Measure

Quartile1KurtosisOfNumericAtts

First quartile of kurtosis among attributes of the numeric type.

Value per dataset

triazines (1) 0.21260505796022
anneal (8) -0.4030502208901
anneal (4) -0.4030502208901
anneal (2) -0.4030502208901
XOR (1) -6
Weather (1) -1.3690190502188
web_questionsQA (1)
anneal (6) -0.4030502208901
anneal (7) -0.4030502208901
Weather (2) -1.3690190502188
TEST9e3886e694-XOR (1) -6
iris (2) -1.3863791432689
anneal (12) -0.4030502208901
anneal (14) 0.30913249585386
TESTc7ba0dcb5a-XOR (1) -6
TESTed4a84a4bb-pandas_testing_dataset (2) -6
test (6) -1.3863791432689
TEST51ef687b9d-pandas_testing_dataset (2) -3.3333333333333
Diabetes(scikit-learn) (1) -0.6712236886196
anneal (13) -0.4030502208901
TESTb633b550cf-pandas_testing_dataset (1) -2.8282955817614
test (4) -1.3863791432689
TEST51ef687b9d-pandas_testing_dataset (1) -3.3333333333333
TESTed4a84a4bb-pandas_testing_dataset (1) -2.8282955817614
test (3) -1.3863791432689
test (1) -1.3863791432689
test (2) -1.3863791432689
TEST51ef687b9d-pandas_testing_dataset (4) -3.3333333333333
anneal (9) -0.4030502208901
TESTaf99b42041-ModifiedWeather (1) -1.3690190502188
XOR (2) -6
test (9) -1.3863791432689
anneal (17) -0.4030502208901
test (7) -1.3863791432689
TESTe216022baf-UploadTestWithURL (1) -1.3863791432689
iris-challenge (1) -1.3863791432689
TEST8facacd8dc-UploadTestWithURL (1) -1.3863791432689
test (10) -1.3863791432689
test (14) -1.3863791432689
test (5) -1.3863791432689
test (13) -1.3863791432689
test (12) -1.3863791432689
TEST51ef687b9d-pandas_testing_dataset (3) -3.3333333333333
TESTed4a84a4bb-pandas_testing_dataset (3)
anneal (3) -0.4030502208901
anneal (23) -0.4030502208901
TEST0ea351d931-pandas_testing_dataset (1) -3.3333333333333
anneal (24) -0.4030502208901
anneal (18) -0.4030502208901
test (11) -1.3863791432689
test (8) -1.3863791432689
anneal (26) -0.4030502208901
anneal (27) -0.4030502208901
anneal (39) -0.4030502208901
anneal (43) -0.4030502208901
anneal (63) -0.4030502208901
test (16) -1.3863791432689
TEST840571e677-pandas_testing_dataset (1) -2.8282955817614
anneal (58) -0.4030502208901
Weather (6) -1.3690190502188
anneal (62) -0.4030502208901
anneal (30) -0.4030502208901
test (24) -1.3863791432689
test (20) -1.3863791432689
anneal (66) -0.4030502208901
anneal (34) -0.4030502208901
anneal (38) -0.4030502208901
anneal (41) -0.4030502208901
Weather (3) -1.3690190502188
XOR (4) -6
Weather (4) -1.3690190502188
Weather (8) -1.3690190502188
test (19) -1.3863791432689
test (21) -1.3863791432689
Diabetes(scikit-learn) (3) -0.6712236886196
XOR (3) -6
anneal (48) -0.4030502208901
XOR (6) -6
test (27) -1.3863791432689
XOR (5) -6
spambase (1) 50.655931063003
anneal (49) -0.4030502208901
test (33) -1.3863791432689
anneal (32) -0.4030502208901
anneal (45) -0.4030502208901
anneal (16) -0.4030502208901
anneal (57) -0.4030502208901
Weather (5) -1.3690190502188
test (26) -1.3863791432689
XOR (7) -6
test (36) -1.3863791432689
test (23) -1.3863791432689
anneal (59) -0.4030502208901
test (28) -1.3863791432689
anneal (42) -0.4030502208901
anneal (33) -0.4030502208901
test (15) -1.3863791432689
anneal (37) -0.4030502208901
anneal (53) -0.4030502208901
anneal (25) -0.4030502208901
anneal (56) -0.4030502208901
test (39) -1.3863791432689
TEST2fe1e97c97-pandas_testing_dataset (1) -3.3333333333333
test (35) -1.3863791432689
test (29) -1.3863791432689
test (31) -1.3863791432689
anneal (52) -0.4030502208901
Diabetes(scikit-learn) (4) -0.6712236886196
anneal (54) -0.4030502208901
Weather (7) -1.3690190502188
test (22) -1.3863791432689
test (38) -1.3863791432689
test (32) -1.3863791432689
test (18) -1.3863791432689
Diabetes(scikit-learn) (2) -0.6712236886196
vineyard (1) -0.74590035519805
anneal (31) -0.4030502208901
Weather (9) -1.3690190502188
Diabetes(scikit-learn) (5) -0.6712236886196
TESTccda34c750-pandas_testing_dataset (1) -2.8282955817614
anneal (74) -0.4030502208901
Weather (11) -1.3690190502188
anneal (61) -0.4030502208901
test (17) -1.3863791432689
TEST22dd0ebd9b-ModifiedWeather (1) -1.3690190502188
anneal (36) -0.4030502208901
test (43) -1.3863791432689
XOR (9) -6
anneal (89) -0.4030502208901
TESTee7d03de92-pandas_testing_dataset (1) -2.8282955817614
anneal (77) -0.4030502208901
anneal (84) -0.4030502208901
TEST76d8cfa095-pandas_testing_dataset (1) -3.3333333333333
XOR (10) -6
autoPrice (1) -0.11741065324253
quake (1) -0.81349347517574
TEST5f1dfbd75d-pandas_testing_dataset (1) -3.3333333333333
anneal (95) -0.4030502208901
anneal (80) -0.4030502208901
test (40) -1.3863791432689
TESTda410c34dc-pandas_testing_dataset (2) -3.3333333333333
TEST398fcda80b-ModifiedWeather (1) -1.3690190502188
TEST7e318eb969-pandas_testing_dataset (3)
Weather (10) -1.3690190502188
test (41) -1.3863791432689
TEST76d8cfa095-pandas_testing_dataset (3) -3.3333333333333
test (49) -1.3863791432689
Diabetes(scikit-learn) (6) -0.6712236886196
TESTda410c34dc-pandas_testing_dataset (3) -3.3333333333333
TEST5f1dfbd75d-pandas_testing_dataset (3) -3.3333333333333
TEST5705382a07-UploadTestWithURL (1) -1.3863791432689
TESTccda34c750-pandas_testing_dataset (2) -6
TEST5f1dfbd75d-pandas_testing_dataset (2) -3.3333333333333
XOR (14) -6
XOR (11) -6
TEST5f1dfbd75d-pandas_testing_dataset (4) -3.3333333333333
anneal (83) -0.4030502208901
TEST2fb3e3c09b-XOR (1) -6
anneal (101) -0.4030502208901
anneal (92) -0.4030502208901
anneal (75) -0.4030502208901
XOR (8) -6
Weather (14) -1.3690190502188
TESTccda34c750-pandas_testing_dataset (3)
test (42) -1.3863791432689
test (30) -1.3863791432689
XOR (13) -6
anneal (103) -0.4030502208901
Weather (12) -1.3690190502188
anneal (90) -0.4030502208901
anneal (73) -0.4030502208901
anneal (88) -0.4030502208901
TESTe2a3b91028-ModifiedWeather (1) -1.3690190502188
TESTf7444a8ea4-pandas_testing_dataset (3)
TEST07c2b360c0-pandas_testing_dataset (3)
TEST7e318eb969-pandas_testing_dataset (2) -6
test (47) -1.3863791432689
test (50) -1.3863791432689
TESTda410c34dc-pandas_testing_dataset (1) -3.3333333333333
anneal (98) -0.4030502208901
test (37) -1.3863791432689
anneal (86) -0.4030502208901
anneal (105) -0.4030502208901
anneal (87) -0.4030502208901
anneal (99) -0.4030502208901
test (44) -1.3863791432689
TESTcf74ef9481-XOR (1) -6
XOR (12) -6
test (51) -1.3863791432689
anneal (91) 0.30913249585386
test (46) -1.3863791432689
test (45) -1.3863791432689
test (52) -1.3863791432689
anneal (44) -0.4030502208901
anneal (79) -0.4030502208901
anneal (28) -0.4030502208901
test (48) -1.3863791432689
TEST7e318eb969-pandas_testing_dataset (1) -2.8282955817614
TESTda410c34dc-pandas_testing_dataset (4) -3.3333333333333
TEST07c2b360c0-pandas_testing_dataset (2) -6
TESTdcaa77be46-XOR (1) -6
TEST8eecdebbd6-XOR (1) -6
anneal (102) -0.4030502208901
Diabetes(scikit-learn) (7) -0.6712236886196
anneal (97) -0.4030502208901
TEST2302efba1e-XOR (1) -6
anneal (72) -0.4030502208901
test (34) -1.3863791432689
TEST07c2b360c0-pandas_testing_dataset (1) -2.8282955817614
Weather (13) -1.3690190502188
TESTc09922bc0f-XOR (1) -6
test (25) -1.3863791432689
TEST76d8cfa095-pandas_testing_dataset (2) -3.3333333333333
TEST76d8cfa095-pandas_testing_dataset (4) -3.3333333333333
anneal (11) -0.4030502208901
anneal (106) -0.4030502208901
anneal (115) -0.4030502208901
XOR (18) -6
anneal (116) 0.30913249585386
anneal (113) -0.4030502208901
anneal (107) -0.4030502208901
anneal (82) -0.4030502208901
anneal (114) -0.4030502208901
Diabetes(scikit-learn) (9) -0.6712236886196
Diabetes(scikit-learn) (8) -0.6712236886196
Diabetes(scikit-learn) (10) -0.6712236886196
anneal (119) -0.4030502208901
anneal (118) -0.4030502208901
XOR (21) -6
Weather (17) -1.3690190502188
Weather (21) -1.3690190502188
XOR (23) -6
XOR (19) -6
XOR (17) -6
XOR (16) -6
XOR (24) -6
Diabetes(scikit-learn) (11) -0.6712236886196
anneal (108) -0.4030502208901
cloud (1) 0.77370928119797
anneal (141) -0.4030502208901
Weather (18) -1.3690190502188
anneal (147) -0.4030502208901
anneal (136) -0.4030502208901
anneal (135) -0.4030502208901
anneal (122) -0.4030502208901
XOR (22) -6
Weather (22) -1.3690190502188
anneal (112) -0.4030502208901
XOR (29) -6
anneal (128) -0.4030502208901
anneal (139) -0.4030502208901
XOR (27) -6
cholesterol (1) -0.13875398792998
fourclass_scale (1) -1.6415832585347
anneal (151) -0.4030502208901
anneal (132) -0.4030502208901
anneal (156) -0.4030502208901
anneal (134) -0.4030502208901
anneal (149) -0.4030502208901
Weather (16) -1.3690190502188
Weather (15) -1.3690190502188
Weather (27) -1.3690190502188
anneal (126) -0.4030502208901
anneal (167) -0.4030502208901
anneal (127) -0.4030502208901
anneal (131) -0.4030502208901
anneal (124) -0.4030502208901
Diabetes(scikit-learn) (15) -0.6712236886196
Diabetes(scikit-learn) (14) -0.6712236886196
anneal (143) -0.4030502208901
anneal (121) -0.4030502208901
anneal (146) -0.4030502208901
anneal (158) -0.4030502208901
anneal (120) -0.4030502208901
anneal (117) -0.4030502208901
Weather (24) -1.3690190502188
Diabetes(scikit-learn) (12) -0.6712236886196
XOR (31) -6
anneal (150) -0.4030502208901
XOR (32) -6
Weather (23) -1.3690190502188
anneal (160) -0.4030502208901
Diabetes(scikit-learn) (17) -0.6712236886196
anneal (155) -0.4030502208901
Weather (30) -1.3690190502188
anneal (110) -0.4030502208901
anneal (173) -0.4030502208901
Weather (20) -1.3690190502188
TEST569e152152-pandas_testing_dataset (2) -6
XOR (33) -6
Weather (26) -1.3690190502188
Weather (28) -1.3690190502188
XOR (15) -6
anneal (137) -0.4030502208901
Weather (19) -1.3690190502188
anneal (144) -0.4030502208901
XOR (25) -6
anneal (166) -0.4030502208901
XOR (30) -6
anneal (159) -0.4030502208901
anneal (161) -0.4030502208901
anneal (154) -0.4030502208901
anneal (125) -0.4030502208901
Weather (31) -1.3690190502188
Weather (34) -1.3690190502188
anneal (168) -0.4030502208901
anneal (172) -0.4030502208901
anneal (140) -0.4030502208901
anneal (129) -0.4030502208901
anneal (174) -0.4030502208901
XOR (20) -6
Weather (25) -1.3690190502188
Diabetes(scikit-learn) (16) -0.6712236886196
XOR (34) -6
XOR (28) -6
anneal (162) -0.4030502208901
anneal (109) -0.4030502208901
anneal (171) -0.4030502208901
anneal (164) -0.4030502208901
anneal (145) -0.4030502208901
anneal (123) -0.4030502208901
Weather (33) -1.3690190502188
Diabetes(scikit-learn) (13) -0.6712236886196
XOR (26) -6
anneal (152) -0.4030502208901
anneal (169) -0.4030502208901
anneal (142) -0.4030502208901
Weather (29) -1.3690190502188
Weather (32) -1.3690190502188
TEST63cd902071-pandas_testing_dataset (2) -3.3333333333333
anneal (175) -0.4030502208901
TESTe55d2d0c3d-pandas_testing_dataset (2) -6
anneal (177) -0.4030502208901
TESTe55d2d0c3d-pandas_testing_dataset (3)
anneal (178) 0.30913249585386
TEST9d96ec7ade-UploadTestWithURL (1) -1.3863791432689
anneal (180) -0.4030502208901
TESTcf61db30f6-pandas_testing_dataset (1) -2.8282955817614
anneal (181) -0.4030502208901
TEST63cd902071-pandas_testing_dataset (4) -3.3333333333333
TEST63cd902071-pandas_testing_dataset (3) -3.3333333333333
TESTada3067c77-XOR (1) -6
TESTf112d7f8be-XOR (1) -6
TEST9ecb165245-UploadTestWithURL (1) -1.3863791432689
anneal (179) -0.4030502208901
TESTaebada2a36-ModifiedWeather (1) -1.3690190502188
TESTe55d2d0c3d-pandas_testing_dataset (1) -2.8282955817614
TEST63cd902071-pandas_testing_dataset (1) -3.3333333333333
anneal (182) -0.4030502208901
anneal (183) -0.4030502208901
anneal (184) -0.4030502208901
anneal (185) -0.4030502208901
Weather (35) -1.3690190502188
anneal (190) -0.4030502208901
anneal (187) -0.4030502208901
anneal (192) -0.4030502208901
anneal (191) -0.4030502208901
Weather (36) -1.3690190502188
XOR (36) -6
wisconsin (1) 0.44111439532739
anneal (186) -0.4030502208901
anneal (189) -0.4030502208901
Diabetes(scikit-learn) (18) -0.6712236886196
XOR (35) -6
anneal (193) 0.30913249585386
ModifiedWeather (1) -1.3690190502188
XOR (37) -6
XOR (38) -6
UploadTestWithURL (1) -1.3863791432689
UploadTestWithURL (2) -1.3863791432689
anneal (195) -0.4030502208901
anneal (198) -0.4030502208901
anneal (194) -0.4030502208901
anneal (201) -0.4030502208901
Weather (38) -1.3690190502188
XOR (39) -6
Weather (37) -1.3690190502188
Diabetes(scikit-learn) (19) -0.6712236886196
anneal (199) -0.4030502208901
anneal (196) -0.4030502208901
anneal (200) -0.4030502208901
XOR (40) -6
anneal (176) -0.4030502208901
anneal (208) -0.4030502208901
anneal (202) -0.4030502208901
anneal (206) -0.4030502208901
Weather (39) -1.3690190502188
XOR (42) -6
anneal (203) -0.4030502208901
anneal (209) -0.4030502208901
anneal (207) -0.4030502208901
anneal (204) -0.4030502208901
Weather (40) -1.3690190502188
Diabetes(scikit-learn) (20) -0.6712236886196
XOR (41) -6
anneal (94) -0.4030502208901
anneal (213) -0.4030502208901
anneal (215) -0.4030502208901
Diabetes(scikit-learn) (21) -0.6712236886196
Weather (42) -1.3690190502188
Weather (41) -1.3690190502188
XOR (43) -6
anneal (211) -0.4030502208901
anneal (210) -0.4030502208901
anneal (214) -0.4030502208901
anneal (212) -0.4030502208901
anneal (218) -0.4030502208901
XOR (44) -6
anneal (222) -0.4030502208901
Weather (43) -1.3690190502188
anneal (220) -0.4030502208901
XOR (46) -6
anneal (224) -0.4030502208901
anneal (226) -0.4030502208901
anneal (219) -0.4030502208901
Diabetes(scikit-learn) (22) -0.6712236886196
XOR (45) -6
anneal (221) -0.4030502208901
anneal (225) -0.4030502208901
Weather (44) -1.3690190502188
fruitfly (1) -0.41040464259802
sleep (1) -1.2172974538057
anneal (234) -0.4030502208901
Diabetes(scikit-learn) (23) -0.6712236886196
anneal (244) -0.4030502208901
XOR (50) -6
anneal (228) -0.4030502208901
anneal (237) -0.4030502208901
anneal (242) -0.4030502208901
anneal (231) -0.4030502208901
Weather (47) -1.3690190502188
Weather (45) -1.3690190502188
TEST08f51af3c8-pandas_testing_dataset (1) -2.8282955817614
TESTa365aee568-UploadTestWithURL (1) -1.3863791432689
anneal (233) -0.4030502208901
anneal (240) -0.4030502208901
anneal (229) -0.4030502208901
TEST037907c164-pandas_testing_dataset (3)
TESTa540f38c2d-pandas_testing_dataset (1) -3.3333333333333
TESTfd496f5b4d-XOR (1) -6
TEST037907c164-pandas_testing_dataset (2) -6
XOR (47) -6
XOR (48) -6
TEST82462bce44-UploadTestWithURL (1) -1.3863791432689
XOR (49) -6
anneal (241) -0.4030502208901
anneal (227) -0.4030502208901
anneal (236) -0.4030502208901
TESTa540f38c2d-pandas_testing_dataset (4) -3.3333333333333
Weather (46) -1.3690190502188
Weather (48) -1.3690190502188
anneal (235) 0.30913249585386
TESTa540f38c2d-pandas_testing_dataset (2) -3.3333333333333
TESTa540f38c2d-pandas_testing_dataset (3) -3.3333333333333
anneal (238) -0.4030502208901
Diabetes(scikit-learn) (24) -0.6712236886196
GermanCreditModified (1) -1.2243785540927
GermanCreditModified (3) -1.2243785540927
GermanCreditModified (2) -1.2243785540927
TEST062fea70c5-XOR (1) -6
anneal (249) -0.4030502208901
Weather (50) -1.3690190502188
anneal (246) -0.4030502208901
anneal (251) -0.4030502208901
anneal (252) -0.4030502208901
anneal (247) -0.4030502208901
anneal (245) -0.4030502208901
XOR (51) -6
anneal (250) -0.4030502208901
Weather (49) -1.3690190502188
Diabetes(scikit-learn) (25) -0.6712236886196
XOR (52) -6
pharynx (1) 0.2780418059174
anneal (232) -0.4030502208901
bolts (1) -1.8237908961593
cpu_act (1) 4.8911241724091
delta_elevators (1) -0.42225076762322
kin8nm (1) -1.1977913360993
diabetes_numeric (1) -0.64765083413635
satimage (1) -0.83938116574984
anneal (253) -0.4030502208901
anneal (255) -0.4030502208901
anneal (257) -0.4030502208901
anneal (260) -0.4030502208901
Weather (52) -1.3690190502188
Diabetes(scikit-learn) (26) -0.6712236886196
anneal (258) -0.4030502208901
XOR (54) -6
anneal (254) -0.4030502208901
anneal (259) -0.4030502208901
Weather (51) -1.3690190502188
XOR (53) -6
anneal (264) -0.4030502208901
Diabetes(scikit-learn) (27) -0.6712236886196
anneal (266) -0.4030502208901
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semeion (1) -1.7865540726249
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anneal (279) 0.30913249585386
TEST48d84f339b-UploadTestWithURL (1) -1.3863791432689
TEST119265b835-UploadTestWithURL (1) -1.3863791432689
pbc (1) 0.56674452910243
pol (1) 3.3340719419135
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mbagrade (1) -0.29766518636022
cleveland (1) -0.13875398792998
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segment (1) 0.094971522416726
abalone (1) -0.023643504269979
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detroit (1) -1.3401945317886
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anneal (312) -0.4030502208901
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lowbwt (1) -0.081415742668369
longley (1) -1.2
anneal (328) -0.4030502208901
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anneal (1) -0.4030502208901
anneal (333) -0.4030502208901
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anneal (335) -0.4030502208901
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kr-vs-kp (1)
mfeat-pixel (1)
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mushroom (1)
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isolet (1) -0.73732041278418
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scene (1) 0.25977447486139
monks-problems-1 (1)
monks-problems-2 (1)
monks-problems-3 (1)
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soybean (1)
splice (1)
tic-tac-toe (1)
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eucalyptus (1) -0.4961422376731
credit-a (1) 1.9853254475312
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pendigits (1) -1.197260084592
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cnae-9 (1) 211.990367071
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ilpd (1) -0.077433110789426
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Amazon_employee_access (1)
PhishingWebsites (1)
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cylinder-bands (2) 0.37665114446359
cjs (3) -0.53338154421738
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wall-robot-navigation (1) -0.96764411879064
steel-plates-fault (1) -1.0610900871365
tamilnadu-electricity (1) -1.2001834231677
wilt (1) 3.7482191323324
adult (2) 0.42324176943425
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gina_agnostic (1) -1.5314782908368
ada_agnostic (1) 2.6733714217933
mozilla4 (1) -1.5578760957638
pc4 (1) 9.7360665808469
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jm1 (1) 187.28804596953
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irish (1) -0.50079644628543
analcatdata_authorship (1) 0.3616781435065
analcatdata_dmft (1)
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collins (1) 0.31263763178831
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kc2 (1) 43.98058696396
kc1 (1) 12.284905644252
pc1 (1) 56.288454200325
musk (1) -1.0396747086928
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banknote-authentication (1) -0.6729889170842
blood-transfusion-service-center (1) 2.1636136713782
cardiotocography (1) -0.29294291107467
nomao (1) 0.95411780035864
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qsar-biodeg (1) 3.3827125097328
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wdbc (1) 0.96518255475262
dresses-sales (2) -0.58208911872682
hill-valley (1) 9.2155854954708
car (1)
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balance-scale (1) -1.30079843925