Measure

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

Value per dataset

triazines (1)
anneal (8) 0.89086859688196
anneal (4) 0.89086859688196
anneal (2) 0.89086859688196
XOR (1)
Weather (1) 35.714285714286
web_questionsQA (1) 0.017211703958692
anneal (6) 0.89086859688196
anneal (7) 0.89086859688196
Weather (2) 35.714285714286
TEST381a3dd20c-NumPy_testing_dataset (1)
TEST9e3886e694-XOR (1)
iris (2) 33.333333333333
anneal (12) 0.89086859688196
anneal (14) 3.67
TESTc7ba0dcb5a-XOR (1)
TESTed4a84a4bb-pandas_testing_dataset (2)
test (6) 33.333333333333
TEST51ef687b9d-pandas_testing_dataset (2)
Diabetes(scikit-learn) (1)
anneal (13) 0.89086859688196
TESTb633b550cf-pandas_testing_dataset (1) 40
test (4) 33.333333333333
TEST51ef687b9d-pandas_testing_dataset (1)
TESTed4a84a4bb-pandas_testing_dataset (1) 40
test (3) 33.333333333333
test (1) 33.333333333333
test (2) 33.333333333333
TEST51ef687b9d-pandas_testing_dataset (4)
anneal (9) 45.879732739421
TESTaf99b42041-ModifiedWeather (1) 35.714285714286
XOR (2)
test (9) 33.333333333333
anneal (17) 0.89086859688196
test (7) 33.333333333333
TESTe216022baf-UploadTestWithURL (1)
iris-challenge (1) 20.666666666667
TEST8facacd8dc-UploadTestWithURL (1)
test (10) 33.333333333333
test (14) 33.333333333333
test (5) 33.333333333333
test (13) 33.333333333333
test (12) 33.333333333333
TEST51ef687b9d-pandas_testing_dataset (3)
TESTed4a84a4bb-pandas_testing_dataset (3) 20
anneal (3) 0.89086859688196
anneal (23) 0.89086859688196
TEST0ea351d931-pandas_testing_dataset (1)
anneal (24) 0.89086859688196
anneal (18) 0.89086859688196
test (11) 33.333333333333
test (8) 33.333333333333
anneal (26) 0.89086859688196
anneal (27) 0.89086859688196
anneal (39) 0.89086859688196
anneal (43) 0.89086859688196
anneal (63) 0.89086859688196
test (16) 33.333333333333
TEST840571e677-pandas_testing_dataset (1) 40
anneal (58) 0.89086859688196
Weather (6) 35.714285714286
anneal (62) 0.89086859688196
anneal (30) 0.89086859688196
test (24) 33.333333333333
test (20) 33.333333333333
anneal (66) 45.879732739421
anneal (34) 0.89086859688196
anneal (38) 0.89086859688196
anneal (41) 0.89086859688196
Weather (3) 35.714285714286
XOR (4)
Weather (4) 35.714285714286
Weather (8) 35.714285714286
test (19) 33.333333333333
test (21) 33.333333333333
Diabetes(scikit-learn) (3)
XOR (3)
anneal (48) 0.89086859688196
XOR (6)
test (27) 33.333333333333
XOR (5)
spambase (1) 39.404477287546
anneal (49) 0.89086859688196
test (33) 33.333333333333
anneal (32) 0.89086859688196
anneal (45) 0.89086859688196
anneal (16) 0.89086859688196
anneal (57) 0.89086859688196
Weather (5) 35.714285714286
test (26) 33.333333333333
XOR (7)
test (36) 33.333333333333
test (23) 33.333333333333
anneal (59) 0.89086859688196
test (28) 33.333333333333
anneal (42) 0.89086859688196
anneal (33) 0.89086859688196
test (15) 33.333333333333
anneal (37) 45.879732739421
anneal (53) 0.89086859688196
anneal (25) 0.89086859688196
anneal (56) 45.879732739421
test (39) 33.333333333333
TEST2fe1e97c97-pandas_testing_dataset (1)
test (35) 33.333333333333
test (29) 33.333333333333
test (31) 33.333333333333
anneal (52) 0.89086859688196
Diabetes(scikit-learn) (4)
anneal (54) 0.89086859688196
Weather (7) 35.714285714286
test (22) 33.333333333333
test (38) 33.333333333333
test (32) 33.333333333333
test (18) 33.333333333333
Diabetes(scikit-learn) (2)
TESTeab2945786-NumPy_testing_dataset (1)
vineyard (1)
anneal (31) 0.89086859688196
Weather (9) 35.714285714286
Diabetes(scikit-learn) (5)
TESTccda34c750-pandas_testing_dataset (1) 40
anneal (74) 0.89086859688196
Weather (11) 35.714285714286
anneal (61) 0.89086859688196
test (17) 33.333333333333
TEST22dd0ebd9b-ModifiedWeather (1) 35.714285714286
anneal (36) 0.89086859688196
test (43) 33.333333333333
XOR (9)
anneal (89) 0.89086859688196
TESTee7d03de92-pandas_testing_dataset (1) 40
anneal (77) 0.89086859688196
anneal (84) 0.89086859688196
TEST76d8cfa095-pandas_testing_dataset (1)
XOR (10)
TESTaf3b61833a-NumPy_testing_dataset (1)
TEST9aca640b6e-NumPy_testing_dataset (1)
autoPrice (1)
quake (1)
TEST5f1dfbd75d-pandas_testing_dataset (1)
anneal (95) 0.89086859688196
anneal (80) 0.89086859688196
test (40) 33.333333333333
TESTda410c34dc-pandas_testing_dataset (2)
TEST398fcda80b-ModifiedWeather (1) 35.714285714286
TEST7e318eb969-pandas_testing_dataset (3) 20
Weather (10) 35.714285714286
test (41) 33.333333333333
TEST76d8cfa095-pandas_testing_dataset (3)
test (49) 33.333333333333
Diabetes(scikit-learn) (6)
TESTda410c34dc-pandas_testing_dataset (3)
TEST5f1dfbd75d-pandas_testing_dataset (3)
TEST5705382a07-UploadTestWithURL (1)
TESTccda34c750-pandas_testing_dataset (2)
TEST5f1dfbd75d-pandas_testing_dataset (2)
XOR (14)
XOR (11)
TEST5f1dfbd75d-pandas_testing_dataset (4)
anneal (83) 0.89086859688196
TEST2fb3e3c09b-XOR (1)
anneal (101) 0.89086859688196
anneal (92) 0.89086859688196
anneal (75) 0.89086859688196
XOR (8)
Weather (14) 35.714285714286
TESTccda34c750-pandas_testing_dataset (3) 20
test (42) 33.333333333333
test (30) 33.333333333333
XOR (13)
anneal (103) 0.89086859688196
Weather (12) 35.714285714286
anneal (90) 0.89086859688196
anneal (73) 0.89086859688196
anneal (88) 45.879732739421
TESTe2a3b91028-ModifiedWeather (1) 35.714285714286
TESTf7444a8ea4-pandas_testing_dataset (3) 20
TEST07c2b360c0-pandas_testing_dataset (3) 20
TEST7e318eb969-pandas_testing_dataset (2)
test (47) 33.333333333333
test (50) 33.333333333333
TESTda410c34dc-pandas_testing_dataset (1)
anneal (98) 0.89086859688196
test (37) 33.333333333333
anneal (86) 45.879732739421
anneal (105) 45.879732739421
anneal (87) 0.89086859688196
anneal (99) 0.89086859688196
test (44) 33.333333333333
TESTcf74ef9481-XOR (1)
XOR (12)
test (51) 33.333333333333
anneal (91) 3.67
test (46) 33.333333333333
test (45) 33.333333333333
test (52) 33.333333333333
anneal (44) 0.89086859688196
anneal (79) 0.89086859688196
anneal (28) 0.89086859688196
test (48) 33.333333333333
TEST7e318eb969-pandas_testing_dataset (1) 40
TESTda410c34dc-pandas_testing_dataset (4)
TEST07c2b360c0-pandas_testing_dataset (2)
TESTdcaa77be46-XOR (1)
TEST8eecdebbd6-XOR (1)
anneal (102) 0.89086859688196
Diabetes(scikit-learn) (7)
anneal (97) 0.89086859688196
TEST2302efba1e-XOR (1)
anneal (72) 45.879732739421
test (34) 33.333333333333
TEST07c2b360c0-pandas_testing_dataset (1) 40
Weather (13) 35.714285714286
TESTc09922bc0f-XOR (1)
test (25) 33.333333333333
TEST76d8cfa095-pandas_testing_dataset (2)
TEST76d8cfa095-pandas_testing_dataset (4)
anneal (11) 0.89086859688196
anneal (106) 0.89086859688196
anneal (115) 45.879732739421
XOR (18)
anneal (116) 3.67
anneal (113) 0.89086859688196
anneal (107) 0.89086859688196
anneal (82) 0.89086859688196
anneal (114) 0.89086859688196
Diabetes(scikit-learn) (9)
Diabetes(scikit-learn) (8)
Diabetes(scikit-learn) (10)
anneal (119) 0.89086859688196
anneal (118) 0.89086859688196
XOR (21)
Weather (17) 35.714285714286
Weather (21) 35.714285714286
XOR (23)
XOR (19)
XOR (17)
XOR (16)
XOR (24)
Diabetes(scikit-learn) (11)
anneal (108) 0.89086859688196
cloud (1)
anneal (141) 0.89086859688196
Weather (18) 35.714285714286
anneal (147) 0.89086859688196
anneal (136) 0.89086859688196
anneal (135) 45.879732739421
anneal (122) 45.879732739421
XOR (22)
Weather (22) 35.714285714286
anneal (112) 0.89086859688196
XOR (29)
anneal (128) 0.89086859688196
anneal (139) 0.89086859688196
XOR (27)
fourclass_scale (1)
anneal (151) 0.89086859688196
anneal (132) 0.89086859688196
anneal (156) 0.89086859688196
anneal (134) 0.89086859688196
anneal (149) 0.89086859688196
Weather (16) 35.714285714286
Weather (15) 35.714285714286
Weather (27) 35.714285714286
anneal (126) 0.89086859688196
anneal (167) 0.89086859688196
anneal (127) 0.89086859688196
anneal (131) 0.89086859688196
anneal (124) 45.879732739421
Diabetes(scikit-learn) (15)
Diabetes(scikit-learn) (14)
anneal (143) 0.89086859688196
anneal (121) 0.89086859688196
anneal (146) 0.89086859688196
anneal (158) 0.89086859688196
anneal (120) 0.89086859688196
anneal (117) 45.879732739421
Weather (24) 35.714285714286
Diabetes(scikit-learn) (12)
XOR (31)
anneal (150) 0.89086859688196
XOR (32)
Weather (23) 35.714285714286
anneal (160) 0.89086859688196
Diabetes(scikit-learn) (17)
anneal (155) 0.89086859688196
Weather (30) 35.714285714286
anneal (110) 0.89086859688196
anneal (173) 45.879732739421
Weather (20) 35.714285714286
TEST569e152152-pandas_testing_dataset (2)
XOR (33)
Weather (26) 35.714285714286
Weather (28) 35.714285714286
XOR (15)
anneal (137) 45.879732739421
Weather (19) 35.714285714286
anneal (144) 0.89086859688196
XOR (25)
anneal (166) 45.879732739421
XOR (30)
anneal (159) 0.89086859688196
anneal (161) 0.89086859688196
anneal (154) 0.89086859688196
anneal (125) 0.89086859688196
Weather (31) 35.714285714286
Weather (34) 35.714285714286
anneal (168) 0.89086859688196
anneal (172) 0.89086859688196
anneal (140) 0.89086859688196
anneal (129) 0.89086859688196
anneal (174) 0.89086859688196
XOR (20)
Weather (25) 35.714285714286
Diabetes(scikit-learn) (16)
XOR (34)
XOR (28)
anneal (162) 0.89086859688196
anneal (109) 0.89086859688196
anneal (171) 0.89086859688196
anneal (164) 0.89086859688196
anneal (145) 0.89086859688196
anneal (123) 45.879732739421
Weather (33) 35.714285714286
Diabetes(scikit-learn) (13)
XOR (26)
anneal (152) 0.89086859688196
anneal (169) 0.89086859688196
anneal (142) 45.879732739421
Weather (29) 35.714285714286
Weather (32) 35.714285714286
TESTd643aafd62-NumPy_testing_dataset (1)
TEST63cd902071-pandas_testing_dataset (2)
anneal (175) 0.89086859688196
TESTe55d2d0c3d-pandas_testing_dataset (2)
anneal (177) 0.89086859688196
TESTe55d2d0c3d-pandas_testing_dataset (3) 20
anneal (178) 3.67
TEST9d96ec7ade-UploadTestWithURL (1)
anneal (180) 0.89086859688196
TESTcf61db30f6-pandas_testing_dataset (1) 40
anneal (181) 0.89086859688196
TEST63cd902071-pandas_testing_dataset (4)
TEST63cd902071-pandas_testing_dataset (3)
TESTada3067c77-XOR (1)
TESTf112d7f8be-XOR (1)
TEST9ecb165245-UploadTestWithURL (1)
anneal (179) 0.89086859688196
TESTaebada2a36-ModifiedWeather (1) 35.714285714286
TESTe55d2d0c3d-pandas_testing_dataset (1) 40
TEST63cd902071-pandas_testing_dataset (1)
anneal (182) 0.89086859688196
anneal (183) 0.89086859688196
anneal (184) 0.89086859688196
anneal (185) 0.89086859688196
Weather (35) 35.714285714286
anneal (190) 0.89086859688196
anneal (187) 0.89086859688196
anneal (192) 0.89086859688196
anneal (191) 45.879732739421
Weather (36) 35.714285714286
XOR (36)
wisconsin (1)
anneal (186) 0.89086859688196
anneal (189) 0.89086859688196
Diabetes(scikit-learn) (18)
XOR (35)
NumPy_testing_dataset (1)
anneal (193) 3.67
ModifiedWeather (1) 35.714285714286
XOR (37)
XOR (38)
UploadTestWithURL (1)
UploadTestWithURL (2)
anneal (195) 0.89086859688196
anneal (198) 0.89086859688196
anneal (194) 0.89086859688196
anneal (201) 0.89086859688196
Weather (38) 35.714285714286
XOR (39)
Weather (37) 35.714285714286
Diabetes(scikit-learn) (19)
anneal (199) 0.89086859688196
anneal (196) 0.89086859688196
anneal (200) 45.879732739421
XOR (40)
anneal (176) 0.89086859688196
anneal (208) 0.89086859688196
anneal (202) 0.89086859688196
anneal (206) 45.879732739421
Weather (39) 35.714285714286
XOR (42)
anneal (203) 0.89086859688196
anneal (209) 0.89086859688196
anneal (207) 0.89086859688196
anneal (204) 0.89086859688196
Weather (40) 35.714285714286
Diabetes(scikit-learn) (20)
XOR (41)
anneal (94) 0.89086859688196
anneal (213) 0.89086859688196
anneal (215) 0.89086859688196
Diabetes(scikit-learn) (21)
Weather (42) 35.714285714286
Weather (41) 35.714285714286
XOR (43)
anneal (211) 0.89086859688196
anneal (210) 0.89086859688196
anneal (214) 0.89086859688196
anneal (212) 0.89086859688196
anneal (218) 45.879732739421
XOR (44)
anneal (222) 0.89086859688196
Weather (43) 35.714285714286
anneal (220) 0.89086859688196
XOR (46)
anneal (224) 0.89086859688196
anneal (226) 0.89086859688196
anneal (219) 0.89086859688196
Diabetes(scikit-learn) (22)
XOR (45)
anneal (221) 0.89086859688196
anneal (225) 45.879732739421
Weather (44) 35.714285714286
fruitfly (1)
sleep (1)
anneal (234) 0.89086859688196
Diabetes(scikit-learn) (23)
anneal (244) 45.879732739421
XOR (50)
anneal (228) 0.89086859688196
anneal (237) 0.89086859688196
anneal (242) 0.89086859688196
anneal (231) 45.879732739421
Weather (47) 35.714285714286
Weather (45) 35.714285714286
TEST08f51af3c8-pandas_testing_dataset (1) 40
TESTa365aee568-UploadTestWithURL (1)
anneal (233) 0.89086859688196
anneal (240) 0.89086859688196
anneal (229) 0.89086859688196
TEST037907c164-pandas_testing_dataset (3) 20
TESTa540f38c2d-pandas_testing_dataset (1)
TESTfd496f5b4d-XOR (1)
TEST037907c164-pandas_testing_dataset (2)
XOR (47)
XOR (48)
TEST82462bce44-UploadTestWithURL (1)
XOR (49)
anneal (241) 0.89086859688196
anneal (227) 0.89086859688196
anneal (236) 0.89086859688196
TESTa540f38c2d-pandas_testing_dataset (4)
Weather (46) 35.714285714286
Weather (48) 35.714285714286
anneal (235) 3.67
TESTa540f38c2d-pandas_testing_dataset (2)
TESTa540f38c2d-pandas_testing_dataset (3)
anneal (238) 0.89086859688196
Diabetes(scikit-learn) (24)
GermanCreditModified (1)
GermanCreditModified (3)
GermanCreditModified (2)
TEST062fea70c5-XOR (1)
anneal (249) 0.89086859688196
Weather (50) 35.714285714286
anneal (246) 0.89086859688196
anneal (251) 0.89086859688196
anneal (252) 0.89086859688196
anneal (247) 0.89086859688196
anneal (245) 0.89086859688196
XOR (51)
anneal (250) 45.879732739421
Weather (49) 35.714285714286
Diabetes(scikit-learn) (25)
XOR (52)
pharynx (1)
anneal (232) 0.89086859688196
bolts (1)
cpu_act (1)
delta_elevators (1)
kin8nm (1)
diabetes_numeric (1)
satimage (1) 9.7200622083981
anneal (253) 0.89086859688196
anneal (255) 0.89086859688196
anneal (257) 0.89086859688196
anneal (260) 45.879732739421
Weather (52) 35.714285714286
Diabetes(scikit-learn) (26)
anneal (258) 0.89086859688196
XOR (54)
anneal (254) 0.89086859688196
anneal (259) 0.89086859688196
Weather (51) 35.714285714286
XOR (53)
anneal (264) 0.89086859688196
Diabetes(scikit-learn) (27)
anneal (266) 0.89086859688196
Weather (53) 35.714285714286
anneal (263) 0.89086859688196
Weather (54) 35.714285714286
anneal (265) 0.89086859688196
anneal (262) 0.89086859688196
anneal (261) 0.89086859688196
anneal (269) 45.879732739421
XOR (56)
XOR (55)
semeion (1) 9.7300690521029
anneal (271) 0.89086859688196
anneal (274) 0.89086859688196
anneal (278) 45.879732739421
TESTa16e77a23a-pandas_testing_dataset (1)
anneal (275) 0.89086859688196
anneal (272) 0.89086859688196
anneal (276) 0.89086859688196
anneal (270) 0.89086859688196
Weather (55) 35.714285714286
Weather (56) 35.714285714286
Diabetes(scikit-learn) (28)
XOR (58)
XOR (57)
anneal (279) 3.67
TEST48d84f339b-UploadTestWithURL (1)
TEST119265b835-UploadTestWithURL (1)
pbc (1)
pol (1)
anneal (296) 0.89086859688196
anneal (293) 0.89086859688196
anneal (288) 0.89086859688196
anneal (291) 0.89086859688196
anneal (292) 0.89086859688196
anneal (280) 0.89086859688196
anneal (287) 0.89086859688196
anneal (286) 45.879732739421
Weather (57) 35.714285714286
XOR (60)
XOR (59)
anneal (281) 0.89086859688196
anneal (285) 0.89086859688196
anneal (282) 0.89086859688196
anneal (283) 0.89086859688196
Weather (58) 35.714285714286
Diabetes(scikit-learn) (29)
mbagrade (1)
cleveland (1)
auto_price (1)
waveform-5000 (1) 33.06
climate-model-simulation-crashes (1) 8.5185185185185
anneal (304) 0.89086859688196
anneal (306) 0.89086859688196
anneal (295) 0.89086859688196
anneal (298) 0.89086859688196
XOR (61)
anneal (297) 0.89086859688196
anneal (305) 0.89086859688196
anneal (294) 0.89086859688196
anneal (290) 0.89086859688196
anneal (300) 0.89086859688196
anneal (289) 0.89086859688196
anneal (307) 45.879732739421
Weather (60) 35.714285714286
Weather (59) 35.714285714286
Diabetes(scikit-learn) (30)
anneal (299) 0.89086859688196
XOR (62)
anneal (301) 0.89086859688196
anneal (302) 0.89086859688196
segment (1) 14.285714285714
abalone (1) 0.023940627244434
MiceProtein (1) 9.7222222222222
detroit (1)
anneal (319) 0.89086859688196
anneal (316) 0.89086859688196
anneal (318) 0.89086859688196
anneal (321) 0.89086859688196
anneal (320) 0.89086859688196
anneal (317) 0.89086859688196
anneal (309) 0.89086859688196
anneal (314) 45.879732739421
Weather (62) 35.714285714286
XOR (63)
Diabetes(scikit-learn) (31)
XOR (64)
anneal (311) 0.89086859688196
anneal (312) 0.89086859688196
anneal (310) 0.89086859688196
anneal (308) 0.89086859688196
anneal (315) 0.89086859688196
Weather (61) 35.714285714286
UNIX_user_data (1) 5.3186813186813
lowbwt (1)
anneal (328) 0.89086859688196
anneal (324) 0.89086859688196
anneal (329) 0.89086859688196
anneal (326) 45.879732739421
Weather (63) 35.714285714286
Weather (64) 35.714285714286
Diabetes(scikit-learn) (32)
anneal (323) 0.89086859688196
anneal (327) 0.89086859688196
anneal (322) 0.89086859688196
XOR (66)
XOR (65)
anneal (330) 0.89086859688196
anneal (333) 0.89086859688196
anneal (332) 0.89086859688196
anneal (335) 0.89086859688196
anneal (334) 0.89086859688196
anneal (331) 0.89086859688196
kr-vs-kp (1) 47.778473091364
mfeat-pixel (1) 10
mfeat-morphological (1) 10
mfeat-factors (1) 10
mfeat-karhunen (1) 10
letter (1) 3.67
mfeat-zernike (1) 10
cmc (1) 22.606924643585
isolet (1) 3.8219828139028
vowel (2) 9.0909090909091
scene (1) 17.90610718737
monks-problems-1 (1) 50
monks-problems-2 (1) 34.276206322795
monks-problems-3 (1) 48.014440433213
sick (1) 6.1240721102863
soybean (1) 1.1713030746706
splice (1) 24.043887147335
tic-tac-toe (1) 34.655532359081
eucalyptus (1) 14.266304347826
credit-g (1) 30
pendigits (1) 9.5978893740902
optdigits (1) 9.8576512455516
first-order-theorem-proving (1) 7.9437724746649
har (1) 13.651810855423
ilpd (1) 28.644939965695
madelon (1) 50
Amazon_employee_access (1) 5.7890079038115
PhishingWebsites (1) 44.305744007237
GesturePhaseSegmentationProcessed (1) 10.108376380026
cylinder-bands (2) 42.222222222222
cjs (3) 9.7997138769671
LED-display-domain-7digit (1) 7.4
wall-robot-navigation (1) 6.0117302052786
tamilnadu-electricity (1) 3.051484240187
adult (2) 23.928176569346
Bioresponse (1) 45.774460143962
gina_agnostic (1) 49.163783160323
ada_agnostic (1) 24.813678211311
mozilla4 (1) 32.859440334513
pc4 (1) 12.208504801097
pc3 (1) 10.236724248241
JapaneseVowels (1) 7.8506174078908
irish (1) 44.4
analcatdata_authorship (1) 6.5398335315101
analcatdata_dmft (1) 15.43287327478
pc1 (1) 6.9431920649234
Click_prediction_small (5) 16.841894462802
bank-marketing (1) 11.698480458296
banknote-authentication (1) 44.460641399417
blood-transfusion-service-center (1) 23.79679144385
cardiotocography (1) 2.4929444967074
nomao (1) 28.562309589439
ozone-level-8hr (1) 6.3141278610892
phoneme (1) 29.348630643967
one-hundred-plants-margin (1) 1
one-hundred-plants-texture (1) 0.93808630393996
qsar-biodeg (1) 33.744075829384
micro-mass (2) 1.9264448336252
vehicle (1) 23.522458628842
texture (1) 9.0909090909091
Australian (3) 44.492753623188
synthetic_control (1) 16.666666666667
wdbc (1) 37.25834797891
dresses-sales (2) 42
hill-valley (1) 50
car (1) 3.7615740740741
MagicTelescope (1) 35.162986330179
balance-scale (1) 7.84
anneal (336) 0.89086859688196
anneal (338) 0.89086859688196
anneal (337) 0.89086859688196
mushroom (1) 48.202855736091
profb (1) 33.333333333333
sylva_agnostic (1) 6.1549149010073
kc1 (1) 15.457562825984
musk (1) 15.413761745984
artificial-characters (1) 5.871990604815
cnae-9 (1) 11.111111111111
one-hundred-plants-shape (1) 1
steel-plates-fault (1) 34.672849046883
cholesterol (1)
mfeat-fourier (1) 10
credit-a (1) 44.492753623188
wilt (1) 5.3936763794172
electricity (1) 42.454537429379
gas-drift (1) 11.797268152408
breast-w (1) 34.47782546495
autoMpg (1)
jm1 (1) 19.347726228755
diabetes (1) 34.895833333333
eeg-eye-state (1) 44.879839786382
collins (1) 1.2
kc2 (1) 20.498084291188
anneal (344) 0.89086859688196
anneal (339) 0.89086859688196
anneal (342) 0.89086859688196
anneal (343) 45.879732739421
Weather (66) 35.714285714286
anneal (1) 0.89086859688196
XOR (68)
XOR (67)
longley (1)
iris (1) 33.333333333333
anneal (341) 0.89086859688196
anneal (340) 0.89086859688196
Weather (65) 35.714285714286
anneal (346) 0.89086859688196
Diabetes(scikit-learn) (33)