Measure

Quartile3SkewnessOfNumericAtts

Third quartile of skewness among attributes of the numeric type.

Value per dataset

credit-g (1) 1.9094447212975
pc1 (1) 8.4166512080401
first-order-theorem-proving (1) 10.454373740046
hill-valley (1) 3.0343913226515
mushroom (1)
pc3 (1) 16.299723810564
steel-plates-fault (1) 2.937593229306
madelon (1) 0.07116066518484
phoneme (1) 1.3636642644777
vineyard (1) 0.26967334721265
isolet (1) 0.5058540955944
synthetic_control (1) 0.07697924382588
abalone (1) 0.71909792176127
mfeat-fourier (1) 0.7107847694792
mozilla4 (1) 3.5196453894031
cylinder-bands (2) 1.3062309747712
spambase (1) 13.646188094981
banknote-authentication (1) 0.77907948244582
MiceProtein (1) 0.97426972420649
adult (2) 6.4010213924528
MagicTelescope (1) 1.1600434591487
pbc (1) 2.7176107087404
fourclass_scale (1) 0.60185622794756
mfeat-morphological (1) 0.76765811341913
bolts (1) 0.82648019180266
pharynx (1) 1.0597484428592
diabetes_numeric (1) -0.23448445693341
pendigits (1) 0.44735729477907
anneal (7) 3.7546438249219
semeion (1) 1.1025394278532
satimage (1) 0.67444582734854
vehicle (1) 0.78930313631191
GesturePhaseSegmentationProcessed (1) 2.3728794681232
wilt (1) 7.4639632551085
electricity (1) 9.0732615553612
breast-w (1) 1.6183199462985
musk (1) 0.65976316520665
anneal (6) 3.7546438249219
profb (1) 0.64816496960998
jm1 (1) 16.647450971038
anneal (3) 3.7546438249219
anneal (17) 3.7546438249219
autoPrice (1) 0.91680000675092
cleveland (1) 1.1893521054154
cardiotocography (1) 3.9202873713193
scene (1) 2.4544702342258
ilpd (1) 5.7283329615835
mfeat-zernike (1) 1.2548334728306
wisconsin (1) 1.5884070037569
anneal (15) 3.7546438249219
anneal (22) 3.7546438249219
car (1)
cnae-9 (1) 32.863353450311
gina_agnostic (1) 4.245759582417
kin8nm (1) 0.0082992932735115
iris (2) 0.32926723578831
delta_elevators (1) 0.10836966060198
qsar-biodeg (1) 5.7130139613719
monks-problems-1 (1)
anneal (14) 3.7546438249219
texture (1) 0.51889384650048
lowbwt (1) 1.402006797565
anneal (2) 3.7546438249219
Australian (3) 2.7852666666708
eucalyptus (1) 0.95489480088785
one-hundred-plants-shape (1) 2.0143416144405
analcatdata_dmft (1)
anneal (34) 3.7546438249219
anneal (29) 3.7546438249219
anneal (23) 3.7546438249219
pol (1) 7.7818856811033
mbagrade (1) 0.053011366895483
Amazon_employee_access (1)
letter (1) 0.65337800262764
one-hundred-plants-texture (1) 3.5530418447163
TEST1c848ab209-pandas_testing_dataset (3)
PhishingWebsites (1)
detroit (1) 0.8309826158737
sylva_agnostic (1) 16.63231634427
anneal (28) 3.7546438249219
anneal (53) 3.7546438249219
tamilnadu-electricity (1) -0.0012290972276647
iris-challenge (1) 0.32926723578831
cholesterol (1) 1.1893521054154
anneal (41) 3.7546438249219
anneal (10) 3.7546438249219
anneal (35) 3.7546438249219
wdbc (1) 1.9754487571154
anneal (43) 3.7546438249219
anneal (60) 3.7546438249219
TESTebb33ef4fa-XOR (1) 0
anneal (44) 3.7546438249219
wall-robot-navigation (1) 2.5364207592299
anneal (25) 3.7546438249219
TEST29f9ae6987-XOR (1) 0
har (1) 2.4159847535643
Bioresponse (1) 10.53130005712
artificial-characters (1) 0.79493296099781
anneal (51) 3.7546438249219
TEST0a3f20a3a8-pandas_testing_dataset (3)
anneal (37) 3.7546438249219
anneal (61) 3.7546438249219
anneal (8) 3.7546438249219
vowel (2) 0.2506229077544
nomao (1) -0.82894159584757
anneal (5) 3.7546438249219
anneal (87) 3.7546438249219
TESTc16ac7f367-pandas_testing_dataset (3) 0.60858061945018
anneal (62) 3.7546438249219
anneal (73) 3.7546438249219
anneal (65) 3.7546438249219
pc4 (1) 9.4882619324992
TEST861d5ffaea-XOR (1) 0
anneal (77) 3.7546438249219
anneal (59) 3.7546438249219
anneal (74) 3.7546438249219
gas-drift (1) 2.5410756541344
anneal (4) 3.7546438249219
LED-display-domain-7digit (1) -0.36707981414182
anneal (32) 3.7546438249219
anneal (9) 3.7546438249219
optdigits (1) 4.0666119739713
anneal (13) 3.7546438249219
mfeat-karhunen (1) 0.059176536496529
anneal (39) 3.7546438249219
anneal (55) 3.7546438249219
anneal (90) 3.7546438249219
JapaneseVowels (1) 0.24105325411654
anneal (38) 3.7546438249219
anneal (36) 3.7546438249219
anneal (71) 3.7546438249219
anneal (88) 3.7546438249219
anneal (19) 3.7546438249219
anneal (49) 3.7546438249219
anneal (93) 3.7546438249219
anneal (26) 3.7546438249219
anneal (72) 3.7546438249219
anneal (18) 3.7546438249219
anneal (33) 3.7546438249219
anneal (69) 3.7546438249219
anneal (56) 3.7546438249219
anneal (126) 3.7546438249219
sleep (1) 4.3071319690313
anneal (89) 3.7546438249219
anneal (42) 3.7546438249219
anneal (100) 3.7546438249219
monks-problems-2 (1)
anneal (115) 3.7546438249219
mfeat-factors (1) 0.36651259782511
anneal (91) 3.7546438249219
anneal (119) 3.7546438249219
TEST9103715299-pandas_testing_dataset (2) 0
sick (1) 4.9375240389256
anneal (111) 3.7546438249219
anneal (40) 3.7546438249219
anneal (132) 3.7546438249219
anneal (103) 3.7546438249219
anneal (133) 3.7546438249219
TEST1c3062c843-pandas_testing_dataset (3)
anneal (67) 3.7546438249219
anneal (95) 3.7546438249219
anneal (76) 3.7546438249219
anneal (144) 3.7546438249219
fruitfly (1) 1.5903052309118
anneal (16) 3.7546438249219
anneal (27) 3.7546438249219
TESTfab02098c0-pandas_testing_dataset (2) 0.60858061945018
splice (1)
anneal (147) 3.7546438249219
one-hundred-plants-margin (1) 2.7222833333196
anneal (80) 3.7546438249219
anneal (104) 3.7546438249219
TEST44eb4b8b3f-XOR (1) 0
anneal (97) 3.7546438249219
anneal (70) 3.7546438249219
anneal (125) 3.7546438249219
anneal (113) 3.7546438249219
ozone-level-8hr (1) 0.51164872974269
TESTb5b3545d7e-pandas_testing_dataset (3)
anneal (24) 3.7546438249219
TEST00a13efce9-pandas_testing_dataset (1) 0.60858061945018
triazines (1) 5.3377949177653
anneal (107) 3.7546438249219
anneal (173) 3.7546438249219
TESTfab02098c0-pandas_testing_dataset (3) 0.60858061945018
anneal (99) 3.7546438249219
anneal (176) 3.7546438249219
dresses-sales (2) -1.1647649580554
TESTa86b01f9a8-pandas_testing_dataset (3)
anneal (159) 3.7546438249219
anneal (158) 3.7546438249219
anneal (165) 3.7546438249219
TEST495d1e52d8-pandas_testing_dataset (1) 0.45097512379124
climate-model-simulation-crashes (1) 0.0002243236886818
anneal (94) 3.7546438249219
anneal (146) 3.7546438249219
anneal (181) 3.7546438249219
anneal (178) 3.7546438249219
anneal (129) 3.7546438249219
anneal (131) 3.7546438249219
anneal (163) 3.7546438249219
TEST9b06efad03-pandas_testing_dataset (1) 0.45097512379124
TEST6abd679a4e-ModifiedWeather (1) 0.36899864486967
TEST388a9defc1-pandas_testing_dataset (4) 0.60858061945018
TEST84e16ea643-UploadTestWithURL (1) 0.32926723578831
mfeat-pixel (1)
anneal (105) 3.7546438249219
micro-mass (2) 16.905489092611
anneal (148) 3.7546438249219
TESTd4a9ca9c2d-pandas_testing_dataset (3)
cmc (1) 1.0990139461061
TESTca4a634324-ModifiedWeather (1) 0.36899864486967
anneal (160) 3.7546438249219
anneal (136) 3.7546438249219
anneal (140) 3.7546438249219
anneal (121) 3.7546438249219
TEST5e105f0c38-pandas_testing_dataset (1) 0.45097512379124
anneal (164) 3.7546438249219
TEST78cf97e1d2-pandas_testing_dataset (3)
anneal (182) 3.7546438249219
TESTd746086797-XOR (1) 0
anneal (75) 3.7546438249219
anneal (112) 3.7546438249219
anneal (47) 3.7546438249219
anneal (153) 3.7546438249219
TEST9d1aa3a77e-XOR (1) 0
TEST495d1e52d8-pandas_testing_dataset (3)
TESTe3d8d93ab0-pandas_testing_dataset (3)
TEST0a395eb24e-XOR (1) 0
TEST5e105f0c38-pandas_testing_dataset (2) 0
cjs (3) 1.9935698737932
anneal (123) 3.7546438249219
TEST104676cb6a-pandas_testing_dataset (3) 0.60858061945018
anneal (201) 3.7546438249219
TEST2c4f0b6c26-pandas_testing_dataset (2) 0
anneal (155) 3.7546438249219
anneal (194) 3.7546438249219
anneal (167) 3.7546438249219
anneal (171) 3.7546438249219
anneal (162) 3.7546438249219
anneal (135) 3.7546438249219
anneal (223) 3.7546438249219
TESTdd0a5ebb6e-pandas_testing_dataset (2) 0.60858061945018
anneal (106) 3.7546438249219
TESTfab02098c0-pandas_testing_dataset (4) 0.60858061945018
anneal (161) 3.7546438249219
anneal (143) 3.7546438249219
anneal (197) 3.7546438249219
anneal (199) 3.7546438249219
anneal (137) 3.7546438249219
anneal (154) 3.7546438249219
anneal (134) 3.7546438249219
auto_price (1) 0.91684582360328
TEST104676cb6a-pandas_testing_dataset (4) 0.60858061945018
TESTd66c82a86b-ModifiedWeather (1) 0.36899864486967
TEST9b06efad03-pandas_testing_dataset (2) 0
kc1 (1) 4.7064213407272
anneal (228) 3.7546438249219
TEST0be3452fe0-pandas_testing_dataset (2) 0
anneal (212) 3.7546438249219
anneal (204) 3.7546438249219
anneal (79) 3.7546438249219
anneal (145) 3.7546438249219
anneal (229) 3.7546438249219
TESTdd0a5ebb6e-pandas_testing_dataset (1) 0.60858061945018
TEST388a9defc1-pandas_testing_dataset (2) 0.60858061945018
TEST104676cb6a-pandas_testing_dataset (1) 0.60858061945018
anneal (218) 3.7546438249219
TESTdd0a5ebb6e-pandas_testing_dataset (3) 0.60858061945018
anneal (198) 3.7546438249219
TEST0be3452fe0-pandas_testing_dataset (3)
anneal (98) 3.7546438249219
anneal (12) 3.7546438249219
anneal (214) 3.7546438249219
anneal (120) 3.7546438249219
anneal (209) 3.7546438249219
anneal (256) 3.7546438249219
anneal (110) 3.7546438249219
segment (1) 5.3669545064094
tic-tac-toe (1)
anneal (157) 3.7546438249219
TEST5e105f0c38-pandas_testing_dataset (3)
anneal (102) 3.7546438249219
anneal (262) 3.7546438249219
anneal (170) 3.7546438249219
TEST6ba4d7daec-XOR (1) 0
anneal (232) 3.7546438249219
anneal (237) 3.7546438249219
anneal (241) 3.7546438249219
anneal (221) 3.7546438249219
TESTc8f1eae46a-XOR (1) 0
TEST44aee7d221-ModifiedWeather (1) 0.36899864486967
TEST495d1e52d8-pandas_testing_dataset (2) 0
TEST2c4f0b6c26-pandas_testing_dataset (1) 0.45097512379124
autoMpg (1) 0.90348572335273
anneal (193) 3.7546438249219
anneal (219) 3.7546438249219
TEST2c4f0b6c26-pandas_testing_dataset (3)
TEST9103715299-pandas_testing_dataset (3)
anneal (208) 3.7546438249219
anneal (255) 3.7546438249219
anneal (203) 3.7546438249219
anneal (253) 3.7546438249219
anneal (270) 3.7546438249219
anneal (63) 3.7546438249219
anneal (210) 3.7546438249219
TEST388a9defc1-pandas_testing_dataset (3) 0.60858061945018
anneal (268) 3.7546438249219
anneal (271) 3.7546438249219
TESTe74389f4b6-XOR (1) 0
anneal (222) 3.7546438249219
anneal (195) 3.7546438249219
anneal (250) 3.7546438249219
anneal (205) 3.7546438249219
anneal (128) 3.7546438249219
anneal (233) 3.7546438249219
anneal (82) 3.7546438249219
TESTf738f069ca-pandas_testing_dataset (4) 0.60858061945018
anneal (225) 3.7546438249219
TESTdd0a5ebb6e-pandas_testing_dataset (4) 0.60858061945018
anneal (184) 3.7546438249219
anneal (68) 3.7546438249219
anneal (236) 3.7546438249219
anneal (186) 3.7546438249219
anneal (191) 3.7546438249219
anneal (166) 3.7546438249219
anneal (247) 3.7546438249219
anneal (248) 3.7546438249219
anneal (269) 3.7546438249219
anneal (11) 3.7546438249219
anneal (92) 3.7546438249219
anneal (267) 3.7546438249219
anneal (226) 3.7546438249219
anneal (257) 3.7546438249219
anneal (190) 3.7546438249219
anneal (263) 3.7546438249219
TESTdd2273bbad-pandas_testing_dataset (3)
TESTbdcda46197-pandas_testing_dataset (3)
quake (1) 2.7815207606211
TESTcbac53b2c5-XOR (1) 0
anneal (57) 3.7546438249219
TESTb7d5691345-XOR (1) 0
anneal (192) 3.7546438249219
anneal (230) 3.7546438249219
anneal (202) 3.7546438249219
anneal (251) 3.7546438249219
anneal (206) 3.7546438249219
anneal (139) 3.7546438249219
anneal (188) 3.7546438249219
TEST5037c378b1-pandas_testing_dataset (3)
TEST388a9defc1-pandas_testing_dataset (1) 0.60858061945018
anneal (152) 3.7546438249219
TEST9b06efad03-pandas_testing_dataset (3)
anneal (266) 3.7546438249219
anneal (187) 3.7546438249219
anneal (200) 3.7546438249219
anneal (254) 3.7546438249219
anneal (242) 3.7546438249219
anneal (240) 3.7546438249219
anneal (213) 3.7546438249219
anneal (183) 3.7546438249219
Click_prediction_small (5) 5.5237726222324
anneal (156) 3.7546438249219
TEST2f9e899c65-XOR (1) 0
anneal (246) 3.7546438249219
anneal (151) 3.7546438249219
anneal (52) 3.7546438249219
anneal (109) 3.7546438249219
anneal (215) 3.7546438249219
anneal (261) 3.7546438249219
anneal (168) 3.7546438249219
TEST3620d8fbd0-XOR (1) 0
anneal (258) 3.7546438249219
irish (1) 0.44614225860054
anneal (239) 3.7546438249219
anneal (252) 3.7546438249219
anneal (81) 3.7546438249219
anneal (244) 3.7546438249219
TEST104676cb6a-pandas_testing_dataset (2) 0.60858061945018
TESTc16ac7f367-pandas_testing_dataset (4) 0.60858061945018
TESTfab02098c0-pandas_testing_dataset (1) 0.60858061945018
anneal (275) 3.7546438249219
anneal (274) 3.7546438249219
anneal (312) 3.7546438249219
anneal (280) 3.7546438249219
anneal (286) 3.7546438249219
anneal (301) 3.7546438249219
anneal (282) 3.7546438249219
anneal (284) 3.7546438249219
anneal (273) 3.7546438249219
anneal (278) 3.7546438249219
anneal (333) 3.7546438249219
anneal (318) 3.7546438249219
anneal (359) 3.7546438249219
anneal (356) 3.7546438249219
anneal (385) 3.7546438249219
anneal (379) 3.7546438249219
anneal (298) 3.7546438249219
anneal (311) 3.7546438249219
anneal (320) 3.7546438249219
anneal (362) 3.7546438249219
anneal (355) 3.7546438249219
anneal (357) 3.7546438249219
anneal (337) 3.7546438249219
anneal (381) 3.7546438249219
anneal (335) 3.7546438249219
anneal (336) 3.7546438249219
anneal (384) 3.7546438249219
TESTfa348335d3-pandas_testing_dataset (3)
anneal (332) 3.7546438249219
anneal (346) 3.7546438249219
anneal (388) 3.7546438249219
anneal (305) 3.7546438249219
anneal (343) 3.7546438249219
anneal (288) 3.7546438249219
TEST845a642017-pandas_testing_dataset (3)
anneal (340) 3.7546438249219
anneal (374) 3.7546438249219
anneal (372) 3.7546438249219
anneal (371) 3.7546438249219
TEST5b30e679ed-pandas_testing_dataset (1) 0.60858061945018
anneal (383) 3.7546438249219
anneal (358) 3.7546438249219
anneal (395) 3.7546438249219
TEST6f97db9a3e-ModifiedWeather (1) 0.36899864486967
anneal (290) 3.7546438249219
anneal (324) 3.7546438249219
TEST5b30e679ed-pandas_testing_dataset (4) 0.60858061945018
TEST7dc1ecdb15-XOR (1) 0
anneal (354) 3.7546438249219
anneal (303) 3.7546438249219
anneal (319) 3.7546438249219
anneal (334) 3.7546438249219
anneal (405) 3.7546438249219
anneal (404) 3.7546438249219
anneal (308) 3.7546438249219
anneal (398) 3.7546438249219
anneal (291) 3.7546438249219
TEST6dc49fc872-pandas_testing_dataset (2) 0
anneal (402) 3.7546438249219
TESTb410f44fd0-pandas_testing_dataset (3) 0.60858061945018
anneal (317) 3.7546438249219
TESTb410f44fd0-pandas_testing_dataset (1) 0.60858061945018
TESTc5c73d43cf-XOR (1) 0
anneal (360) 3.7546438249219
anneal (403) 3.7546438249219
anneal (277) 3.7546438249219
anneal (407) 3.7546438249219
TEST5b30e679ed-pandas_testing_dataset (3) 0.60858061945018
anneal (410) 3.7546438249219
anneal (361) 3.7546438249219
TEST9161e0d711-pandas_testing_dataset (3)
TESTeedf1c617e-pandas_testing_dataset (3) 0.60858061945018
TEST58188dfbc6-pandas_testing_dataset (3) 0.60858061945018
TESTa5e33d6c29-pandas_testing_dataset (1) 0.45097512379124
TESTb410f44fd0-pandas_testing_dataset (2) 0.60858061945018
TEST6dc49fc872-pandas_testing_dataset (1) 0.45097512379124
TESTb918af0e2d-pandas_testing_dataset (4) 0.60858061945018
anneal (409) 3.7546438249219
anneal (347) 3.7546438249219
anneal (295) 3.7546438249219
anneal (348) 3.7546438249219
TEST0938a9daba-pandas_testing_dataset (3)
anneal (287) 3.7546438249219
TESTca5628eaef-pandas_testing_dataset (1) 0.45097512379124
anneal (314) 3.7546438249219
anneal (408) 3.7546438249219
TESTc9ed3920cd-XOR (1) 0
TESTeedf1c617e-pandas_testing_dataset (2) 0.60858061945018
TESTa5e33d6c29-pandas_testing_dataset (3)
TESTa10ede6728-XOR (1) 0
anneal (342) 3.7546438249219
TESTeedf1c617e-pandas_testing_dataset (4) 0.60858061945018
TESTb918af0e2d-pandas_testing_dataset (3) 0.60858061945018
anneal (422) 3.7546438249219
anneal (296) 3.7546438249219
anneal (276) 3.7546438249219
anneal (418) 3.7546438249219
anneal (304) 3.7546438249219
anneal (399) 3.7546438249219
TESTa5e33d6c29-pandas_testing_dataset (2) 0
anneal (390) 3.7546438249219
TEST10c25a3b38-pandas_testing_dataset (3)
anneal (424) 3.7546438249219
TESTed776f0840-pandas_testing_dataset (3)
anneal (412) 3.7546438249219
anneal (417) 3.7546438249219
anneal (283) 3.7546438249219
anneal (425) 3.7546438249219
anneal (400) 3.7546438249219
TESTed7333f3d2-ModifiedWeather (1) 0.36899864486967
anneal (420) 3.7546438249219
anneal (413) 3.7546438249219
anneal (423) 3.7546438249219
TESTf9ea71bde7-XOR (1) 0
anneal (325) 3.7546438249219
TEST5b30e679ed-pandas_testing_dataset (2) 0.60858061945018
anneal (434) 3.7546438249219
anneal (365) 3.7546438249219
anneal (426) 3.7546438249219
TEST855da0f4bb-ModifiedWeather (1) 0.36899864486967
TEST84e82f2c56-ModifiedWeather (1) 0.36899864486967
TESTb9093fb3b4-ModifiedWeather (1) 0.36899864486967
TEST178704e3b7-ModifiedWeather (1) 0.36899864486967
anneal (393) 3.7546438249219
TESTd655778eb6-ModifiedWeather (1) 0.36899864486967
anneal (438) 3.7546438249219
TEST17eccd9837-pandas_testing_dataset (3) 0.60858061945018
anneal (433) 3.7546438249219
TESTb918af0e2d-pandas_testing_dataset (2) 0.60858061945018
TESTca5628eaef-pandas_testing_dataset (2) 0
TESTf2a16c917e-XOR (1) 0
anneal (429) 3.7546438249219
anneal (443) 3.7546438249219
anneal (401) 3.7546438249219
anneal (363) 3.7546438249219
anneal (344) 3.7546438249219
anneal (380) 3.7546438249219
TEST6dc49fc872-pandas_testing_dataset (3)