Measure

Quartile3StdDevOfNumericAtts

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

Value per dataset

triazines (1) 0.22790592626802
anneal (8) 771.85904278895
anneal (4) 771.85904278895
anneal (2) 771.85904278895
XOR (1) 0.57735026918963
Weather (1) 10.285218242007
web_questionsQA (1)
anneal (6) 771.85904278895
anneal (7) 771.85904278895
Weather (2) 10.285218242007
TEST9e3886e694-XOR (1) 0.57735026918963
iris (2) 1.5303318469587
anneal (12) 771.85904278895
anneal (14) 2.5474231354919
TESTc7ba0dcb5a-XOR (1) 0.57735026918963
TESTed4a84a4bb-pandas_testing_dataset (2) 0.57735026918963
test (6) 1.5303318469587
TEST51ef687b9d-pandas_testing_dataset (2) 1.5811388300842
Diabetes(scikit-learn) (1) 0.047619047619048
anneal (13) 771.85904278895
TESTb633b550cf-pandas_testing_dataset (1) 7.7265775088327
test (4) 1.5303318469587
TEST51ef687b9d-pandas_testing_dataset (1) 1.5811388300842
TESTed4a84a4bb-pandas_testing_dataset (1) 7.7265775088327
test (3) 1.5303318469587
test (1) 1.5303318469587
test (2) 1.5303318469587
TEST51ef687b9d-pandas_testing_dataset (4) 1.5811388300842
anneal (9) 771.85904278895
TESTaf99b42041-ModifiedWeather (1) 10.285218242007
XOR (2) 0.57735026918963
test (9) 1.5303318469587
anneal (17) 771.85904278895
test (7) 1.5303318469587
TESTe216022baf-UploadTestWithURL (1) 1.5303318469587
iris-challenge (1) 1.5303318469587
TEST8facacd8dc-UploadTestWithURL (1) 1.5303318469587
test (10) 1.5303318469587
test (14) 1.5303318469587
test (5) 1.5303318469587
test (13) 1.5303318469587
test (12) 1.5303318469587
TEST51ef687b9d-pandas_testing_dataset (3) 0.54772255750517
TESTed4a84a4bb-pandas_testing_dataset (3)
anneal (3) 771.85904278895
anneal (23) 771.85904278895
TEST0ea351d931-pandas_testing_dataset (1) 1.5811388300842
anneal (24) 771.85904278895
anneal (18) 771.85904278895
test (11) 1.5303318469587
test (8) 1.5303318469587
cpu_act (1) 557.63944015229
anneal (26) 771.85904278895
anneal (27) 771.85904278895
anneal (39) 771.85904278895
anneal (43) 771.85904278895
anneal (63) 771.85904278895
test (16) 1.5303318469587
TEST840571e677-pandas_testing_dataset (1) 7.7265775088327
anneal (58) 771.85904278895
Weather (6) 10.285218242007
anneal (62) 771.85904278895
anneal (30) 771.85904278895
test (24) 1.5303318469587
test (20) 1.5303318469587
anneal (66) 771.85904278895
anneal (34) 771.85904278895
anneal (38) 771.85904278895
anneal (41) 771.85904278895
Weather (3) 10.285218242007
XOR (4) 0.57735026918963
Weather (4) 10.285218242007
Weather (8) 10.285218242007
test (19) 1.5303318469587
test (21) 1.5303318469587
Diabetes(scikit-learn) (3) 0.047619047619048
XOR (3) 0.57735026918963
anneal (48) 771.85904278895
XOR (6) 0.57735026918963
test (27) 1.5303318469587
XOR (5) 0.57735026918963
bolts (1) 27.411095526241
spambase (1) 0.84374508620484
anneal (49) 771.85904278895
test (33) 1.5303318469587
anneal (32) 771.85904278895
anneal (45) 771.85904278895
anneal (16) 771.85904278895
anneal (57) 771.85904278895
Weather (5) 10.285218242007
test (26) 1.5303318469587
XOR (7) 0.57735026918963
test (36) 1.5303318469587
test (23) 1.5303318469587
anneal (59) 771.85904278895
test (28) 1.5303318469587
anneal (42) 771.85904278895
anneal (33) 771.85904278895
test (15) 1.5303318469587
anneal (37) 771.85904278895
anneal (53) 771.85904278895
anneal (25) 771.85904278895
anneal (56) 771.85904278895
test (39) 1.5303318469587
TEST2fe1e97c97-pandas_testing_dataset (1) 1.5811388300842
test (35) 1.5303318469587
test (29) 1.5303318469587
test (31) 1.5303318469587
anneal (52) 771.85904278895
Diabetes(scikit-learn) (4) 0.047619047619048
anneal (54) 771.85904278895
Weather (7) 10.285218242007
test (22) 1.5303318469587
test (38) 1.5303318469587
test (32) 1.5303318469587
test (18) 1.5303318469587
Diabetes(scikit-learn) (2) 0.047619047619048
vineyard (1) 4.3944273465804
pol (1) 12.456206034581
anneal (31) 771.85904278895
Weather (9) 10.285218242007
Diabetes(scikit-learn) (5) 0.047619047619048
TESTccda34c750-pandas_testing_dataset (1) 7.7265775088327
cnae-9 (1) 0.074362702707124
one-hundred-plants-margin (1) 0.021279227540537
anneal (74) 771.85904278895
Weather (11) 10.285218242007
anneal (61) 771.85904278895
test (17) 1.5303318469587
TEST22dd0ebd9b-ModifiedWeather (1) 10.285218242007
anneal (36) 771.85904278895
test (43) 1.5303318469587
XOR (9) 0.57735026918963
anneal (89) 771.85904278895
TESTee7d03de92-pandas_testing_dataset (1) 7.7265775088327
anneal (77) 771.85904278895
anneal (84) 771.85904278895
TEST76d8cfa095-pandas_testing_dataset (1) 1.5811388300842
XOR (10) 0.57735026918963
mbagrade (1) 65.41168492395
wdbc (1) 4.4340872212425
sleep (1) 711.06976755128
blood-transfusion-service-center (1) 1100.9642641715
autoMpg (1) 475.55580618426
autoPrice (1) 34.418109083794
quake (1) 118.27363485173
pbc (1) 231.94454503787
TEST5f1dfbd75d-pandas_testing_dataset (1) 1.5811388300842
anneal (95) 771.85904278895
anneal (80) 771.85904278895
test (40) 1.5303318469587
TESTda410c34dc-pandas_testing_dataset (2) 1.5811388300842
TEST398fcda80b-ModifiedWeather (1) 10.285218242007
TEST7e318eb969-pandas_testing_dataset (3)
Weather (10) 10.285218242007
test (41) 1.5303318469587
TEST76d8cfa095-pandas_testing_dataset (3) 0.54772255750517
test (49) 1.5303318469587
Diabetes(scikit-learn) (6) 0.047619047619048
TESTda410c34dc-pandas_testing_dataset (3) 0.54772255750517
TEST5f1dfbd75d-pandas_testing_dataset (3) 0.54772255750517
TEST5705382a07-UploadTestWithURL (1) 1.5303318469587
TESTccda34c750-pandas_testing_dataset (2) 0.57735026918963
TEST5f1dfbd75d-pandas_testing_dataset (2) 1.5811388300842
XOR (14) 0.57735026918963
XOR (11) 0.57735026918963
TEST5f1dfbd75d-pandas_testing_dataset (4) 1.5811388300842
anneal (83) 771.85904278895
TEST2fb3e3c09b-XOR (1) 0.57735026918963
anneal (101) 771.85904278895
anneal (92) 771.85904278895
anneal (75) 771.85904278895
XOR (8) 0.57735026918963
Weather (14) 10.285218242007
TESTccda34c750-pandas_testing_dataset (3)
test (42) 1.5303318469587
test (30) 1.5303318469587
XOR (13) 0.57735026918963
anneal (103) 771.85904278895
Weather (12) 10.285218242007
anneal (90) 771.85904278895
anneal (73) 771.85904278895
anneal (88) 771.85904278895
TESTe2a3b91028-ModifiedWeather (1) 10.285218242007
TESTf7444a8ea4-pandas_testing_dataset (3)
TEST07c2b360c0-pandas_testing_dataset (3)
TEST7e318eb969-pandas_testing_dataset (2) 0.57735026918963
test (47) 1.5303318469587
test (50) 1.5303318469587
TESTda410c34dc-pandas_testing_dataset (1) 1.5811388300842
anneal (98) 771.85904278895
test (37) 1.5303318469587
anneal (86) 771.85904278895
anneal (105) 771.85904278895
anneal (87) 771.85904278895
anneal (99) 771.85904278895
test (44) 1.5303318469587
TESTcf74ef9481-XOR (1) 0.57735026918963
XOR (12) 0.57735026918963
test (51) 1.5303318469587
anneal (91) 2.5474231354919
test (46) 1.5303318469587
test (45) 1.5303318469587
test (52) 1.5303318469587
anneal (44) 771.85904278895
anneal (79) 771.85904278895
anneal (28) 771.85904278895
test (48) 1.5303318469587
TEST7e318eb969-pandas_testing_dataset (1) 7.7265775088327
TESTda410c34dc-pandas_testing_dataset (4) 1.5811388300842
TEST07c2b360c0-pandas_testing_dataset (2) 0.57735026918963
TESTdcaa77be46-XOR (1) 0.57735026918963
TEST8eecdebbd6-XOR (1) 0.57735026918963
anneal (102) 771.85904278895
Diabetes(scikit-learn) (7) 0.047619047619048
anneal (97) 771.85904278895
TEST2302efba1e-XOR (1) 0.57735026918963
anneal (72) 771.85904278895
test (34) 1.5303318469587
TEST07c2b360c0-pandas_testing_dataset (1) 7.7265775088327
Weather (13) 10.285218242007
TESTc09922bc0f-XOR (1) 0.57735026918963
test (25) 1.5303318469587
TEST76d8cfa095-pandas_testing_dataset (2) 1.5811388300842
TEST76d8cfa095-pandas_testing_dataset (4) 1.5811388300842
cylinder-bands (2) 8.3025733236364
diabetes_numeric (1) 7.1230802624461
wilt (1) 109.92211889587
semeion (1) 0.48721759031158
anneal (11) 771.85904278895
anneal (106) 771.85904278895
anneal (115) 771.85904278895
XOR (18) 0.57735026918963
anneal (116) 2.5474231354919
anneal (113) 771.85904278895
anneal (107) 771.85904278895
mfeat-zernike (1) 65.211344865688
Bioresponse (1) 0.25300250901954
kr-vs-kp (1)
lowbwt (1) 729.02241686013
anneal (82) 771.85904278895
anneal (114) 771.85904278895
Diabetes(scikit-learn) (9) 0.047619047619048
Diabetes(scikit-learn) (8) 0.047619047619048
Diabetes(scikit-learn) (10) 0.047619047619048
credit-a (1) 1432.8807257446
phoneme (1) 1.0000000102671
anneal (119) 771.85904278895
anneal (118) 771.85904278895
XOR (21) 0.57735026918963
Weather (17) 10.285218242007
Weather (21) 10.285218242007
XOR (23) 0.57735026918963
XOR (19) 0.57735026918963
XOR (17) 0.57735026918963
XOR (16) 0.57735026918963
XOR (24) 0.57735026918963
Diabetes(scikit-learn) (11) 0.047619047619048
profb (1) 9.6191600238848
pc4 (1) 26.373775044951
climate-model-simulation-crashes (1) 0.2890534922763
pendigits (1) 34.227219367991
tic-tac-toe (1)
abalone (1) 0.22196294903322
delta_elevators (1) 4.9120736331678
MiceProtein (1) 0.23056986700196
anneal (108) 771.85904278895
artificial-characters (1) 13.100118877868
cloud (1) 1.5826281803811
mushroom (1)
vowel (2) 0.78669280818607
anneal (141) 771.85904278895
Weather (18) 10.285218242007
anneal (147) 771.85904278895
anneal (136) 771.85904278895
anneal (135) 771.85904278895
anneal (122) 771.85904278895
XOR (22) 0.57735026918963
Weather (22) 10.285218242007
anneal (112) 771.85904278895
XOR (29) 0.57735026918963
anneal (128) 771.85904278895
anneal (139) 771.85904278895
XOR (27) 0.57735026918963
eucalyptus (1) 80.61760056258
PhishingWebsites (1)
one-hundred-plants-shape (1) 0.00033386796442244
cholesterol (1) 22.87500327698
texture (1) 0.25351127147986
fourclass_scale (1) 0.9582756799133
credit-g (1) 12.058814452756
ilpd (1) 212.77917260677
anneal (151) 771.85904278895
anneal (132) 771.85904278895
anneal (156) 771.85904278895
anneal (134) 771.85904278895
anneal (149) 771.85904278895
Weather (16) 10.285218242007
Weather (15) 10.285218242007
Weather (27) 10.285218242007
anneal (126) 771.85904278895
anneal (167) 771.85904278895
anneal (127) 771.85904278895
anneal (131) 771.85904278895
anneal (124) 771.85904278895
Diabetes(scikit-learn) (15) 0.047619047619048
Diabetes(scikit-learn) (14) 0.047619047619048
anneal (143) 771.85904278895
anneal (121) 771.85904278895
anneal (146) 771.85904278895
anneal (158) 771.85904278895
anneal (120) 771.85904278895
anneal (117) 771.85904278895
Weather (24) 10.285218242007
Diabetes(scikit-learn) (12) 0.047619047619048
XOR (31) 0.57735026918963
anneal (150) 771.85904278895
XOR (32) 0.57735026918963
Weather (23) 10.285218242007
anneal (160) 771.85904278895
Diabetes(scikit-learn) (17) 0.047619047619048
anneal (155) 771.85904278895
Weather (30) 10.285218242007
anneal (110) 771.85904278895
anneal (173) 771.85904278895
Weather (20) 10.285218242007
TEST569e152152-pandas_testing_dataset (2) 0.57735026918963
XOR (33) 0.57735026918963
Weather (26) 10.285218242007
Weather (28) 10.285218242007
XOR (15) 0.57735026918963
anneal (137) 771.85904278895
Weather (19) 10.285218242007
anneal (144) 771.85904278895
XOR (25) 0.57735026918963
anneal (166) 771.85904278895
XOR (30) 0.57735026918963
anneal (159) 771.85904278895
anneal (161) 771.85904278895
anneal (154) 771.85904278895
anneal (125) 771.85904278895
Weather (31) 10.285218242007
Weather (34) 10.285218242007
anneal (168) 771.85904278895
anneal (172) 771.85904278895
anneal (140) 771.85904278895
anneal (129) 771.85904278895
anneal (174) 771.85904278895
XOR (20) 0.57735026918963
Weather (25) 10.285218242007
Diabetes(scikit-learn) (16) 0.047619047619048
XOR (34) 0.57735026918963
XOR (28) 0.57735026918963
anneal (162) 771.85904278895
anneal (109) 771.85904278895
anneal (171) 771.85904278895
anneal (164) 771.85904278895
anneal (145) 771.85904278895
anneal (123) 771.85904278895
Weather (33) 10.285218242007
Diabetes(scikit-learn) (13) 0.047619047619048
XOR (26) 0.57735026918963
anneal (152) 771.85904278895
anneal (169) 771.85904278895
anneal (142) 771.85904278895
Weather (29) 10.285218242007
Weather (32) 10.285218242007
TEST63cd902071-pandas_testing_dataset (2) 1.5811388300842
anneal (175) 771.85904278895
TESTe55d2d0c3d-pandas_testing_dataset (2) 0.57735026918963
anneal (177) 771.85904278895
TESTe55d2d0c3d-pandas_testing_dataset (3)
anneal (178) 2.5474231354919
TEST9d96ec7ade-UploadTestWithURL (1) 1.5303318469587
anneal (180) 771.85904278895
TESTcf61db30f6-pandas_testing_dataset (1) 7.7265775088327
anneal (181) 771.85904278895
TEST63cd902071-pandas_testing_dataset (4) 1.5811388300842
TEST63cd902071-pandas_testing_dataset (3) 0.54772255750517
TESTada3067c77-XOR (1) 0.57735026918963
TESTf112d7f8be-XOR (1) 0.57735026918963
TEST9ecb165245-UploadTestWithURL (1) 1.5303318469587
anneal (179) 771.85904278895
TESTaebada2a36-ModifiedWeather (1) 10.285218242007
TESTe55d2d0c3d-pandas_testing_dataset (1) 7.7265775088327
TEST63cd902071-pandas_testing_dataset (1) 1.5811388300842
anneal (182) 771.85904278895
anneal (183) 771.85904278895
anneal (184) 771.85904278895
mfeat-pixel (1)
ada_agnostic (1) 0.41061381479562
madelon (1) 35.620715855893
cleveland (1) 22.87500327698
mfeat-karhunen (1) 2.661480369524
banknote-authentication (1) 5.4792925802643
isolet (1) 0.49435579122213
mozilla4 (1) 549107.08360117
anneal (185) 771.85904278895
Weather (35) 10.285218242007
anneal (190) 771.85904278895
anneal (187) 771.85904278895
anneal (192) 771.85904278895
anneal (191) 771.85904278895
Weather (36) 10.285218242007
XOR (36) 0.57735026918963
bank-marketing (1) 257.52781226517
ozone-level-8hr (1) 7.0435929076003
pharynx (1) 418.71780593198
musk (1) 101.73690375107
cardiotocography (1) 17.192813718572
Australian (3) 0.94876359761767
sylva_agnostic (1) 0.30095751338763
pc3 (1) 43.85840094501
wisconsin (1) 4.9072840129477
soybean (1)
anneal (186) 771.85904278895
anneal (189) 771.85904278895
Diabetes(scikit-learn) (18) 0.047619047619048
XOR (35) 0.57735026918963
anneal (193) 2.5474231354919
ModifiedWeather (1) 10.285218242007
XOR (37) 0.57735026918963
XOR (38) 0.57735026918963
UploadTestWithURL (1) 1.5303318469587
UploadTestWithURL (2) 1.5303318469587
anneal (195) 771.85904278895
anneal (198) 771.85904278895
anneal (194) 771.85904278895
anneal (201) 771.85904278895
Weather (38) 10.285218242007
XOR (39) 0.57735026918963
Weather (37) 10.285218242007
Diabetes(scikit-learn) (19) 0.047619047619048
anneal (199) 771.85904278895
anneal (196) 771.85904278895
anneal (200) 771.85904278895
XOR (40) 0.57735026918963
UNIX_user_data (1) 790.05450392026
one-hundred-plants-texture (1) 0.032757620886633
anneal (176) 771.85904278895
mfeat-fourier (1) 0.086335201142934
car (1)
splice (1)
vehicle (1) 31.682749869316
electricity (1) 0.29475638280389
synthetic_control (1) 13.53154523231
anneal (208) 771.85904278895
anneal (202) 771.85904278895
anneal (206) 771.85904278895
Weather (39) 10.285218242007
XOR (42) 0.57735026918963
anneal (203) 771.85904278895
anneal (209) 771.85904278895
anneal (207) 771.85904278895
anneal (204) 771.85904278895
Weather (40) 10.285218242007
Diabetes(scikit-learn) (20) 0.047619047619048
XOR (41) 0.57735026918963
har (1) 0.35728073685004
hill-valley (1) 18115.644855399
micro-mass (2) 357114.77803678
detroit (1) 148.83374880483
mfeat-morphological (1) 958.16612696876
sick (1) 33.718335156872
LED-display-domain-7digit (1) 0.48955421216992
scene (1) 0.21041720138231
monks-problems-2 (1)
first-order-theorem-proving (1) 1.0036680416341
auto_price (1) 35.651284566405
breast-w (1) 3.0525465017835
pc1 (1) 99.005962508672
tamilnadu-electricity (1) 0.28930116689817
anneal (94) 771.85904278895
anneal (213) 771.85904278895
anneal (215) 771.85904278895
Diabetes(scikit-learn) (21) 0.047619047619048
Weather (42) 10.285218242007
Weather (41) 10.285218242007
XOR (43) 0.57735026918963
anneal (211) 771.85904278895
anneal (210) 771.85904278895
anneal (214) 771.85904278895
anneal (212) 771.85904278895
anneal (218) 771.85904278895
XOR (44) 0.57735026918963
cmc (1) 8.2272447554706
segment (1) 43.527458022681
monks-problems-3 (1)
JapaneseVowels (1) 0.41269642879279
anneal (222) 771.85904278895
Weather (43) 10.285218242007
anneal (220) 771.85904278895
XOR (46) 0.57735026918963
anneal (224) 771.85904278895
anneal (226) 771.85904278895
anneal (219) 771.85904278895
Diabetes(scikit-learn) (22) 0.047619047619048
XOR (45) 0.57735026918963
anneal (221) 771.85904278895
anneal (225) 771.85904278895
Weather (44) 10.285218242007
monks-problems-1 (1)
irish (1) 15.456347996431
analcatdata_authorship (1) 6.2079341685674
gina_agnostic (1) 108.60678169159
MagicTelescope (1) 53.051604006593
fruitfly (1) 17.563892580537
cjs (3) 2.8908014046579
dresses-sales (2) 2.0053640592222
jm1 (1) 125.93284053078
mfeat-factors (1) 91.596871264285
adult (2) 31990.020649029
balance-scale (1) 1.4153462926807
optdigits (1) 5.866371529351
letter (1) 2.5474231354919
kc1 (1) 41.925227171213
wall-robot-navigation (1) 1.4008828746199
steel-plates-fault (1) 222.893505206
Amazon_employee_access (1)
GesturePhaseSegmentationProcessed (1) 0.0087912621326336
kin8nm (1) 0.90829895570802
waveform-5000 (1) 1.6570866923838
qsar-biodeg (1) 2.0300641876894
satimage (1) 1.00019496904
analcatdata_dmft (1)
gas-drift (1) 24.787579044155
nomao (1) 0.23402423514156
Click_prediction_small (5) 2978866.630052
longley (1) 6956.1015614591
iris (1) 1.5303318469587
diabetes (1) 28.818415439013
eeg-eye-state (1) 3343.8237886273
collins (1) 1.0102598415729
kc2 (1) 116.69468060041
anneal (234) 771.85904278895
anneal (1) 771.85904278895
Diabetes(scikit-learn) (23) 0.047619047619048
anneal (244) 771.85904278895
XOR (50) 0.57735026918963
anneal (228) 771.85904278895
anneal (237) 771.85904278895
anneal (242) 771.85904278895
anneal (231) 771.85904278895
Weather (47) 10.285218242007
Weather (45) 10.285218242007
TEST08f51af3c8-pandas_testing_dataset (1) 7.7265775088327
TESTa365aee568-UploadTestWithURL (1) 1.5303318469587
anneal (233) 771.85904278895
anneal (240) 771.85904278895
anneal (229) 771.85904278895
TEST037907c164-pandas_testing_dataset (3)
TESTa540f38c2d-pandas_testing_dataset (1) 1.5811388300842
TESTfd496f5b4d-XOR (1) 0.57735026918963
TEST037907c164-pandas_testing_dataset (2) 0.57735026918963
XOR (47) 0.57735026918963
XOR (48) 0.57735026918963
TEST82462bce44-UploadTestWithURL (1) 1.5303318469587
XOR (49) 0.57735026918963
anneal (241) 771.85904278895
anneal (232) 771.85904278895
anneal (227) 771.85904278895
anneal (236) 771.85904278895
TESTa540f38c2d-pandas_testing_dataset (4) 1.5811388300842
Weather (46) 10.285218242007
Weather (48) 10.285218242007
anneal (235) 2.5474231354919
TESTa540f38c2d-pandas_testing_dataset (2) 1.5811388300842
TESTa540f38c2d-pandas_testing_dataset (3) 0.54772255750517
Diabetes(scikit-learn) (24) 0.047619047619048
GermanCreditModified (1) 150.43912527425
GermanCreditModified (2) 150.43912527425
GermanCreditModified (3) 150.43912527425
TEST062fea70c5-XOR (1) 0.57735026918963
anneal (238) 771.85904278895