Measure

Quartile2KurtosisOfNumericAtts

Second quartile (Median) of kurtosis among attributes of the numeric type.

Value per dataset

triazines (1) 5.2911663685481
anneal (8) 1.6372437439142
anneal (4) 1.6372437439142
anneal (2) 1.6372437439142
XOR (1) -6
Weather (1) -1.1242658082956
web_questionsQA (1)
anneal (6) 1.6372437439142
anneal (7) 1.6372437439142
Weather (2) -1.1242658082956
TEST9e3886e694-XOR (1) -6
iris (2) -0.9459091062275
anneal (12) 1.6372437439142
anneal (14) 0.88530443901286
TESTc7ba0dcb5a-XOR (1) -6
TESTed4a84a4bb-pandas_testing_dataset (2) -6
test (6) -0.9459091062275
TEST51ef687b9d-pandas_testing_dataset (2) -2.2666666666667
Diabetes(scikit-learn) (1) 0.095094474275169
anneal (13) 1.6372437439142
TESTb633b550cf-pandas_testing_dataset (1) -1.2439751995134
test (4) -0.9459091062275
TEST51ef687b9d-pandas_testing_dataset (1) -2.2666666666667
TESTed4a84a4bb-pandas_testing_dataset (1) -1.2439751995134
test (3) -0.9459091062275
test (1) -0.9459091062275
test (2) -0.9459091062275
TEST51ef687b9d-pandas_testing_dataset (4) -2.2666666666667
anneal (9) 1.6372437439142
TESTaf99b42041-ModifiedWeather (1) -1.1242658082956
XOR (2) 4
test (9) -0.9459091062275
anneal (17) 1.6372437439142
test (7) -0.9459091062275
TESTe216022baf-UploadTestWithURL (1) -0.9459091062275
iris-challenge (1) -0.9459091062275
TEST8facacd8dc-UploadTestWithURL (1) -0.9459091062275
test (10) -0.9459091062275
test (14) -0.9459091062275
test (5) -0.9459091062275
test (13) -0.9459091062275
test (12) -0.9459091062275
TEST51ef687b9d-pandas_testing_dataset (3) -3.3333333333333
TESTed4a84a4bb-pandas_testing_dataset (3)
anneal (3) 1.6372437439142
anneal (23) 1.6372437439142
TEST0ea351d931-pandas_testing_dataset (1) -2.2666666666667
anneal (24) 1.6372437439142
anneal (18) 1.6372437439142
test (11) -0.9459091062275
test (8) -0.9459091062275
anneal (26) 1.6372437439142
anneal (27) 1.6372437439142
anneal (39) 1.6372437439142
anneal (43) 1.6372437439142
anneal (63) 1.6372437439142
test (16) -0.9459091062275
TEST840571e677-pandas_testing_dataset (1) -1.2439751995134
anneal (58) 1.6372437439142
Weather (6) -1.1242658082956
anneal (62) 1.6372437439142
anneal (30) 1.6372437439142
test (24) -0.9459091062275
test (20) -0.9459091062275
anneal (66) 1.6372437439142
anneal (34) 1.6372437439142
anneal (38) 1.6372437439142
anneal (41) 1.6372437439142
Weather (3) -1.1242658082956
XOR (4) 4
Weather (4) -1.1242658082956
Weather (8) -1.1242658082956
test (19) -0.9459091062275
test (21) -0.9459091062275
Diabetes(scikit-learn) (3) 0.095094474275169
XOR (3) -6
anneal (48) 1.6372437439142
XOR (6) 4
test (27) -0.9459091062275
XOR (5) -6
spambase (1) 127.3765293485
anneal (49) 1.6372437439142
test (33) -0.9459091062275
anneal (32) 1.6372437439142
anneal (45) 1.6372437439142
anneal (16) 1.6372437439142
anneal (57) 1.6372437439142
Weather (5) -1.1242658082956
test (26) -0.9459091062275
XOR (7) -6
test (36) -0.9459091062275
test (23) -0.9459091062275
anneal (59) 1.6372437439142
test (28) -0.9459091062275
anneal (42) 1.6372437439142
anneal (33) 1.6372437439142
test (15) -0.9459091062275
anneal (37) 1.6372437439142
anneal (53) 1.6372437439142
anneal (25) 1.6372437439142
anneal (56) 1.6372437439142
test (39) -0.9459091062275
TEST2fe1e97c97-pandas_testing_dataset (1) -2.2666666666667
test (35) -0.9459091062275
test (29) -0.9459091062275
test (31) -0.9459091062275
anneal (52) 1.6372437439142
Diabetes(scikit-learn) (4) 0.095094474275169
anneal (54) 1.6372437439142
Weather (7) -1.1242658082956
test (22) -0.9459091062275
test (38) -0.9459091062275
test (32) -0.9459091062275
test (18) -0.9459091062275
Diabetes(scikit-learn) (2) 0.095094474275169
vineyard (1) 0.57858911291262
anneal (31) 1.6372437439142
Weather (9) -1.1242658082956
Diabetes(scikit-learn) (5) 0.095094474275169
TESTccda34c750-pandas_testing_dataset (1) -1.2439751995134
anneal (74) 1.6372437439142
Weather (11) -1.1242658082956
anneal (61) 1.6372437439142
test (17) -0.9459091062275
TEST22dd0ebd9b-ModifiedWeather (1) -1.1242658082956
anneal (36) 1.6372437439142
test (43) -0.9459091062275
XOR (9) -6
anneal (89) 1.6372437439142
TESTee7d03de92-pandas_testing_dataset (1) -1.2439751995134
anneal (77) 1.6372437439142
anneal (84) 1.6372437439142
TEST76d8cfa095-pandas_testing_dataset (1) -2.2666666666667
XOR (10) 4
autoPrice (1) 0.62997675934264
quake (1) 0.38599833165403
TEST5f1dfbd75d-pandas_testing_dataset (1) -2.2666666666667
anneal (95) 1.6372437439142
anneal (80) 1.6372437439142
test (40) -0.9459091062275
TESTda410c34dc-pandas_testing_dataset (2) -2.2666666666667
TEST398fcda80b-ModifiedWeather (1) -1.1242658082956
TEST7e318eb969-pandas_testing_dataset (3)
Weather (10) -1.1242658082956
test (41) -0.9459091062275
TEST76d8cfa095-pandas_testing_dataset (3) -3.3333333333333
test (49) -0.9459091062275
Diabetes(scikit-learn) (6) 0.095094474275169
TESTda410c34dc-pandas_testing_dataset (3) -3.3333333333333
TEST5f1dfbd75d-pandas_testing_dataset (3) -3.3333333333333
TEST5705382a07-UploadTestWithURL (1) -0.9459091062275
TESTccda34c750-pandas_testing_dataset (2) -6
TEST5f1dfbd75d-pandas_testing_dataset (2) -2.2666666666667
XOR (14) 4
XOR (11) -6
TEST5f1dfbd75d-pandas_testing_dataset (4) -2.2666666666667
anneal (83) 1.6372437439142
TEST2fb3e3c09b-XOR (1) -6
anneal (101) 1.6372437439142
anneal (92) 1.6372437439142
anneal (75) 1.6372437439142
XOR (8) 4
Weather (14) -1.1242658082956
TESTccda34c750-pandas_testing_dataset (3)
test (42) -0.9459091062275
test (30) -0.9459091062275
XOR (13) -6
anneal (103) 1.6372437439142
Weather (12) -1.1242658082956
anneal (90) 1.6372437439142
anneal (73) 1.6372437439142
anneal (88) 1.6372437439142
TESTe2a3b91028-ModifiedWeather (1) -1.1242658082956
TESTf7444a8ea4-pandas_testing_dataset (3)
TEST07c2b360c0-pandas_testing_dataset (3)
TEST7e318eb969-pandas_testing_dataset (2) -6
test (47) -0.9459091062275
test (50) -0.9459091062275
TESTda410c34dc-pandas_testing_dataset (1) -2.2666666666667
anneal (98) 1.6372437439142
test (37) -0.9459091062275
anneal (86) 1.6372437439142
anneal (105) 1.6372437439142
anneal (87) 1.6372437439142
anneal (99) 1.6372437439142
test (44) -0.9459091062275
TESTcf74ef9481-XOR (1) -6
XOR (12) 4
test (51) -0.9459091062275
anneal (91) 0.88530443901286
test (46) -0.9459091062275
test (45) -0.9459091062275
test (52) -0.9459091062275
anneal (44) 1.6372437439142
anneal (79) 1.6372437439142
anneal (28) 1.6372437439142
test (48) -0.9459091062275
TEST7e318eb969-pandas_testing_dataset (1) -1.2439751995134
TESTda410c34dc-pandas_testing_dataset (4) -2.2666666666667
TEST07c2b360c0-pandas_testing_dataset (2) -6
TESTdcaa77be46-XOR (1) -6
TEST8eecdebbd6-XOR (1) -6
anneal (102) 1.6372437439142
Diabetes(scikit-learn) (7) 0.095094474275169
anneal (97) 1.6372437439142
TEST2302efba1e-XOR (1) -6
anneal (72) 1.6372437439142
test (34) -0.9459091062275
TEST07c2b360c0-pandas_testing_dataset (1) -1.2439751995134
Weather (13) -1.1242658082956
TESTc09922bc0f-XOR (1) -6
test (25) -0.9459091062275
TEST76d8cfa095-pandas_testing_dataset (2) -2.2666666666667
TEST76d8cfa095-pandas_testing_dataset (4) -2.2666666666667
anneal (11) 1.6372437439142
anneal (106) 1.6372437439142
anneal (115) 1.6372437439142
XOR (18) 4
anneal (116) 0.88530443901286
anneal (113) 1.6372437439142
anneal (107) 1.6372437439142
anneal (82) 1.6372437439142
anneal (114) 1.6372437439142
Diabetes(scikit-learn) (9) 0.095094474275169
Diabetes(scikit-learn) (8) 0.095094474275169
Diabetes(scikit-learn) (10) 0.095094474275169
anneal (119) 1.6372437439142
anneal (118) 1.6372437439142
XOR (21) -6
Weather (17) -1.1242658082956
Weather (21) -1.1242658082956
XOR (23) -6
XOR (19) -6
XOR (17) -6
XOR (16) 4
XOR (24) 4
Diabetes(scikit-learn) (11) 0.095094474275169
anneal (108) 1.6372437439142
cloud (1) 2.9968951389178
anneal (141) 1.6372437439142
Weather (18) -1.1242658082956
anneal (147) 1.6372437439142
anneal (136) 1.6372437439142
anneal (135) 1.6372437439142
anneal (122) 1.6372437439142
XOR (22) 4
Weather (22) -1.1242658082956
anneal (112) 1.6372437439142
XOR (29) -6
anneal (128) 1.6372437439142
anneal (139) 1.6372437439142
XOR (27) -6
cholesterol (1) 0.25925589718151
fourclass_scale (1) -1.2335576477601
anneal (151) 1.6372437439142
anneal (132) 1.6372437439142
anneal (156) 1.6372437439142
anneal (134) 1.6372437439142
anneal (149) 1.6372437439142
Weather (16) -1.1242658082956
Weather (15) -1.1242658082956
Weather (27) -1.1242658082956
anneal (126) 1.6372437439142
anneal (167) 1.6372437439142
anneal (127) 1.6372437439142
anneal (131) 1.6372437439142
anneal (124) 1.6372437439142
Diabetes(scikit-learn) (15) 0.095094474275169
Diabetes(scikit-learn) (14) 0.095094474275169
anneal (143) 1.6372437439142
anneal (121) 1.6372437439142
anneal (146) 1.6372437439142
anneal (158) 1.6372437439142
anneal (120) 1.6372437439142
anneal (117) 1.6372437439142
Weather (24) -1.1242658082956
Diabetes(scikit-learn) (12) 0.095094474275169
XOR (31) -6
anneal (150) 1.6372437439142
XOR (32) 4
Weather (23) -1.1242658082956
anneal (160) 1.6372437439142
Diabetes(scikit-learn) (17) 0.095094474275169
anneal (155) 1.6372437439142
Weather (30) -1.1242658082956
anneal (110) 1.6372437439142
anneal (173) 1.6372437439142
Weather (20) -1.1242658082956
TEST569e152152-pandas_testing_dataset (2) -6
XOR (33) -6
Weather (26) -1.1242658082956
Weather (28) -1.1242658082956
XOR (15) -6
anneal (137) 1.6372437439142
Weather (19) -1.1242658082956
anneal (144) 1.6372437439142
XOR (25) -6
anneal (166) 1.6372437439142
XOR (30) 4
anneal (159) 1.6372437439142
anneal (161) 1.6372437439142
anneal (154) 1.6372437439142
anneal (125) 1.6372437439142
Weather (31) -1.1242658082956
Weather (34) -1.1242658082956
anneal (168) 1.6372437439142
anneal (172) 1.6372437439142
anneal (140) 1.6372437439142
anneal (129) 1.6372437439142
anneal (174) 1.6372437439142
XOR (20) 4
Weather (25) -1.1242658082956
Diabetes(scikit-learn) (16) 0.095094474275169
XOR (34) 4
XOR (28) 4
anneal (162) 1.6372437439142
anneal (109) 1.6372437439142
anneal (171) 1.6372437439142
anneal (164) 1.6372437439142
anneal (145) 1.6372437439142
anneal (123) 1.6372437439142
Weather (33) -1.1242658082956
Diabetes(scikit-learn) (13) 0.095094474275169
XOR (26) 4
anneal (152) 1.6372437439142
anneal (169) 1.6372437439142
anneal (142) 1.6372437439142
Weather (29) -1.1242658082956
Weather (32) -1.1242658082956
TEST63cd902071-pandas_testing_dataset (2) -2.2666666666667
anneal (175) 1.6372437439142
TESTe55d2d0c3d-pandas_testing_dataset (2) -6
anneal (177) 1.6372437439142
TESTe55d2d0c3d-pandas_testing_dataset (3)
anneal (178) 0.88530443901286
TEST9d96ec7ade-UploadTestWithURL (1) -0.9459091062275
anneal (180) 1.6372437439142
TESTcf61db30f6-pandas_testing_dataset (1) -1.2439751995134
anneal (181) 1.6372437439142
TEST63cd902071-pandas_testing_dataset (4) -2.2666666666667
TEST63cd902071-pandas_testing_dataset (3) -3.3333333333333
TESTada3067c77-XOR (1) -6
TESTf112d7f8be-XOR (1) -6
TEST9ecb165245-UploadTestWithURL (1) -0.9459091062275
anneal (179) 1.6372437439142
TESTaebada2a36-ModifiedWeather (1) -1.1242658082956
TESTe55d2d0c3d-pandas_testing_dataset (1) -1.2439751995134
TEST63cd902071-pandas_testing_dataset (1) -2.2666666666667
anneal (182) 1.6372437439142
anneal (183) 1.6372437439142
anneal (184) 1.6372437439142
anneal (185) 1.6372437439142
Weather (35) -1.1242658082956
anneal (190) 1.6372437439142
anneal (187) 1.6372437439142
anneal (192) 1.6372437439142
anneal (191) 1.6372437439142
Weather (36) -1.1242658082956
XOR (36) 4
wisconsin (1) 1.7051897276357
anneal (186) 1.6372437439142
anneal (189) 1.6372437439142
Diabetes(scikit-learn) (18) 0.095094474275169
XOR (35) -6
anneal (193) 0.88530443901286
ModifiedWeather (1) -1.1242658082956
XOR (37) -6
XOR (38) -6
UploadTestWithURL (1) -0.9459091062275
UploadTestWithURL (2) -0.9459091062275
anneal (195) 1.6372437439142
anneal (198) 1.6372437439142
anneal (194) 1.6372437439142
anneal (201) 1.6372437439142
Weather (38) -1.1242658082956
XOR (39) -6
Weather (37) -1.1242658082956
Diabetes(scikit-learn) (19) 0.095094474275169
anneal (199) 1.6372437439142
anneal (196) 1.6372437439142
anneal (200) 1.6372437439142
XOR (40) 4
anneal (176) 1.6372437439142
anneal (208) 1.6372437439142
anneal (202) 1.6372437439142
anneal (206) 1.6372437439142
Weather (39) -1.1242658082956
XOR (42) 4
anneal (203) 1.6372437439142
anneal (209) 1.6372437439142
anneal (207) 1.6372437439142
anneal (204) 1.6372437439142
Weather (40) -1.1242658082956
Diabetes(scikit-learn) (20) 0.095094474275169
XOR (41) -6
anneal (94) 1.6372437439142
anneal (213) 1.6372437439142
anneal (215) 1.6372437439142
Diabetes(scikit-learn) (21) 0.095094474275169
Weather (42) -1.1242658082956
Weather (41) -1.1242658082956
XOR (43) -6
anneal (211) 1.6372437439142
anneal (210) 1.6372437439142
anneal (214) 1.6372437439142
anneal (212) 1.6372437439142
anneal (218) 1.6372437439142
XOR (44) 4
anneal (222) 1.6372437439142
Weather (43) -1.1242658082956
anneal (220) 1.6372437439142
XOR (46) 4
anneal (224) 1.6372437439142
anneal (226) 1.6372437439142
anneal (219) 1.6372437439142
Diabetes(scikit-learn) (22) 0.095094474275169
XOR (45) -6
anneal (221) 1.6372437439142
anneal (225) 1.6372437439142
Weather (44) -1.1242658082956
fruitfly (1) -0.40102151579064
sleep (1) 1.1724566666875
anneal (234) 1.6372437439142
Diabetes(scikit-learn) (23) 0.095094474275169
anneal (244) 1.6372437439142
XOR (50) 4
anneal (228) 1.6372437439142
anneal (237) 1.6372437439142
anneal (242) 1.6372437439142
anneal (231) 1.6372437439142
Weather (47) -1.1242658082956
Weather (45) -1.1242658082956
TEST08f51af3c8-pandas_testing_dataset (1) -1.2439751995134
TESTa365aee568-UploadTestWithURL (1) -0.9459091062275
anneal (233) 1.6372437439142
anneal (240) 1.6372437439142
anneal (229) 1.6372437439142
TEST037907c164-pandas_testing_dataset (3)
TESTa540f38c2d-pandas_testing_dataset (1) -2.2666666666667
TESTfd496f5b4d-XOR (1) -6
TEST037907c164-pandas_testing_dataset (2) -6
XOR (47) -6
XOR (48) 4
TEST82462bce44-UploadTestWithURL (1) -0.9459091062275
XOR (49) -6
anneal (241) 1.6372437439142
anneal (227) 1.6372437439142
anneal (236) 1.6372437439142
TESTa540f38c2d-pandas_testing_dataset (4) -2.2666666666667
Weather (46) -1.1242658082956
Weather (48) -1.1242658082956
anneal (235) 0.88530443901286
TESTa540f38c2d-pandas_testing_dataset (2) -2.2666666666667
TESTa540f38c2d-pandas_testing_dataset (3) -3.3333333333333
anneal (238) 1.6372437439142
Diabetes(scikit-learn) (24) 0.095094474275169
GermanCreditModified (1) 0.59577956707667
GermanCreditModified (3) 0.59577956707667
GermanCreditModified (2) 0.59577956707667
TEST062fea70c5-XOR (1) -6
anneal (249) 1.6372437439142
Weather (50) -1.1242658082956
anneal (246) 1.6372437439142
anneal (251) 1.6372437439142
anneal (252) 1.6372437439142
anneal (247) 1.6372437439142
anneal (245) 1.6372437439142
XOR (51) -6
anneal (250) 1.6372437439142
Weather (49) -1.1242658082956
Diabetes(scikit-learn) (25) 0.095094474275169
XOR (52) 4
pharynx (1) 0.3259566003931
anneal (232) 1.6372437439142
bolts (1) -1.8237908961593
cpu_act (1) 22.197782628644
delta_elevators (1) 0.17043829690531
kin8nm (1) -1.1897586054941
diabetes_numeric (1) 0.52122517851192
satimage (1) -0.47984694064047
anneal (253) 1.6372437439142
anneal (255) 1.6372437439142
anneal (257) 1.6372437439142
anneal (260) 1.6372437439142
Weather (52) -1.1242658082956
Diabetes(scikit-learn) (26) 0.095094474275169
anneal (258) 1.6372437439142
XOR (54) 4
anneal (254) 1.6372437439142
anneal (259) 1.6372437439142
Weather (51) -1.1242658082956
XOR (53) -6
anneal (264) 1.6372437439142
Diabetes(scikit-learn) (27) 0.095094474275169
anneal (266) 1.6372437439142
Weather (53) -1.1242658082956
anneal (263) 1.6372437439142
Weather (54) -1.1242658082956
anneal (265) 1.6372437439142
anneal (262) 1.6372437439142
anneal (261) 1.6372437439142
anneal (269) 1.6372437439142
XOR (56) 4
XOR (55) -6
semeion (1) -1.4413202169411
anneal (271) 1.6372437439142
anneal (274) 1.6372437439142
anneal (278) 1.6372437439142
TESTa16e77a23a-pandas_testing_dataset (1) -2.2666666666667
anneal (275) 1.6372437439142
anneal (272) 1.6372437439142
anneal (276) 1.6372437439142
anneal (270) 1.6372437439142
Weather (55) -1.1242658082956
Weather (56) -1.1242658082956
Diabetes(scikit-learn) (28) 0.095094474275169
XOR (58) 4
XOR (57) -6
anneal (279) 0.88530443901286
TEST48d84f339b-UploadTestWithURL (1) -0.9459091062275
TEST119265b835-UploadTestWithURL (1) -0.9459091062275
pbc (1) 7.6240234498617
pol (1) 14.538954991146
anneal (296) 1.6372437439142
anneal (293) 1.6372437439142
anneal (288) 1.6372437439142
anneal (291) 1.6372437439142
anneal (292) 1.6372437439142
anneal (280) 1.6372437439142
anneal (287) 1.6372437439142
anneal (286) 1.6372437439142
Weather (57) -1.1242658082956
XOR (60) 4
XOR (59) -6
anneal (281) 1.6372437439142
anneal (285) 1.6372437439142
anneal (282) 1.6372437439142
anneal (283) 1.6372437439142
Weather (58) -1.1242658082956
Diabetes(scikit-learn) (29) 0.095094474275169
mbagrade (1) -0.08586754481596
cleveland (1) 0.25925589718151
auto_price (1) 0.63678331106588
waveform-5000 (1) -0.051227106165116
climate-model-simulation-crashes (1) -1.200038049018
anneal (304) 1.6372437439142
anneal (306) 1.6372437439142
anneal (295) 1.6372437439142
anneal (298) 1.6372437439142
XOR (61) -6
anneal (297) 1.6372437439142
anneal (305) 1.6372437439142
anneal (294) 1.6372437439142
anneal (290) 1.6372437439142
anneal (300) 1.6372437439142
anneal (289) 1.6372437439142
anneal (307) 1.6372437439142
Weather (60) -1.1242658082956
Weather (59) -1.1242658082956
Diabetes(scikit-learn) (30) 0.095094474275169
anneal (299) 1.6372437439142
XOR (62) 4
anneal (301) 1.6372437439142
anneal (302) 1.6372437439142
segment (1) 0.68874089231516
abalone (1) 0.084011749002214
MiceProtein (1) 0.89296290095015
detroit (1) -1.0028597627888
anneal (319) 1.6372437439142
anneal (316) 1.6372437439142
anneal (318) 1.6372437439142
anneal (321) 1.6372437439142
anneal (320) 1.6372437439142
anneal (317) 1.6372437439142
anneal (309) 1.6372437439142
anneal (314) 1.6372437439142
Weather (62) -1.1242658082956
XOR (63) -6
Diabetes(scikit-learn) (31) 0.095094474275169
XOR (64) 4
anneal (311) 1.6372437439142
anneal (312) 1.6372437439142
anneal (310) 1.6372437439142
anneal (308) 1.6372437439142
anneal (315) 1.6372437439142
Weather (61) -1.1242658082956
UNIX_user_data (1) 0.92889594453725
autoMpg (1) -0.51078126521232
lowbwt (1) 0.61620225161944
longley (1) -1.0720210580169
anneal (328) 1.6372437439142
anneal (324) 1.6372437439142
anneal (329) 1.6372437439142
anneal (326) 1.6372437439142
Weather (63) -1.1242658082956
Weather (64) -1.1242658082956
Diabetes(scikit-learn) (32) 0.095094474275169
anneal (323) 1.6372437439142
anneal (327) 1.6372437439142
anneal (322) 1.6372437439142
XOR (66) 4
XOR (65) -6
anneal (330) 1.6372437439142
anneal (1) 1.6372437439142
anneal (333) 1.6372437439142
anneal (332) 1.6372437439142
anneal (335) 1.6372437439142
anneal (334) 1.6372437439142
anneal (331) 1.6372437439142
kr-vs-kp (1)
mfeat-pixel (1)
mfeat-morphological (1) -0.63526353117907
mfeat-factors (1) -0.40269116562873
mushroom (1)
breast-w (1) 0.18462131150512
mfeat-karhunen (1) -0.017345885787891
letter (1) 0.88530443901286
mfeat-zernike (1) 0.44404639814
cmc (1) 0.2928560302339
mfeat-fourier (1) 0.063023013581137
isolet (1) -0.33016785936745
vowel (2) -0.42609939747852
scene (1) 2.3887996417153
monks-problems-1 (1)
monks-problems-2 (1)
monks-problems-3 (1)
sick (1) 8.8713038065758
soybean (1)
splice (1)
tic-tac-toe (1)
electricity (1) -0.086574009846798
eucalyptus (1) 0.42891150827214
credit-a (1) 15.348780875597
credit-g (1) 0.91978136005463
pendigits (1) -0.7839021550501
diabetes (1) 1.9668008946785
optdigits (1) 0.077216474327735
cnae-9 (1) 537.49257368658
eeg-eye-state (1) 9352.6952197631
first-order-theorem-proving (1) 15.286501444565
har (1) 0.58689774207944
ilpd (1) 11.35252876402
madelon (1) 0.096162209918816
Amazon_employee_access (1)
PhishingWebsites (1)
GesturePhaseSegmentationProcessed (1) 32.232736568632
cylinder-bands (2) 1.4649108518999
cjs (3) -0.17168516109705
LED-display-domain-7digit (1) -1.4799416454808
wall-robot-navigation (1) -0.077016716708862
steel-plates-fault (1) 0.18930051226113
tamilnadu-electricity (1) -1.2000704551248
wilt (1) 17.188504891515
adult (2) 4.5044536511541
Bioresponse (1) 43.170102100981
gina_agnostic (1) 0.79899326812237
ada_agnostic (1) 9.6144287640577
mozilla4 (1) -0.79744634740314
pc4 (1) 48.049942097674
pc3 (1) 144.27319456591
jm1 (1) 392.20492775981
JapaneseVowels (1) -0.22106090185247
irish (1) -0.44946676913398
analcatdata_authorship (1) 1.4141229803281
analcatdata_dmft (1)
profb (1) -0.12015247154469
collins (1) 0.76334243030028
sylva_agnostic (1) 36.959551656913
kc2 (1) 139.55039688512
kc1 (1) 22.422776708097
pc1 (1) 90.716511807538
musk (1) -0.51316545005529
Click_prediction_small (5) 2.3988623134278
artificial-characters (1) -0.2275809697695
bank-marketing (1) 18.153915269021
banknote-authentication (1) 0.030142115780319
blood-transfusion-service-center (1) 12.633750101131
cardiotocography (1) 3.009530512809
nomao (1) 9.3522040786981
ozone-level-8hr (1) 0.2058839276127
phoneme (1) -0.30664965186903
one-hundred-plants-margin (1) 3.2723448709374
one-hundred-plants-shape (1) 4.2772589596799
one-hundred-plants-texture (1) 11.29275789913
qsar-biodeg (1) 11.774168018978
micro-mass (2) 157.41042511968
vehicle (1) -0.44165451580509
texture (1) 0.030664066794594
Australian (3) 0.50696283527882
iris (1) -0.9459091062275
gas-drift (1) 10.323210247482
synthetic_control (1) -0.75182519588903
wdbc (1) 3.0225901460447
dresses-sales (2) -0.58208911872682
hill-valley (1) 9.4602937555022
car (1)
MagicTelescope (1) 2.6991261168547
balance-scale (1) -1.30079843925