Mean kurtosis among attributes of the numeric type.
| ada_agnostic (1) | 263.55954829258 |
| soybean (1) | |
| cleveland (1) | 0.92731277621578 |
| cholesterol (1) | 0.92731277621578 |
| triazines (1) | 18.410976246654 |
| UNIX_user_data (1) | 0.92889594453725 |
| autoMpg (1) | -0.18529258343934 |
| delta_elevators (1) | 0.59529866244623 |
| tic-tac-toe (1) | |
| PhishingWebsites (1) | |
| bolts (1) | -0.93789975666203 |
| wisconsin (1) | 2.7229921781329 |
| detroit (1) | -0.74083425666341 |
| autoPrice (1) | 1.0569445945556 |
| lowbwt (1) | 0.97955730413946 |
| letter (1) | 0.69773790052987 |
| cloud (1) | 3.7761974311788 |
| diabetes_numeric (1) | 0.13921182760932 |
| iris-challenge (1) | -0.75073948768374 |
| auto_price (1) | 1.1626230761417 |
| pol (1) | 33.558553604618 |
| fruitfly (1) | 0.778994452445 |
| adult (2) | 30.359637681214 |
| kin8nm (1) | -1.1178374121086 |
| mbagrade (1) | -0.08586754481596 |
| quake (1) | 2.6883639278534 |
| pbc (1) | 6.0160190608922 |
| cpu_act (1) | 79.51358042941 |
| iris (2) | -0.75073948768374 |
| pharynx (1) | 0.3259566003931 |
| sleep (1) | 9.5615624990011 |
| fourclass_scale (1) | -1.3267333130143 |
| vineyard (1) | 0.64568678349331 |
| KDDCup09_churn (1) | 434.51695418656 |
| jm1 (1) | 586.61946950497 |
| optdigits (1) | 168.55386930106 |
| mfeat-pixel (1) | |
| analcatdata_authorship (1) | 2.3591294603515 |
| mfeat-karhunen (1) | -0.045654845752496 |
| qsar-biodeg (1) | 44.713237485594 |
| mfeat-fourier (1) | 0.11900628082327 |
| cmc (1) | 0.2928560302339 |
| credit-g (1) | 0.92427752579811 |
| kc1 (1) | 31.853391931073 |
| hill-valley (1) | 9.587345867785 |
| mfeat-morphological (1) | -0.53623692262434 |
| credit-a (1) | 49.931703911167 |
| spambase (1) | 241.17001865177 |
| Australian (3) | 21.295222015029 |
| kr-vs-kp (1) | |
| eucalyptus (1) | 62.865966258133 |
| car (1) | |
| sick (1) | 51.41313506551 |
| irish (1) | -0.44946676913398 |
| one-hundred-plants-margin (1) | 10.547112529418 |
| one-hundred-plants-texture (1) | 15.691933328202 |
| electricity (1) | 1029.1705407841 |
| satimage (1) | -0.15411688047872 |
| abalone (1) | 11.033153238708 |
| artificial-characters (1) | -0.039221736260819 |
| blood-transfusion-service-center (1) | 10.22450525035 |
| wall-robot-navigation (1) | 2.3688224584698 |
| segment (1) | 38.517190769739 |
| GesturePhaseSegmentationProcessed (1) | 47.822308711805 |
| breast-w (1) | 1.6841150960407 |
| pendigits (1) | -0.50104293553342 |
| sylva_agnostic (1) | 560.66559578876 |
| pc1 (1) | 116.04528058633 |
| bank-marketing (1) | 673.03009158477 |
| cylinder-bands (2) | 10.368503105342 |
| wilt (1) | 48.007919021166 |
| phoneme (1) | 0.33974898860957 |
| mfeat-factors (1) | -0.31518820070483 |
| mfeat-zernike (1) | 0.73539568130378 |
| waveform-5000 (1) | -0.1964174932197 |
| isolet (1) | 3.6056625652758 |
| monks-problems-2 (1) | |
| nomao (1) | 306.44111775887 |
| tamilnadu-electricity (1) | -1.2000704551248 |
| wdbc (1) | 7.8147348251103 |
| micro-mass (2) | 212.99036757642 |
| balance-scale (1) | -1.30079843925 |
| monks-problems-1 (1) | |
| JapaneseVowels (1) | -0.037185757520029 |
| musk (1) | 1.7119765464381 |
| banknote-authentication (1) | 0.14479469144119 |
| MiceProtein (1) | 4.5395762653118 |
| cjs (3) | 5.4224389105067 |
| splice (1) | |
| monks-problems-3 (1) | |
| mozilla4 (1) | 9.9754806575171 |
| pc3 (1) | 238.95404585981 |
| MagicTelescope (1) | 4.2731596123285 |
| cnae-9 (1) | 636.4605777892 |
| LED-display-domain-7digit (1) | -1.1173581845411 |
| vowel (2) | -0.39142721501685 |
| Amazon_employee_access (1) | |
| climate-model-simulation-crashes (1) | -1.2151730419774 |
| ozone-level-8hr (1) | 1.493054752129 |
| vehicle (1) | 5.1531405165148 |
| synthetic_control (1) | -0.55740616599833 |
| KDDCup09_upselling (1) | 434.51695418656 |
| first-order-theorem-proving (1) | 228.19086725957 |
| madelon (1) | 0.083331493424412 |
| Bioresponse (1) | 162.45088247861 |
| scene (1) | 8.1861840575804 |
| analcatdata_dmft (1) | |
| profb (1) | -0.36347116924206 |
| pc4 (1) | 105.08714800752 |
| Click_prediction_small (5) | 3025.718978444 |
| one-hundred-plants-shape (1) | 3.803355927727 |
| semeion (1) | -0.96336119894324 |
| dresses-sales (2) | -0.58208911872682 |
| texture (1) | 1.1981350593398 |
| ilpd (1) | 30.042076336191 |
| gas-drift (1) | 1037.148678186 |
| har (1) | 13.662956850926 |
| steel-plates-fault (1) | 91.646388731099 |
| mushroom (1) | |
| gina_agnostic (1) | 18.648491904927 |
| cardiotocography (1) | 17.740298317227 |
| eeg-eye-state (1) | 8904.7219016375 |
| collins (1) | 4.0309814260078 |
| kc2 (1) | 130.10843043463 |
| longley (1) | -1.0864165404783 |
| iris (1) | -0.75073948768374 |
| diabetes (1) | 2.7753623954424 |
| anneal (1) | 4.6480244352098 |