Measure

MeanSkewnessOfNumericAtts

Mean skewness among attributes of the numeric type.

Value per dataset

ada_agnostic (1) 7.3051164173979
soybean (1)
cleveland (1) 0.65894232960268
cholesterol (1) 0.65894232960268
triazines (1) 3.1949787679526
UNIX_user_data (1) 1.2444913076547
autoMpg (1) 0.61477542958515
delta_elevators (1) -0.038789373150091
tic-tac-toe (1)
PhishingWebsites (1)
bolts (1) 0.16004948978178
wisconsin (1) 1.1205560281472
detroit (1) 0.27136164725936
autoPrice (1) 0.68765866851411
lowbwt (1) 0.63800642125136
letter (1) 0.29029703410185
cloud (1) 1.5632200452605
diabetes_numeric (1) -0.57126540831781
iris-challenge (1) 0.067375701047788
auto_price (1) 0.72717255746587
pol (1) 4.6369937492773
fruitfly (1) 0.31354304338131
adult (2) 3.0638608083348
kin8nm (1) 0.0078797746243602
mbagrade (1) -0.057590016893579
quake (1) 0.94055726470357
pbc (1) 1.6670924428187
cpu_act (1) 4.9976702657136
iris (2) 0.067375701047788
pharynx (1) 0.51651983116184
sleep (1) 2.102551660937
fourclass_scale (1) 0.21554030854929
vineyard (1) -0.51578063299665
KDDCup09_churn (1) 11.574618510868
jm1 (1) 15.83647074795
optdigits (1) 5.4511856593754
mfeat-pixel (1)
analcatdata_authorship (1) 1.114702111933
mfeat-karhunen (1) -0.0042856626077368
qsar-biodeg (1) 3.7986392200533
mfeat-fourier (1) 0.54470068358428
cmc (1) 0.67773157579399
credit-g (1) 0.92037912571691
kc1 (1) 4.2031781368284
hill-valley (1) 3.0046762883044
mfeat-morphological (1) 0.53156718434474
credit-a (1) 4.4238671435787
spambase (1) 11.186639096029
Australian (3) 1.6774974008065
kr-vs-kp (1)
eucalyptus (1) 2.5514530161152
car (1)
sick (1) 3.5691918824691
irish (1) 0.18305241588219
one-hundred-plants-margin (1) 2.2227721543045
one-hundred-plants-texture (1) 3.1430156657781
electricity (1) 12.618112702576
satimage (1) 0.040460233851003
abalone (1) 0.62036877561761
artificial-characters (1) 0.67387208245067
blood-transfusion-service-center (1) 2.2631111929252
wall-robot-navigation (1) 1.5222576378065
segment (1) 3.3209588546592
GesturePhaseSegmentationProcessed (1) 0.95350358374738
breast-w (1) 1.4774886667311
pendigits (1) -0.039196082120308
sylva_agnostic (1) 13.349913170414
pc1 (1) 8.0085055548195
bank-marketing (1) 8.8061919254007
cylinder-bands (2) 1.1927454607437
wilt (1) 3.3734293299198
phoneme (1) 0.7794652586095
mfeat-factors (1) 0.027560516903782
mfeat-zernike (1) 0.79083007647476
waveform-5000 (1) 0.035468273624267
isolet (1) 0.44206745255136
monks-problems-2 (1)
nomao (1) -6.8566892162314
tamilnadu-electricity (1) -0.0047069108027838
wdbc (1) 1.7404066285208
micro-mass (2) 12.818352880348
balance-scale (1) 0
monks-problems-1 (1)
JapaneseVowels (1) 0.1098366996914
musk (1) 0.47767761157728
banknote-authentication (1) -0.11929141888617
MiceProtein (1) 0.78560413082184
cjs (3) 1.3183070400308
splice (1)
monks-problems-3 (1)
mozilla4 (1) 1.4714719487732
pc3 (1) 10.324325597699
MagicTelescope (1) 0.64634495548672
cnae-9 (1) 23.162381936884
LED-display-domain-7digit (1) -0.72641171161888
vowel (2) 0.091115272850625
Amazon_employee_access (1)
climate-model-simulation-crashes (1) 2.9030687163889E-5
ozone-level-8hr (1) 0.085956014814213
vehicle (1) 1.0415777283623
synthetic_control (1) 0.034004699506928
KDDCup09_upselling (1) 11.574618510868
first-order-theorem-proving (1) 7.4409760278737
madelon (1) 0.032949743689853
Bioresponse (1) 8.2067439257569
scene (1) 1.6899456006274
analcatdata_dmft (1)
profb (1) 0.33916365537074
pc4 (1) 6.4502822329431
Click_prediction_small (5) 19.564762903599
one-hundred-plants-shape (1) 1.390936421483
semeion (1) 0.80938204775919
dresses-sales (2) -1.1647649580554
texture (1) 0.28531363757299
ilpd (1) 3.2908126195511
gas-drift (1) 4.6203090589263
har (1) 1.6370975866257
steel-plates-fault (1) 3.6458966474516
mushroom (1)
gina_agnostic (1) 2.9342780270476
cardiotocography (1) 2.3921903484661
eeg-eye-state (1) 71.737266209003
collins (1) 1.2182133563597
kc2 (1) 8.9530932817681
longley (1) -0.027450630074468
iris (1) 0.067375701047788
diabetes (1) 0.52924612893752
anneal (1) 2.0269825910719