Measure

Quartile3StdDevOfNumericAtts

Third quartile of standard deviation of attributes of the numeric type.

Value per dataset

mbagrade (1) 65.41168492395
wdbc (1) 4.4340872212425
vehicle (1) 31.682749869316
jm1 (1) 125.93284053078
cleveland (1) 22.87500327698
ada_agnostic (1) 0.41061381479562
cholesterol (1) 22.87500327698
madelon (1) 35.620715855893
one-hundred-plants-texture (1) 0.032757620886633
micro-mass (2) 357114.77803678
mfeat-zernike (1) 65.211344865688
MagicTelescope (1) 53.051604006593
mfeat-karhunen (1) 2.661480369524
credit-a (1) 1432.8807257446
mushroom (1)
tamilnadu-electricity (1) 0.28930116689817
Click_prediction_small (5) 2978866.630052
isolet (1) 0.49435579122213
cylinder-bands (2) 8.3025733236364
autoMpg (1) 475.55580618426
mfeat-morphological (1) 958.16612696876
pc1 (1) 99.005962508672
credit-g (1) 12.058814452756
qsar-biodeg (1) 2.0300641876894
iris-challenge (1) 1.5303318469587
spambase (1) 0.84374508620484
splice (1)
anneal (3) 771.85904278895
vowel (2) 0.78669280818607
ilpd (1) 212.77917260677
blood-transfusion-service-center (1) 1100.9642641715
artificial-characters (1) 13.100118877868
mozilla4 (1) 549107.08360117
kc1 (1) 41.925227171213
fourclass_scale (1) 0.9582756799133
analcatdata_dmft (1)
optdigits (1) 5.866371529351
GesturePhaseSegmentationProcessed (1) 0.0087912621326336
eeg-eye-state (1) 3343.8237886273
wilt (1) 109.92211889587
pharynx (1) 418.71780593198
kin8nm (1) 0.90829895570802
gina_agnostic (1) 108.60678169159
Amazon_employee_access (1)
sick (1) 33.718335156872
profb (1) 9.6191600238848
wall-robot-navigation (1) 1.4008828746199
monks-problems-2 (1)
wisconsin (1) 4.9072840129477
triazines (1) 0.22790592626802
bolts (1) 27.411095526241
har (1) 0.35728073685004
gas-drift (1) 24.787579044155
scene (1) 0.21041720138231
mfeat-fourier (1) 0.086335201142934
anneal (2) 771.85904278895
semeion (1) 0.48721759031158
one-hundred-plants-margin (1) 0.021279227540537
banknote-authentication (1) 5.4792925802643
cardiotocography (1) 17.192813718572
cloud (1) 1.5826281803811
adult (2) 31990.020649029
climate-model-simulation-crashes (1) 0.2890534922763
a (1) 1.7652982332595
letter (1) 2.5474231354919
Australian (3) 0.94876359761767
tic-tac-toe (1)
mfeat-pixel (1)
MiceProtein (1) 0.23056986700196
fruitfly (1) 17.563892580537
analcatdata_authorship (1) 6.2079341685674
pc3 (1) 43.85840094501
autoPrice (1) 34.418109083794
auto_price (1) 35.651284566405
musk (1) 101.73690375107
hill-valley (1) 18115.644855399
anneal (6) 771.85904278895
ozone-level-8hr (1) 7.0435929076003
irish (1) 15.456347996431
electricity (1) 0.29475638280389
satimage (1) 1.00019496904
lowbwt (1) 729.02241686013
nomao (1) 0.23402423514156
breast-w (1) 3.0525465017835
monks-problems-3 (1)
pbc (1) 231.94454503787
delta_elevators (1) 4.9120736331678
vineyard (1) 4.3944273465804
texture (1) 0.25351127147986
mfeat-factors (1) 91.596871264285
eucalyptus (1) 80.61760056258
pendigits (1) 34.227219367991
pc4 (1) 26.373775044951
UNIX_user_data (1) 790.05450392026
detroit (1) 148.83374880483
synthetic_control (1) 13.53154523231
abalone (1) 0.22196294903322
anneal (5) 771.85904278895
waveform-5000 (1) 1.6570866923838
LED-display-domain-7digit (1) 0.48955421216992
steel-plates-fault (1) 222.893505206
PhishingWebsites (1)
car (1)
a (2) 1.7652982332595
iris (2) 1.5303318469587
cpu_act (1) 557.63944015229
anneal (7) 771.85904278895
anneal (8) 771.85904278895
anneal (11) 771.85904278895
anneal (12) 771.85904278895
anneal (9) 771.85904278895
anneal (10) 771.85904278895
anneal (13) 771.85904278895
anneal (15) 771.85904278895
TESTcd6b36175d-ModifiedWeather (1) 10.285218242007
TEST79d5120512-XOR (1) 0.57735026918963
anneal (16) 771.85904278895
TEST03ae3917f9-pandas_testing_dataset (1) 7.7265775088327
TESTfce9706bd8-pandas_testing_dataset (1) 1.5811388300842
anneal (20) 771.85904278895
anneal (25) 771.85904278895
anneal (64) 771.85904278895
TESTc236f8668b-pandas_testing_dataset (1) 1.5811388300842
anneal (52) 771.85904278895
anneal (23) 771.85904278895
anneal (51) 771.85904278895
TEST42f439d59e-ModifiedWeather (1) 10.285218242007
TEST6cd383bd36-pandas_testing_dataset (3)
TESTb73fca9dea-pandas_testing_dataset (3)
TEST1c031057be-XOR (1) 0.57735026918963
anneal (69) 771.85904278895
anneal (37) 771.85904278895
anneal (28) 771.85904278895
TEST68b8719aa6-pandas_testing_dataset (3)
anneal (54) 771.85904278895
TEST497883d61c-XOR (1) 0.57735026918963
anneal (61) 771.85904278895
anneal (77) 771.85904278895
anneal (68) 771.85904278895
TESTfb8c9dda6b-pandas_testing_dataset (1) 1.5811388300842
TEST12cee25e4e-ModifiedWeather (1) 10.285218242007
TESTfb357f8e8d-ModifiedWeather (1) 10.285218242007
TEST24233797e6-XOR (1) 0.57735026918963
TESTb1d41eaa75-XOR (1) 0.57735026918963
anneal (63) 771.85904278895
TESTc236f8668b-pandas_testing_dataset (2) 1.5811388300842
anneal (21) 771.85904278895
TEST63cf2e1fbd-pandas_testing_dataset (4) 1.5811388300842
anneal (58) 771.85904278895
TESTfb8c9dda6b-pandas_testing_dataset (3) 0.54772255750517
anneal (76) 771.85904278895
TEST2ea13bc990-pandas_testing_dataset (3)
anneal (18) 771.85904278895
anneal (101) 771.85904278895
anneal (47) 771.85904278895
anneal (89) 771.85904278895
anneal (14) 771.85904278895
TEST0ce86503a9-XOR (1) 0.57735026918963
anneal (26) 771.85904278895
anneal (45) 771.85904278895
anneal (60) 771.85904278895
anneal (39) 771.85904278895
anneal (106) 771.85904278895
anneal (86) 771.85904278895
anneal (31) 771.85904278895
anneal (78) 771.85904278895
TEST843467ee18-XOR (1) 0.57735026918963
anneal (67) 771.85904278895
TEST95346f9559-pandas_testing_dataset (3) 0.54772255750517
TEST15ca9f322a-pandas_testing_dataset (3)
anneal (100) 771.85904278895
anneal (107) 771.85904278895
TESTfd7b579d2e-UploadTestWithURL (1) 1.5303318469587
anneal (44) 771.85904278895
anneal (22) 771.85904278895
anneal (96) 771.85904278895
anneal (84) 771.85904278895
TEST03ae3917f9-pandas_testing_dataset (3)
TEST95346f9559-pandas_testing_dataset (2) 1.5811388300842
TEST2ea13bc990-pandas_testing_dataset (1) 7.7265775088327
TEST2ea13bc990-pandas_testing_dataset (2) 0.57735026918963
anneal (30) 771.85904278895
TESTf376696645-ModifiedWeather (1) 10.285218242007
anneal (34) 771.85904278895
TEST6ca4501805-pandas_testing_dataset (1) 7.7265775088327
anneal (88) 771.85904278895
anneal (36) 771.85904278895
anneal (94) 771.85904278895
anneal (72) 771.85904278895
TESTe23b3943e2-XOR (1) 0.57735026918963
TESTc682124a7c-pandas_testing_dataset (3)
TEST15ca9f322a-pandas_testing_dataset (1) 7.7265775088327
TEST17559f05ba-XOR (1) 0.57735026918963
anneal (90) 771.85904278895
TEST06a78f9b67-pandas_testing_dataset (2) 1.5811388300842
anneal (35) 771.85904278895
anneal (41) 771.85904278895
anneal (32) 771.85904278895
TESTfb8c9dda6b-pandas_testing_dataset (2) 1.5811388300842
TEST6cd383bd36-pandas_testing_dataset (2) 0.57735026918963
TEST09797384d7-pandas_testing_dataset (2) 1.5811388300842
TESTfb8c9dda6b-pandas_testing_dataset (4) 1.5811388300842
TESTc236f8668b-pandas_testing_dataset (3) 0.54772255750517
TESTb73fca9dea-pandas_testing_dataset (2) 0.57735026918963
anneal (19) 771.85904278895
TESTc31b13a56a-XOR (1) 0.57735026918963
anneal (75) 771.85904278895
anneal (73) 771.85904278895
anneal (55) 771.85904278895
TESTe3a1b5909b-pandas_testing_dataset (1) 7.7265775088327
TEST15ca9f322a-pandas_testing_dataset (2) 0.57735026918963
TEST63cf2e1fbd-pandas_testing_dataset (2) 1.5811388300842
TEST09797384d7-pandas_testing_dataset (3) 0.54772255750517
TEST63cf2e1fbd-pandas_testing_dataset (1) 1.5811388300842
TEST95346f9559-pandas_testing_dataset (1) 1.5811388300842
TESTbd626c29c8-XOR (1) 0.57735026918963
anneal (95) 771.85904278895
TEST06a78f9b67-pandas_testing_dataset (4) 1.5811388300842
anneal (33) 771.85904278895
TEST95346f9559-pandas_testing_dataset (4) 1.5811388300842
anneal (59) 771.85904278895
anneal (99) 771.85904278895
anneal (82) 771.85904278895
TEST6cd383bd36-pandas_testing_dataset (1) 7.7265775088327
TEST257d57cd52-XOR (1) 0.57735026918963
TEST09797384d7-pandas_testing_dataset (4) 1.5811388300842
TEST06a78f9b67-pandas_testing_dataset (3) 0.54772255750517
TESTad9ec77a46-UploadTestWithURL (1) 1.5303318469587
anneal (62) 771.85904278895
TEST06a78f9b67-pandas_testing_dataset (1) 1.5811388300842
anneal (53) 771.85904278895
anneal (93) 771.85904278895
anneal (65) 771.85904278895
anneal (38) 771.85904278895
anneal (42) 771.85904278895
anneal (66) 771.85904278895
TEST09797384d7-pandas_testing_dataset (1) 1.5811388300842
TESTb73fca9dea-pandas_testing_dataset (1) 7.7265775088327
anneal (29) 771.85904278895
anneal (24) 771.85904278895
anneal (102) 771.85904278895
anneal (97) 771.85904278895
anneal (70) 2.5474231354919
TESTb3cf06a12a-ModifiedWeather (1) 10.285218242007
TEST6ca4501805-pandas_testing_dataset (2) 0.57735026918963
TESTc236f8668b-pandas_testing_dataset (4) 1.5811388300842
TESTa7fbefc142-pandas_testing_dataset (2) 1.5811388300842
TEST63cf2e1fbd-pandas_testing_dataset (3) 0.54772255750517
TEST03ae3917f9-pandas_testing_dataset (2) 0.57735026918963
anneal (56) 771.85904278895
anneal (103) 771.85904278895
anneal (108) 771.85904278895
anneal (109) 771.85904278895
TEST6ca4501805-pandas_testing_dataset (3)
Bioresponse (1) 0.25300250901954
cjs (3) 2.8908014046579
dresses-sales (2) 2.0053640592222
pol (1) 12.456206034581
sleep (1) 711.06976755128
diabetes_numeric (1) 7.1230802624461
soybean (1)
JapaneseVowels (1) 0.41269642879279
first-order-theorem-proving (1) 1.0036680416341
one-hundred-plants-shape (1) 0.00033386796442244
cmc (1) 8.2272447554706
cnae-9 (1) 0.074362702707124
segment (1) 43.527458022681
monks-problems-1 (1)
sylva_agnostic (1) 0.30095751338763
bank-marketing (1) 257.52781226517
phoneme (1) 1.0000000102671
anneal (115) 771.85904278895
anneal (112) 771.85904278895
quake (1) 118.27363485173
collins (1) 1.0102598415729
kc2 (1) 116.69468060041
anneal (1) 771.85904278895
diabetes (1) 28.818415439013
kr-vs-kp (1)
balance-scale (1) 1.4153462926807
anneal (120) 771.85904278895
anneal (122) 771.85904278895
anneal (116) 771.85904278895
anneal (129) 771.85904278895
anneal (118) 771.85904278895
anneal (111) 771.85904278895
Weather (1) 10.285218242007
anneal (124) 771.85904278895
Weather (2) 10.285218242007
anneal (126) 771.85904278895
XOR (1) 0.57735026918963
anneal (119) 771.85904278895
anneal (130) 771.85904278895
anneal (125) 771.85904278895
anneal (113) 771.85904278895
anneal (121) 771.85904278895
anneal (123) 771.85904278895
Diabetes(scikit-learn) (1) 0.047619047619048
XOR (2) 0.57735026918963
anneal (128) 771.85904278895
anneal (117) 771.85904278895
anneal (110) 771.85904278895
longley (1) 6956.1015614591
anneal (131) 771.85904278895
iris (1) 1.5303318469587
anneal (132) 771.85904278895