0.599466 | -0.437117 | -0.552663 | -0.432708 | -0.201631 | -1.181473 | -0.604004 | 0.458964 | 0.889302 | 0.751199 | 0.686519 | 0.786967 | 0.180407 | 0.043692 | 0.633520 | 0.246323 | 0 | -0.169577 | -0.275362 | 0.061181 | -1.213160 | -0.789000 | 0.618990 | 0.003963 | 0.043716 | 0.183842 | -1.059850 | 0.456209 | -0.479057 | 0.455623 | -0.701503 | -1.433031 | -0.662879 | -0.660431 | -0.084525 | -0.171500 | 0 | 0.0608 | 0.993231 | 0.064168 | -0.271875 | -0.216860 | -0.660034 | -0.712233 | -0.276060 | -0.186312 | 0.191669 | 0.028917 | -0.707478 | -0.107495 | -0.248561 | 0.083211 | -0.143553 | -0.025345 | -0.032030 | 1.373876 | -0.256388 | 0.601703 | -0.556457 | 0 | -0.390119 | -0.379566 | -1.409735 | -0.285657 | -0.716745 | -0.007573 | 0 |
| 268 | 268 | -0.019698 | 0.054824 | -0.317892 | -0.584558 | -0.766684 | -0.432448 | -0.254736 | -0.077381 | -1.123429 | -0.032067 | -0.335495 | 0.218807 | 0.135726 | -0.207645 | -0.249450 | 0.414579 | -0.065440 | -0.343102 | 0.202368 | -0.217520 | 0.058478 | 0.671896 | -0.356193 | -0.418894 | 0.046646 | -0.747161 | -0.444599 | -0.744127 | -0.668335 | -0.602319 | -0.191227 | 0.594889 | 0.017935 | -0.510661 | -0.268553 | -0.174400 | 0.742756 | 0.624872 | -0.288478 | 0.087007 | 0.110531 | 0.281455 | 0.423468 | -0.066703 | -0.338651 | -0.161415 | -0.446725 | 0.747372 | -0.975925 | -1.618744 | -0.882407 | 0.135749 | -0.396112 | -0.630819 | 0.043692 | -0.151874 | 0.325897 | 0 | 1.070371 | -0.160467 | 0.061181 | 0.250819 | -0.377003 | -0.465415 | 0.003963 | 0.043716 | 0.101936 | -0.557232 | 0.652127 | 0.592544 | -0.323245 | -0.694878 | -0.532387 | -0.486331 | -0.706019 | 0.024049 | -0.191979 | 0 | 0.0608 | -0.694978 | 0.064168 | 0.053974 | -1.284373 | -0.683853 | -0.715417 | -0.219022 | -0.026986 | 0.349648 | 0.028917 | 0.685106 | 0.077006 | -0.008267 | 0.083211 | -0.558836 | -1.085997 | -0.324766 | 0.422839 | -0.675884 | -0.164440 | -0.916384 | 0 | 1.102959 | 0.775810 | -1.420879 | 0.509249 | -0.080133 | -0.518628 | 1 |
| 269 | 269 | -0.754750 | 0.054824 | -0.349621 | -0.734273 | -0.601304 | -0.681903 | -0.308386 | 0.330103 | 0.087367 | 0.271124 | 0.276396 | -0.814788 | 0.645323 | 0.077501 | -0.104020 | -1.510119 | -0.110501 | -0.337622 | -0.068201 | -0.054852 | 0.058478 | -0.037498 | -0.338454 | 0.101575 | 0.667930 | -0.390061 | 0.231616 | -0.683926 | -0.492593 | -0.675707 | -0.231116 | 0.314161 | 0.017935 | -0.962799 | -0.247435 | -0.503284 | 0.685212 | 0.765306 | 0.095785 | 0.435832 | 0.083974 | -0.524538 | 0.172008 | -0.066703 | 0.078845 | -0.194682 | -0.194503 | -0.984398 | -0.685081 | -0.901800 | -0.077166 | -1.100925 | -0.345832 | -0.742122 | 0.043692 | 0.674803 | -0.053630 | 0 | -1.118328 | -0.922944 | 0.061181 | -0.733997 | 0.771641 | -1.009186 | 0.003963 | 0.043716 | 0.718000 | -0.842899 | 0.979890 | 0.118829 | -0.130487 | 0.374578 | -0.203725 | 0.193651 | -0.455622 | 1.056481 | -0.701842 | 0 | 0.0608 | -0.345859 | 0.064168 | -1.021595 | 0.553070 | -0.375990 | 1.378959 | -0.244101 | -1.180168 | 0.097560 | 0.028917 | -0.135962 | -0.231869 | -0.155821 | 0.083211 | -0.843611 | -0.114060 | -0.929782 | -0.406938 | -0.319521 | -0.454830 | 0.713626 | 0 | -0.225075 | 0.720643 | -0.716581 | -1.230916 | -0.120172 | -0.230930 | 3 |
| 270 | 270 | -0.806632 | 0.054824 | -0.332014 | -0.662576 | 0.107484 | 0.606892 | -0.197411 | -0.106316 | -0.024725 | 0.428849 | 0.272452 | -0.308816 | -0.080444 | -0.216488 | -0.023036 | 0.394036 | -0.876136 | 0.275971 | -0.289628 | 1.799896 | 0.058478 | -0.650140 | 0.529782 | -0.351338 | 0.584248 | -0.032225 | -0.548791 | -0.217885 | 0.007423 | -0.764224 | -0.393262 | -0.921017 | 0.017935 | 0.122625 | -0.732613 | -0.669541 | -1.100937 | -0.716980 | 0.322246 | -1.865398 | -0.234931 | -0.647353 | 0.436357 | -0.359897 | 0.013045 | -0.262576 | -0.823946 | -0.822118 | -1.615748 | -0.388538 | 0.324223 | 0.046907 | -0.829579 | 0.659437 | 0.043692 | -0.123257 | -0.470397 | 0 | 0.368351 | -0.564051 | 0.061181 | 0.264203 | 0.692634 | -0.532158 | 0.003963 | 0.043716 | -0.587814 | 0.437529 | -0.992784 | 0.341420 | -0.783752 | 0.390146 | 0.428118 | 0.203615 | 0.303088 | 0.427927 | -0.307278 | 0 | 0.0608 | 0.778653 | 0.064168 | -0.830097 | -0.255289 | 0.291706 | 0.205602 | -0.216317 | 0.352948 | -0.572764 | 0.028917 | -0.378768 | -0.069218 | -0.669322 | 0.083211 | -0.096152 | 0.274861 | -1.250476 | -0.355260 | 0.100941 | -0.037694 | -0.602349 | 0 | -1.972502 | 0.455804 | -0.746464 | 0.256846 | -0.161932 | -0.802205 | 5 |
| 271 | 271 | -0.726123 | 0.054824 | -0.332294 | -0.342074 | 0.360119 | 2.026687 | -0.539113 | -0.041315 | 0.742642 | -0.412646 | 0.272213 | -0.407984 | -0.966824 | -0.252745 | -0.399131 | 0.385728 | 0.597522 | 0.441784 | 0.136142 | 1.331023 | 0.058478 | 0.424914 | -0.348278 | 0.710223 | -0.068132 | 0.663409 | 0.898507 | -0.162642 | -0.646406 | 0.851733 | -0.176557 | -0.707476 | 0.017935 | -0.971917 | 1.385435 | -0.240053 | -0.470205 | -0.328254 | -0.740990 | -0.725732 | -0.664885 | 0.196942 | 0.039708 | 0.184354 | 0.594709 | -0.347292 | -0.602157 | 0.508810 | 0.690948 | 0.470898 | -0.187111 | -0.806908 | 0.057415 | -0.487727 | 0.043692 | 0.131575 | -0.095078 | 0 | 0.356642 | -0.131668 | 0.061181 | 0.245412 | 0.048040 | -1.099952 | 0.003963 | 0.043716 | 0.673140 | 0.594048 | -0.654562 | -0.500814 | -0.416880 | 0.369714 | -1.177111 | 0.643592 | -0.525569 | -0.084525 | -0.721390 | 0 | 0.0608 | -0.081927 | 0.064168 | 0.027463 | 0.004450 | -0.271066 | -1.543239 | -0.232188 | 1.147586 | -0.325754 | 0.028917 | 1.394701 | 0.153359 | 0.165858 | 0.083211 | -0.374944 | -0.058154 | -1.192980 | 0.292240 | -0.396746 | -0.270281 | -0.922762 | 0 | -0.889964 | -0.638201 | 0.719399 | 0.611114 | -0.438890 | 0.604055 | 0 |
| 272 | 272 | -0.675729 | 0.054824 | -0.315434 | -0.214921 | 0.456945 | -0.208209 | -0.044386 | -0.617922 | 1.145546 | 0.118099 | 0.267964 | -0.185150 | -0.593437 | 6.840774 | 6.820415 | 0.420270 | -0.709763 | -0.112571 | 0.922118 | -0.502470 | 0.058478 | -0.032662 | -0.372006 | -0.064113 | 0.522115 | 0.618142 | -0.698390 | 8.127921 | -0.635100 | -0.696001 | 7.745999 | -0.769790 | 0.017935 | 7.871571 | -0.117961 | 6.369803 | -0.889379 | 0.820546 | -0.538769 | 0.082023 | 0.721893 | -0.501904 | 0.116274 | 0.268517 | 3.496729 | -0.146188 | 4.805220 | 0.411684 | -1.129291 | 0.112414 | -0.271069 | -0.188320 | -0.211000 | -0.272501 | 0.043692 | -0.667126 | 0.574143 | 0 | -0.984722 | 7.946083 | 0.061181 | -0.089752 | -0.067406 | 0.124437 | 0.003963 | 0.043716 | 0.735057 | 2.113586 | 0.366678 | -0.466797 | 0.480790 | -0.666993 | -0.067737 | -0.377701 | 0.657319 | -0.587425 | 7.017557 | 0 | 0.0608 | 1.372589 | 0.064168 | 0.327354 | 0.260962 | -0.271066 | 0.918826 | -0.259317 | -0.052514 | -0.931444 | 0.028917 | -0.367711 | 0.459023 | 0.131486 | 0.083211 | -0.177970 | -0.677244 | -0.452412 | -0.119328 | 7.748011 | 0.026224 | 0.798463 | 0 | -0.817984 | 0.031659 | 1.076430 | -0.791003 | 6.580342 | -0.785765 | 2 |
Train
| id | feature0 | feature1 | feature2 | feature3 | feature4 | feature5 | feature6 | feature7 | feature8 | feature9 | feature10 | feature11 | feature12 | feature13 | feature14 | feature15 | feature16 | feature17 | feature18 | feature19 | feature20 | feature21 | feature22 | feature23 | feature24 | feature25 | feature26 | feature27 | feature28 | feature29 | feature30 | feature31 | feature32 | feature33 | feature34 | feature35 | feature36 | feature37 | feature38 | feature39 | feature40 | feature41 | feature42 | feature43 | feature44 | feature45 | feature46 | feature47 | feature48 | feature49 | feature50 | feature51 | feature52 | feature53 | feature54 | feature55 | feature56 | feature57 | feature58 | feature59 | feature60 | feature61 | feature62 | feature63 | feature64 | feature65 | feature66 | feature67 | feature68 | feature69 | feature70 | feature71 | feature72 | feature73 | feature74 | feature75 | feature76 | feature77 | feature78 | feature79 | feature80 | feature81 | feature82 | feature83 | feature84 | feature85 | feature86 | feature87 | feature88 | feature89 | feature90 | feature91 | feature92 | feature93 | feature94 | feature95 | feature96 | feature97 | feature98 | feature99 | feature100 | feature101 | feature102 | feature103 | feature104 | feature105 | feature106 | label | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Val
| id | feature0 | feature1 | feature2 | feature3 | feature4 | feature5 | feature6 | feature7 | feature8 | feature9 | feature10 | feature11 | feature12 | feature13 | feature14 | feature15 | feature16 | feature17 | feature18 | feature19 | feature20 | feature21 | feature22 | feature23 | feature24 | feature25 | feature26 | feature27 | feature28 | feature29 | feature30 | feature31 | feature32 | feature33 | feature34 | feature35 | feature36 | feature37 | feature38 | feature39 | feature40 | feature41 | feature42 | feature43 | feature44 | feature45 | feature46 | feature47 | feature48 | feature49 | feature50 | feature51 | feature52 | feature53 | feature54 | feature55 | feature56 | feature57 | feature58 | feature59 | feature60 | feature61 | feature62 | feature63 | feature64 | feature65 | feature66 | feature67 | feature68 | feature69 | feature70 | feature71 | feature72 | feature73 | feature74 | feature75 | feature76 | feature77 | feature78 | feature79 | feature80 | feature81 | feature82 | feature83 | feature84 | feature85 | feature86 | feature87 | feature88 | feature89 | feature90 | feature91 | feature92 | feature93 | feature94 | feature95 | feature96 | feature97 | feature98 | feature99 | feature100 | feature101 | feature102 | feature103 | feature104 | feature105 | feature106 | label | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||