Measure

Quartile3StdDevOfNumericAtts

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

Value per dataset

credit-g (1) 12.058814452756
pc1 (1) 99.005962508672
first-order-theorem-proving (1) 1.0036680416341
hill-valley (1) 18115.644855399
mushroom (1)
pc3 (1) 43.85840094501
steel-plates-fault (1) 222.893505206
madelon (1) 35.620715855893
phoneme (1) 1.0000000102671
vineyard (1) 4.3944273465804
isolet (1) 0.49435579122213
synthetic_control (1) 13.53154523231
abalone (1) 0.22196294903322
mfeat-fourier (1) 0.086335201142934
mozilla4 (1) 549107.08360117
cylinder-bands (2) 8.3025733236364
spambase (1) 0.84374508620484
banknote-authentication (1) 5.4792925802643
MiceProtein (1) 0.23056986700196
adult (2) 31990.020649029
MagicTelescope (1) 53.051604006593
pbc (1) 231.94454503787
fourclass_scale (1) 0.9582756799133
mfeat-morphological (1) 958.16612696876
bolts (1) 27.411095526241
pharynx (1) 418.71780593198
diabetes_numeric (1) 7.1230802624461
pendigits (1) 34.227219367991
anneal (7) 771.85904278895
semeion (1) 0.48721759031158
satimage (1) 1.00019496904
vehicle (1) 31.682749869316
GesturePhaseSegmentationProcessed (1) 0.0087912621326336
wilt (1) 109.92211889587
electricity (1) 0.29475638280389
breast-w (1) 3.0525465017835
musk (1) 101.73690375107
anneal (6) 771.85904278895
profb (1) 9.6191600238848
jm1 (1) 125.93284053078
anneal (3) 771.85904278895
anneal (17) 771.85904278895
autoPrice (1) 34.418109083794
cleveland (1) 22.87500327698
cardiotocography (1) 17.192813718572
scene (1) 0.21041720138231
ilpd (1) 212.77917260677
mfeat-zernike (1) 65.211344865688
wisconsin (1) 4.9072840129477
anneal (15) 771.85904278895
anneal (22) 771.85904278895
car (1)
cnae-9 (1) 0.074362702707124
gina_agnostic (1) 108.60678169159
kin8nm (1) 0.90829895570802
iris (2) 1.5303318469587
delta_elevators (1) 4.9120736331678
qsar-biodeg (1) 2.0300641876894
monks-problems-1 (1)
anneal (14) 771.85904278895
texture (1) 0.25351127147986
lowbwt (1) 729.02241686013
anneal (2) 771.85904278895
Australian (3) 0.94876359761767
eucalyptus (1) 80.61760056258
one-hundred-plants-shape (1) 0.00033386796442244
analcatdata_dmft (1)
anneal (34) 771.85904278895
anneal (29) 771.85904278895
anneal (23) 771.85904278895
pol (1) 12.456206034581
mbagrade (1) 65.41168492395
Amazon_employee_access (1)
letter (1) 2.5474231354919
one-hundred-plants-texture (1) 0.032757620886633
TEST1c848ab209-pandas_testing_dataset (3)
PhishingWebsites (1)
detroit (1) 148.83374880483
sylva_agnostic (1) 0.30095751338763
anneal (28) 771.85904278895
anneal (53) 771.85904278895
tamilnadu-electricity (1) 0.28930116689817
iris-challenge (1) 1.5303318469587
cholesterol (1) 22.87500327698
anneal (41) 771.85904278895
anneal (10) 771.85904278895
anneal (35) 771.85904278895
wdbc (1) 4.4340872212425
anneal (43) 771.85904278895
anneal (60) 771.85904278895
TESTebb33ef4fa-XOR (1) 0.57735026918963
anneal (44) 771.85904278895
wall-robot-navigation (1) 1.4008828746199
anneal (25) 771.85904278895
TEST29f9ae6987-XOR (1) 0.57735026918963
har (1) 0.35728073685004
Bioresponse (1) 0.25300250901954
artificial-characters (1) 13.100118877868
anneal (51) 771.85904278895
TEST0a3f20a3a8-pandas_testing_dataset (3)
anneal (37) 771.85904278895
anneal (61) 771.85904278895
anneal (8) 771.85904278895
vowel (2) 0.78669280818607
nomao (1) 0.23402423514156
anneal (5) 771.85904278895
anneal (87) 771.85904278895
TESTc16ac7f367-pandas_testing_dataset (3) 0.54772255750517
anneal (62) 771.85904278895
anneal (73) 771.85904278895
anneal (65) 771.85904278895
pc4 (1) 26.373775044951
TEST861d5ffaea-XOR (1) 0.57735026918963
anneal (77) 771.85904278895
anneal (59) 771.85904278895
anneal (74) 771.85904278895
gas-drift (1) 24.787579044155
anneal (4) 771.85904278895
LED-display-domain-7digit (1) 0.48955421216992
anneal (32) 771.85904278895
anneal (9) 771.85904278895
optdigits (1) 5.866371529351
anneal (13) 771.85904278895
mfeat-karhunen (1) 2.661480369524
anneal (39) 771.85904278895
anneal (55) 771.85904278895
anneal (90) 771.85904278895
JapaneseVowels (1) 0.41269642879279
anneal (38) 771.85904278895
anneal (36) 771.85904278895
anneal (71) 771.85904278895
anneal (88) 771.85904278895
anneal (19) 771.85904278895
anneal (49) 771.85904278895
anneal (93) 771.85904278895
anneal (26) 771.85904278895
anneal (72) 771.85904278895
anneal (18) 771.85904278895
anneal (33) 771.85904278895
anneal (69) 771.85904278895
anneal (56) 771.85904278895
anneal (126) 771.85904278895
sleep (1) 711.06976755128
anneal (89) 771.85904278895
anneal (42) 771.85904278895
anneal (100) 771.85904278895
monks-problems-2 (1)
anneal (115) 771.85904278895
mfeat-factors (1) 91.596871264285
anneal (91) 771.85904278895
anneal (119) 771.85904278895
TEST9103715299-pandas_testing_dataset (2) 0.57735026918963
sick (1) 33.718335156872
anneal (111) 771.85904278895
anneal (40) 771.85904278895
anneal (132) 771.85904278895
anneal (103) 771.85904278895
anneal (133) 771.85904278895
TEST1c3062c843-pandas_testing_dataset (3)
anneal (67) 771.85904278895
anneal (95) 771.85904278895
anneal (76) 771.85904278895
anneal (144) 771.85904278895
fruitfly (1) 17.563892580537
anneal (16) 771.85904278895
anneal (27) 771.85904278895
TESTfab02098c0-pandas_testing_dataset (2) 1.5811388300842
splice (1)
anneal (147) 771.85904278895
one-hundred-plants-margin (1) 0.021279227540537
anneal (80) 771.85904278895
anneal (104) 771.85904278895
TEST44eb4b8b3f-XOR (1) 0.57735026918963
anneal (97) 771.85904278895
anneal (70) 771.85904278895
anneal (125) 771.85904278895
anneal (113) 771.85904278895
ozone-level-8hr (1) 7.0435929076003
TESTb5b3545d7e-pandas_testing_dataset (3)
anneal (24) 771.85904278895
TEST00a13efce9-pandas_testing_dataset (1) 1.5811388300842
triazines (1) 0.22790592626802
anneal (107) 771.85904278895
anneal (173) 771.85904278895
TESTfab02098c0-pandas_testing_dataset (3) 0.54772255750517
anneal (99) 771.85904278895
anneal (176) 771.85904278895
dresses-sales (2) 2.0053640592222
TESTa86b01f9a8-pandas_testing_dataset (3)
anneal (159) 771.85904278895
anneal (158) 771.85904278895
anneal (165) 771.85904278895
TEST495d1e52d8-pandas_testing_dataset (1) 7.7265775088327
climate-model-simulation-crashes (1) 0.2890534922763
anneal (94) 771.85904278895
anneal (146) 771.85904278895
anneal (181) 771.85904278895
anneal (178) 771.85904278895
anneal (129) 771.85904278895
anneal (131) 771.85904278895
anneal (163) 771.85904278895
TEST9b06efad03-pandas_testing_dataset (1) 7.7265775088327
TEST6abd679a4e-ModifiedWeather (1) 10.285218242007
TEST388a9defc1-pandas_testing_dataset (4) 1.5811388300842
TEST84e16ea643-UploadTestWithURL (1) 1.5303318469587
mfeat-pixel (1)
anneal (105) 771.85904278895
micro-mass (2) 357114.77803678
anneal (148) 771.85904278895
TESTd4a9ca9c2d-pandas_testing_dataset (3)
cmc (1) 8.2272447554706
TESTca4a634324-ModifiedWeather (1) 10.285218242007
anneal (160) 771.85904278895
anneal (136) 771.85904278895
anneal (140) 771.85904278895
anneal (121) 771.85904278895
TEST5e105f0c38-pandas_testing_dataset (1) 7.7265775088327
anneal (164) 771.85904278895
TEST78cf97e1d2-pandas_testing_dataset (3)
anneal (182) 771.85904278895
TESTd746086797-XOR (1) 0.57735026918963
anneal (75) 771.85904278895
anneal (112) 771.85904278895
anneal (47) 771.85904278895
anneal (153) 771.85904278895
TEST9d1aa3a77e-XOR (1) 0.57735026918963
TEST495d1e52d8-pandas_testing_dataset (3)
TESTe3d8d93ab0-pandas_testing_dataset (3)
TEST0a395eb24e-XOR (1) 0.57735026918963
TEST5e105f0c38-pandas_testing_dataset (2) 0.57735026918963
cjs (3) 2.8908014046579
anneal (123) 771.85904278895
TEST104676cb6a-pandas_testing_dataset (3) 0.54772255750517
anneal (201) 771.85904278895
TEST2c4f0b6c26-pandas_testing_dataset (2) 0.57735026918963
anneal (155) 771.85904278895
anneal (194) 771.85904278895
anneal (167) 771.85904278895
anneal (171) 771.85904278895
anneal (162) 771.85904278895
anneal (135) 771.85904278895
anneal (223) 771.85904278895
TESTdd0a5ebb6e-pandas_testing_dataset (2) 1.5811388300842
anneal (106) 771.85904278895
TESTfab02098c0-pandas_testing_dataset (4) 1.5811388300842
anneal (161) 771.85904278895
anneal (143) 771.85904278895
anneal (197) 771.85904278895
anneal (199) 771.85904278895
anneal (137) 771.85904278895
anneal (154) 771.85904278895
anneal (134) 771.85904278895
auto_price (1) 35.651284566405
TEST104676cb6a-pandas_testing_dataset (4) 1.5811388300842
TESTd66c82a86b-ModifiedWeather (1) 10.285218242007
TEST9b06efad03-pandas_testing_dataset (2) 0.57735026918963
kc1 (1) 41.925227171213
anneal (228) 771.85904278895
TEST0be3452fe0-pandas_testing_dataset (2) 0.57735026918963
anneal (212) 771.85904278895
anneal (204) 771.85904278895
anneal (79) 771.85904278895
anneal (145) 771.85904278895
anneal (229) 771.85904278895
TESTdd0a5ebb6e-pandas_testing_dataset (1) 1.5811388300842
TEST388a9defc1-pandas_testing_dataset (2) 1.5811388300842
TEST104676cb6a-pandas_testing_dataset (1) 1.5811388300842
anneal (218) 771.85904278895
TESTdd0a5ebb6e-pandas_testing_dataset (3) 0.54772255750517
anneal (198) 771.85904278895
TEST0be3452fe0-pandas_testing_dataset (3)
anneal (98) 771.85904278895
anneal (12) 771.85904278895
anneal (214) 771.85904278895
anneal (120) 771.85904278895
anneal (209) 771.85904278895
anneal (256) 771.85904278895
anneal (110) 771.85904278895
segment (1) 43.527458022681
tic-tac-toe (1)
anneal (157) 771.85904278895
TEST5e105f0c38-pandas_testing_dataset (3)
anneal (102) 771.85904278895
anneal (262) 771.85904278895
anneal (170) 771.85904278895
TEST6ba4d7daec-XOR (1) 0.57735026918963
anneal (232) 771.85904278895
anneal (237) 771.85904278895
anneal (241) 771.85904278895
anneal (221) 771.85904278895
TESTc8f1eae46a-XOR (1) 0.57735026918963
TEST44aee7d221-ModifiedWeather (1) 10.285218242007
TEST495d1e52d8-pandas_testing_dataset (2) 0.57735026918963
TEST2c4f0b6c26-pandas_testing_dataset (1) 7.7265775088327
autoMpg (1) 475.55580618426
anneal (193) 771.85904278895
anneal (219) 771.85904278895
TEST2c4f0b6c26-pandas_testing_dataset (3)
TEST9103715299-pandas_testing_dataset (3)
anneal (208) 771.85904278895
anneal (255) 771.85904278895
anneal (203) 771.85904278895
anneal (253) 771.85904278895
anneal (270) 771.85904278895
anneal (63) 771.85904278895
anneal (210) 771.85904278895
TEST388a9defc1-pandas_testing_dataset (3) 0.54772255750517
anneal (268) 771.85904278895
anneal (271) 771.85904278895
TESTe74389f4b6-XOR (1) 0.57735026918963
anneal (222) 771.85904278895
anneal (195) 771.85904278895
anneal (250) 771.85904278895
anneal (205) 771.85904278895
anneal (128) 771.85904278895
anneal (233) 771.85904278895
anneal (82) 771.85904278895
TESTf738f069ca-pandas_testing_dataset (4) 1.5811388300842
anneal (225) 771.85904278895
TESTdd0a5ebb6e-pandas_testing_dataset (4) 1.5811388300842
anneal (184) 771.85904278895
anneal (68) 771.85904278895
anneal (236) 771.85904278895
anneal (186) 771.85904278895
anneal (191) 771.85904278895
anneal (166) 771.85904278895
anneal (247) 771.85904278895
anneal (248) 771.85904278895
anneal (269) 771.85904278895
anneal (11) 771.85904278895
anneal (92) 771.85904278895
anneal (267) 771.85904278895
anneal (226) 771.85904278895
anneal (257) 771.85904278895
anneal (190) 771.85904278895
anneal (263) 771.85904278895
TESTdd2273bbad-pandas_testing_dataset (3)
TESTbdcda46197-pandas_testing_dataset (3)
quake (1) 118.27363485173
TESTcbac53b2c5-XOR (1) 0.57735026918963
anneal (57) 771.85904278895
TESTb7d5691345-XOR (1) 0.57735026918963
anneal (192) 771.85904278895
anneal (230) 771.85904278895
anneal (202) 771.85904278895
anneal (251) 771.85904278895
anneal (206) 771.85904278895
anneal (139) 771.85904278895
anneal (188) 771.85904278895
TEST5037c378b1-pandas_testing_dataset (3)
TEST388a9defc1-pandas_testing_dataset (1) 1.5811388300842
anneal (152) 771.85904278895
TEST9b06efad03-pandas_testing_dataset (3)
anneal (266) 771.85904278895
anneal (187) 771.85904278895
anneal (200) 771.85904278895
anneal (254) 771.85904278895
anneal (242) 771.85904278895
anneal (240) 771.85904278895
anneal (213) 771.85904278895
anneal (183) 771.85904278895
Click_prediction_small (5) 2978866.630052
anneal (156) 771.85904278895
TEST2f9e899c65-XOR (1) 0.57735026918963
anneal (246) 771.85904278895
anneal (151) 771.85904278895
anneal (52) 771.85904278895
anneal (109) 771.85904278895
anneal (215) 771.85904278895
anneal (261) 771.85904278895
anneal (168) 771.85904278895
TEST3620d8fbd0-XOR (1) 0.57735026918963
anneal (258) 771.85904278895
irish (1) 15.456347996431
anneal (239) 771.85904278895
anneal (252) 771.85904278895
anneal (81) 771.85904278895
anneal (244) 771.85904278895
TEST104676cb6a-pandas_testing_dataset (2) 1.5811388300842
TESTc16ac7f367-pandas_testing_dataset (4) 1.5811388300842
TESTfab02098c0-pandas_testing_dataset (1) 1.5811388300842
anneal (275) 771.85904278895
anneal (274) 771.85904278895
anneal (312) 771.85904278895
anneal (280) 771.85904278895
anneal (286) 771.85904278895
anneal (301) 771.85904278895
anneal (282) 771.85904278895
anneal (284) 771.85904278895
anneal (273) 771.85904278895
anneal (278) 771.85904278895
anneal (333) 771.85904278895
anneal (318) 771.85904278895
anneal (359) 771.85904278895
anneal (356) 771.85904278895
anneal (385) 771.85904278895
anneal (379) 771.85904278895
anneal (298) 771.85904278895
anneal (311) 771.85904278895
anneal (320) 771.85904278895
anneal (362) 771.85904278895
anneal (355) 771.85904278895
anneal (357) 771.85904278895
anneal (337) 771.85904278895
anneal (381) 771.85904278895
anneal (335) 771.85904278895
anneal (336) 771.85904278895
anneal (384) 771.85904278895
TESTfa348335d3-pandas_testing_dataset (3)
anneal (332) 771.85904278895
anneal (346) 771.85904278895
anneal (388) 771.85904278895
anneal (305) 771.85904278895
anneal (343) 771.85904278895
anneal (288) 771.85904278895
TEST845a642017-pandas_testing_dataset (3)
anneal (340) 771.85904278895
anneal (374) 771.85904278895
anneal (372) 771.85904278895
anneal (371) 771.85904278895
TEST5b30e679ed-pandas_testing_dataset (1) 1.5811388300842
anneal (383) 771.85904278895
anneal (358) 771.85904278895
anneal (395) 771.85904278895
TEST6f97db9a3e-ModifiedWeather (1) 10.285218242007
anneal (290) 771.85904278895
anneal (324) 771.85904278895
TEST5b30e679ed-pandas_testing_dataset (4) 1.5811388300842
TEST7dc1ecdb15-XOR (1) 0.57735026918963
anneal (354) 771.85904278895
anneal (303) 771.85904278895
anneal (319) 771.85904278895
anneal (334) 771.85904278895
anneal (405) 771.85904278895
anneal (404) 771.85904278895
anneal (308) 771.85904278895
anneal (398) 771.85904278895
anneal (291) 771.85904278895
TEST6dc49fc872-pandas_testing_dataset (2) 0.57735026918963
anneal (402) 771.85904278895
TESTb410f44fd0-pandas_testing_dataset (3) 0.54772255750517
anneal (317) 771.85904278895
TESTb410f44fd0-pandas_testing_dataset (1) 1.5811388300842
TESTc5c73d43cf-XOR (1) 0.57735026918963
anneal (360) 771.85904278895
anneal (403) 771.85904278895
anneal (277) 771.85904278895
anneal (407) 771.85904278895
TEST5b30e679ed-pandas_testing_dataset (3) 0.54772255750517
anneal (410) 771.85904278895
anneal (361) 771.85904278895
TEST9161e0d711-pandas_testing_dataset (3)
TESTeedf1c617e-pandas_testing_dataset (3) 0.54772255750517
TEST58188dfbc6-pandas_testing_dataset (3) 0.54772255750517
TESTa5e33d6c29-pandas_testing_dataset (1) 7.7265775088327
TESTb410f44fd0-pandas_testing_dataset (2) 1.5811388300842
TEST6dc49fc872-pandas_testing_dataset (1) 7.7265775088327
TESTb918af0e2d-pandas_testing_dataset (4) 1.5811388300842
anneal (409) 771.85904278895
anneal (347) 771.85904278895
anneal (295) 771.85904278895
anneal (348) 771.85904278895
TEST0938a9daba-pandas_testing_dataset (3)
anneal (287) 771.85904278895
TESTca5628eaef-pandas_testing_dataset (1) 7.7265775088327
anneal (314) 771.85904278895
anneal (408) 771.85904278895
TESTc9ed3920cd-XOR (1) 0.57735026918963
TESTeedf1c617e-pandas_testing_dataset (2) 1.5811388300842
TESTa5e33d6c29-pandas_testing_dataset (3)
TESTa10ede6728-XOR (1) 0.57735026918963
anneal (342) 771.85904278895
TESTeedf1c617e-pandas_testing_dataset (4) 1.5811388300842
TESTb918af0e2d-pandas_testing_dataset (3) 0.54772255750517
anneal (422) 771.85904278895
anneal (296) 771.85904278895
anneal (276) 771.85904278895
anneal (418) 771.85904278895
anneal (304) 771.85904278895
anneal (399) 771.85904278895
TESTa5e33d6c29-pandas_testing_dataset (2) 0.57735026918963
anneal (390) 771.85904278895
TEST10c25a3b38-pandas_testing_dataset (3)
anneal (424) 771.85904278895
TESTed776f0840-pandas_testing_dataset (3)
anneal (412) 771.85904278895
anneal (417) 771.85904278895
anneal (283) 771.85904278895
anneal (425) 771.85904278895
anneal (400) 771.85904278895
TESTed7333f3d2-ModifiedWeather (1) 10.285218242007
anneal (420) 771.85904278895
anneal (413) 771.85904278895
anneal (423) 771.85904278895
TESTf9ea71bde7-XOR (1) 0.57735026918963
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TEST5b30e679ed-pandas_testing_dataset (2) 1.5811388300842
anneal (434) 771.85904278895
anneal (365) 771.85904278895
anneal (426) 771.85904278895
TEST855da0f4bb-ModifiedWeather (1) 10.285218242007
TEST84e82f2c56-ModifiedWeather (1) 10.285218242007
TESTb9093fb3b4-ModifiedWeather (1) 10.285218242007
TEST178704e3b7-ModifiedWeather (1) 10.285218242007
anneal (393) 771.85904278895
TESTd655778eb6-ModifiedWeather (1) 10.285218242007
anneal (438) 771.85904278895
TEST17eccd9837-pandas_testing_dataset (3) 0.54772255750517
anneal (433) 771.85904278895
TESTb918af0e2d-pandas_testing_dataset (2) 1.5811388300842
TESTca5628eaef-pandas_testing_dataset (2) 0.57735026918963
TESTf2a16c917e-XOR (1) 0.57735026918963
anneal (429) 771.85904278895
anneal (443) 771.85904278895
anneal (401) 771.85904278895
anneal (363) 771.85904278895
anneal (344) 771.85904278895
anneal (380) 771.85904278895
TEST6dc49fc872-pandas_testing_dataset (3)