Measure

NaiveBayesErrRate

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Value per dataset

anneal (3) 0.24610244988864
anneal (4) 0.24610244988864
iris-challenge (1) 0.067226890756303
anneal (6) 0.24610244988864
iris (2) 0.033333333333333
anneal (7) 0.24610244988864
web_questionsQA (1)
anneal (5) 0.24610244988864
anneal (2) 0.24610244988864
anneal (17) 0.24610244988864
anneal (16) 0.24610244988864
anneal (8) 0.24610244988864
anneal (9) 0.24610244988864
anneal (10) 0.24610244988864
anneal (12) 0.24610244988864
anneal (11) 0.24610244988864
anneal (13) 0.24610244988864
TEST0f75339a9c-XOR (1)
anneal (18) 0.24610244988864
anneal (14) 0.24610244988864
anneal (21) 0.24610244988864
anneal (20) 0.24610244988864
anneal (23) 0.24610244988864
TEST93718efcb7-XOR (1)
TEST491e2d1fcf-ModifiedWeather (1)
TEST8a3eef08ba-pandas_testing_dataset (3) 1
TEST8a3eef08ba-pandas_testing_dataset (2)
TEST95354eb682-XOR (1)
TESTde76aea5ac-pandas_testing_dataset (3) 1
TESTf996380d59-pandas_testing_dataset (4)
TESTc12a586b90-pandas_testing_dataset (1)
TEST8a3eef08ba-pandas_testing_dataset (1)
TESTef4d31c89e-ModifiedWeather (1)
TESTf996380d59-pandas_testing_dataset (2)
TEST68ee912c72-XOR (1)
TESTde76aea5ac-pandas_testing_dataset (2)
TESTf996380d59-pandas_testing_dataset (1)
anneal (25) 0.24610244988864
TESTc12a586b90-pandas_testing_dataset (3)
TESTc12a586b90-pandas_testing_dataset (2)
TESTb07cf9b053-XOR (1)
anneal (32) 0.24610244988864
anneal (28) 0.051224944320713
anneal (22) 0.24610244988864
anneal (35) 0.24610244988864
anneal (27) 0.24610244988864
anneal (30) 0.24610244988864
anneal (26) 0.24610244988864
Diabetes(scikit-learn) (1)
anneal (29) 0.24610244988864
anneal (31) 0.24610244988864
anneal (37) 0.051224944320713
Weather (1) 0.57142857142857
TESTf996380d59-pandas_testing_dataset (3)
XOR (2)
TESTc12a586b90-pandas_testing_dataset (4)
soybean (1) 0.089311859443631
XOR (1)
anneal (33) 0.24610244988864
Weather (2) 0.42857142857143
anneal (24) 0.24610244988864
anneal (41) 0.24610244988864
mfeat-karhunen (1) 0.068
anneal (38) 0.24610244988864
anneal (50) 0.24610244988864
TESTfeb0eb848e-pandas_testing_dataset (3) 1
anneal (40) 0.24610244988864
TESTa675afdd91-pandas_testing_dataset (3) 1
anneal (49) 0.24610244988864
anneal (46) 0.051224944320713
anneal (53) 0.24610244988864
anneal (47) 0.24610244988864
Weather (3) 0.57142857142857
XOR (3)
XOR (4)
anneal (42) 0.24610244988864
anneal (48) 0.24610244988864
anneal (51) 0.24610244988864
anneal (55) 0.051224944320713
XOR (6)
Weather (4) 0.42857142857143
Weather (6) 0.42857142857143
Weather (5) 0.57142857142857
TESTe4a276b0cf-pandas_testing_dataset (3)
anneal (68) 0.24610244988864
Diabetes(scikit-learn) (2)
TEST08cae6fca0-XOR (1)
XOR (5)
TESTb327ca7de9-XOR (1)
TESTe551bfc9c4-XOR (1)
anneal (57) 0.24610244988864
TEST9b725c857e-pandas_testing_dataset (2)
anneal (58) 0.24610244988864
TESTd5d5774b51-XOR (1)
anneal (69) 0.24610244988864
TESTde76aea5ac-pandas_testing_dataset (1)
TEST5f593a2b6b-pandas_testing_dataset (1)
TESTb075985133-pandas_testing_dataset (1)
TEST9a3df79c6a-pandas_testing_dataset (1)
TESTb1b7df6256-XOR (1)
TEST9b725c857e-pandas_testing_dataset (1)
anneal (73) 0.36025
TEST3af90fc5e8-pandas_testing_dataset (1)
TEST930682397f-pandas_testing_dataset (4)
TESTec5422582f-XOR (1)
TESTbfaff51e7c-XOR (1)
TESTc8d3dcd16c-ModifiedWeather (1)
vineyard (1)
anneal (56) 0.24610244988864
TEST8451297d53-UploadTestWithURL (1)
TEST9b725c857e-pandas_testing_dataset (3) 1
Diabetes(scikit-learn) (3)
TEST541c23ce86-UploadTestWithURL (1)
TEST9bde17c085-pandas_testing_dataset (2)
anneal (60) 0.24610244988864
anneal (70) 0.24610244988864
TESTb7b2b01540-XOR (1)
anneal (61) 0.24610244988864
anneal (64) 0.24610244988864
anneal (71) 0.36025
TEST3312f9ab08-XOR (1)
TEST9a3df79c6a-pandas_testing_dataset (3) 1
TEST930682397f-pandas_testing_dataset (2)
TEST9a3df79c6a-pandas_testing_dataset (2)
TEST03c86d3a28-ModifiedWeather (1)
anneal (72) 0.24610244988864
TEST4e3eedc7d2-pandas_testing_dataset (2)
TEST324d7cf258-ModifiedWeather (1)
TEST35417de77f-XOR (1)
TEST3af90fc5e8-pandas_testing_dataset (4)
TESTb075985133-pandas_testing_dataset (2)
TESTa759ae6cbf-pandas_testing_dataset (2)
TESTa759ae6cbf-pandas_testing_dataset (4)
TEST3fc0c0bd1b-XOR (1)
credit-g (1) 0.248
TEST43ba10d105-pandas_testing_dataset (4)
TEST930682397f-pandas_testing_dataset (3)
anneal (65) 0.051224944320713
TESTa759ae6cbf-pandas_testing_dataset (1)
TEST9bde17c085-pandas_testing_dataset (1)
TEST0c357fa5de-XOR (1)
TEST6ca67e6faa-ModifiedWeather (1)
anneal (79) 0.24610244988864
TESTe4a276b0cf-pandas_testing_dataset (4)
TEST48f3ec321a-pandas_testing_dataset (1)
TESTb075985133-pandas_testing_dataset (3)
TEST9bde17c085-pandas_testing_dataset (3) 1
XOR (7)
TEST930682397f-pandas_testing_dataset (1)
TEST4e3eedc7d2-pandas_testing_dataset (1)
TEST3af90fc5e8-pandas_testing_dataset (3)
TEST5861a96af9-UploadTestWithURL (1)
anneal (39) 0.24610244988864
Weather (7) 0.57142857142857
anneal (43) 0.24610244988864
anneal (63) 0.24610244988864
TEST4e3eedc7d2-pandas_testing_dataset (3) 1
anneal (62) 0.24610244988864
anneal (76) 0.24610244988864
anneal (81) 0.24610244988864
anneal (74) 0.051224944320713
TESTa759ae6cbf-pandas_testing_dataset (3)
TEST67f486525d-XOR (1)
anneal (78) 0.24610244988864
TESTb075985133-pandas_testing_dataset (4)
anneal (82) 0.051224944320713
Weather (8) 0.42857142857143
anneal (75) 0.24610244988864
anneal (77) 0.24610244988864
anneal (83) 0.24610244988864
Diabetes(scikit-learn) (4)
TEST3af90fc5e8-pandas_testing_dataset (2)
XOR (8)
TEST3556189ac9-UploadTestWithURL (1)
anneal (66) 0.24610244988864
anneal (86) 0.24610244988864
anneal (90) 0.24610244988864
anneal (85) 0.24610244988864
Weather (10) 0.42857142857143
Diabetes(scikit-learn) (5)
XOR (9)
anneal (84) 0.24610244988864
TESTaae5145e5a-pandas_testing_dataset (1)
anneal (95) 0.24610244988864
Weather (9) 0.57142857142857
TEST659b6910a4-ModifiedWeather (1)
anneal (100) 0.051224944320713
anneal (97) 0.24610244988864
anneal (92) 0.051224944320713
Weather (12) 0.42857142857143
TESTaae5145e5a-pandas_testing_dataset (2)
TEST4f5a60c6fe-XOR (1)
XOR (11)
Weather (11) 0.57142857142857
TESTaae5145e5a-pandas_testing_dataset (4)
XOR (10)
mfeat-pixel (1) 0.07
anneal (103) 0.24610244988864
Diabetes(scikit-learn) (6)
anneal (89) 0.24610244988864
TESTd595e0f71b-pandas_testing_dataset (3) 1
anneal (101) 0.24610244988864
anneal (104) 0.24610244988864
anneal (107) 0.051224944320713
TEST41e4ee3472-pandas_testing_dataset (4)
TEST41e4ee3472-pandas_testing_dataset (3)
hill-valley (1) 0.48597359735974
TEST0cc3a4aabf-pandas_testing_dataset (1)
TEST7385da85d0-XOR (1)
TEST107d885b90-pandas_testing_dataset (3) 1
TESTd595e0f71b-pandas_testing_dataset (2)
anneal (112) 0.24610244988864
TESTe5ab921db9-pandas_testing_dataset (3) 1
anneal (93) 0.24610244988864
TESTa70326ee04-pandas_testing_dataset (3)
anneal (115) 0.24610244988864
TEST5087cf3992-pandas_testing_dataset (3)
TESTde22fbf900-ModifiedWeather (1)
TEST300949fc4c-XOR (1)
TESTe5ab921db9-pandas_testing_dataset (2)
TESTd43f0f6683-pandas_testing_dataset (3)
TESTd43f0f6683-pandas_testing_dataset (1)
anneal (110) 0.24610244988864
anneal (124) 0.24610244988864
TESTe7d3072a9e-pandas_testing_dataset (3) 1
TESTba904bcd9a-ModifiedWeather (1)
TEST31791bfdd8-pandas_testing_dataset (1)
TEST5c956d87a7-XOR (1)
TESTd595e0f71b-pandas_testing_dataset (1)
TESTd43f0f6683-pandas_testing_dataset (2)
TEST5087cf3992-pandas_testing_dataset (1)
anneal (113) 0.24610244988864
TESTa70326ee04-pandas_testing_dataset (4)
anneal (99) 0.24610244988864
anneal (88) 0.24610244988864
TEST06657cce0d-ModifiedWeather (1)
TESTe7d3072a9e-pandas_testing_dataset (2)
TEST9c5326e45b-UploadTestWithURL (1)
anneal (122) 0.24610244988864
TEST393d571ed9-XOR (1)
anneal (119) 0.24610244988864
anneal (117) 0.36025
TESTba19613b26-ModifiedWeather (1)
TESTd43f0f6683-pandas_testing_dataset (4)
TEST107d885b90-pandas_testing_dataset (1)
TESTe7d3072a9e-pandas_testing_dataset (1)
TEST5087cf3992-pandas_testing_dataset (4)
XOR (13)
TESTf267503cca-XOR (1)
XOR (15)
anneal (111) 0.24610244988864
Diabetes(scikit-learn) (8)
anneal (125) 0.051224944320713
TESTa70326ee04-pandas_testing_dataset (2)
anneal (114) 0.24610244988864
TEST534813403d-XOR (1)
Weather (16) 0.42857142857143
TEST104cefcf93-XOR (1)
TESTd2ce00f39d-UploadTestWithURL (1)
TEST44ce59e507-UploadTestWithURL (1)
TEST41e4ee3472-pandas_testing_dataset (1)
Weather (15) 0.57142857142857
TEST107d885b90-pandas_testing_dataset (2)
anneal (134) 0.24610244988864
TEST69f067a100-pandas_testing_dataset (3) 1
TEST6be6740770-XOR (1)
TEST13f574f33c-ModifiedWeather (1)
TEST8082298a9f-pandas_testing_dataset (2)
anneal (127) 0.24610244988864
anneal (128) 0.24610244988864
TEST8b50f94dd0-pandas_testing_dataset (1)
TEST35c4267650-XOR (1)
TESTe5ab921db9-pandas_testing_dataset (1)
TEST0b00a7fd2f-XOR (1)
TEST0380554bf7-pandas_testing_dataset (2)
TEST8b50f94dd0-pandas_testing_dataset (2)
Diabetes(scikit-learn) (10)
TEST68e83a7f94-pandas_testing_dataset (3) 1
TESTf835401612-pandas_testing_dataset (3) 1
TESTaeab31689e-UploadTestWithURL (1)
anneal (108) 0.24610244988864
TEST6f4f5ea7ed-ModifiedWeather (1)
anneal (141) 0.24610244988864
TESTf8293d7a08-pandas_testing_dataset (2)
anneal (131) 0.24610244988864
anneal (121) 0.24610244988864
anneal (129) 0.24610244988864
anneal (133) 0.051224944320713
XOR (12)
TESTb9afa86415-pandas_testing_dataset (3)
TEST8082298a9f-pandas_testing_dataset (1)
anneal (142) 0.24610244988864
TEST5087cf3992-pandas_testing_dataset (2)
anneal (143) 0.24610244988864
Weather (19) 0.57142857142857
TESTed97a7a3c7-ModifiedWeather (1)
XOR (17)
TESTc04561a900-XOR (1)
one-hundred-plants-shape (1) 0.48125
TEST41e4ee3472-pandas_testing_dataset (2)
TESTf835401612-pandas_testing_dataset (2)
TEST65d4158d00-pandas_testing_dataset (1)
Bioresponse (1) 0.34150893095175
TEST69f067a100-pandas_testing_dataset (1)
TEST0d33c33299-XOR (1)
anneal (146) 0.24610244988864
anneal (145) 0.24610244988864
cjs (3) 0.24785407725322
anneal (105) 0.24610244988864
TESTa7f4a278b1-pandas_testing_dataset (1)
XOR (19)
TEST65d4158d00-pandas_testing_dataset (3)
anneal (138) 0.24610244988864
anneal (151) 0.24610244988864
Diabetes(scikit-learn) (11)
TESTb9afa86415-pandas_testing_dataset (1)
TEST69f067a100-pandas_testing_dataset (2)
TEST65d4158d00-pandas_testing_dataset (2)
TESTe31c18ad94-XOR (1)
TEST8082298a9f-pandas_testing_dataset (3)
TESTa7f4a278b1-pandas_testing_dataset (4)
TESTa7f4a278b1-pandas_testing_dataset (2)
TEST0380554bf7-pandas_testing_dataset (1)
TEST7a1e9bfee8-UploadTestWithURL (1)
XOR (21)
anneal (120) 0.24610244988864
anneal (130) 0.24610244988864
TEST5f324b2a59-pandas_testing_dataset (3) 1
TESTa70326ee04-pandas_testing_dataset (1)
XOR (14)
TEST0032b11fc5-XOR (1)
anneal (140) 0.24610244988864
anneal (102) 0.24610244988864
anneal (136) 0.24610244988864
anneal (139) 0.051224944320713
TEST0817090897-pandas_testing_dataset (3) 1
TEST8082298a9f-pandas_testing_dataset (4)
TESTad4e03ac11-XOR (1)
TEST0817090897-pandas_testing_dataset (2)
TEST2abc4a67a5-XOR (1)
anneal (149) 0.24610244988864
TEST11a33fb394-ModifiedWeather (1)
Weather (23) 0.57142857142857
anneal (159) 0.24610244988864
anneal (157) 0.24610244988864
anneal (126) 0.24610244988864
TEST0817090897-pandas_testing_dataset (1)
TEST0380554bf7-pandas_testing_dataset (4)
TEST3ee36e8050-XOR (1)
anneal (137) 0.24610244988864
Weather (24) 0.42857142857143
anneal (148) 0.24610244988864
anneal (94) 0.24610244988864
anneal (162) 0.24610244988864
TESTaae5145e5a-pandas_testing_dataset (3)
Weather (21) 0.57142857142857
TEST5f324b2a59-pandas_testing_dataset (2)
TEST2aa7f500a9-pandas_testing_dataset (1)
TESTf8293d7a08-pandas_testing_dataset (1)
TEST5f324b2a59-pandas_testing_dataset (1)
TESTb9afa86415-pandas_testing_dataset (4)
TEST0380554bf7-pandas_testing_dataset (3)
anneal (156) 0.24610244988864
anneal (135) 0.24610244988864
anneal (150) 0.24610244988864
anneal (116) 0.36025
XOR (22)
TESTf8293d7a08-pandas_testing_dataset (3) 1
TESTa7f4a278b1-pandas_testing_dataset (3)
TEST2c8d16b5fc-XOR (1)
XOR (16)
TEST468d7bc5fb-UploadTestWithURL (1)
anneal (160) 0.24610244988864
anneal (153) 0.051224944320713
anneal (147) 0.36025
Weather (14) 0.42857142857143
Weather (17) 0.57142857142857
Weather (13) 0.57142857142857
TEST8b50f94dd0-pandas_testing_dataset (3) 1
XOR (24)
XOR (18)
XOR (20)
anneal (144) 0.24610244988864
anneal (154) 0.24610244988864
TEST65d4158d00-pandas_testing_dataset (4)
Weather (18) 0.42857142857143
Weather (20) 0.42857142857143
TEST5495fa0b29-ModifiedWeather (1)
TESTf835401612-pandas_testing_dataset (1)
Diabetes(scikit-learn) (7)
Diabetes(scikit-learn) (9)
Diabetes(scikit-learn) (12)
TESTe58a794a8e-XOR (1)
XOR (23)
anneal (158) 0.24610244988864
anneal (118) 0.24610244988864
anneal (109) 0.24610244988864
anneal (155) 0.24610244988864
anneal (164) 0.051224944320713
Weather (22) 0.42857142857143
TESTb9afa86415-pandas_testing_dataset (2)
semeion (1) 0.14563716258632
synthetic_control (1) 0.053333333333333
gina_agnostic (1) 0.23269896193772
MagicTelescope (1) 0.27323869610936
one-hundred-plants-texture (1) 0.32520325203252
spambase (1) 0.20234731580091
cnae-9 (1) 0.083333333333333
har (1) 0.25138362947859
cylinder-bands (2) 0.32962962962963
anneal (67) 0.24610244988864
anneal (165) 0.24610244988864
anneal (166) 0.24610244988864
anneal (170) 0.24610244988864
anneal (171) 0.051224944320713
Weather (25) 0.57142857142857
XOR (26)
Weather (26) 0.42857142857143
anneal (169) 0.24610244988864
anneal (167) 0.24610244988864
anneal (172) 0.24610244988864
Diabetes(scikit-learn) (13)
XOR (25)
analcatdata_authorship (1) 0.014268727705113
climate-model-simulation-crashes (1) 0.11296296296296
wdbc (1) 0.072056239015817
Amazon_employee_access (1) 0.11034819494034
GesturePhaseSegmentationProcessed (1) 0.5825990073939
pol (1)
steel-plates-fault (1) 0.33178773827924
triazines (1)
cardiotocography (1) 0.035747883349012
PhishingWebsites (1) 0.07209407507915
satimage (1) 0.20326594090202
ada_agnostic (1) 0.17645769399386
anneal (177) 0.24610244988864
anneal (183) 0.24610244988864
anneal (174) 0.24610244988864
Weather (29) 0.57142857142857
Diabetes(scikit-learn) (15)
Weather (28) 0.42857142857143
anneal (189) 0.051224944320713
Diabetes(scikit-learn) (14)
anneal (175) 0.24610244988864
Weather (27) 0.57142857142857
anneal (186) 0.24610244988864
anneal (187) 0.24610244988864
anneal (179) 0.24610244988864
anneal (178) 0.24610244988864
XOR (28)
XOR (30)
XOR (27)
anneal (182) 0.24610244988864
anneal (173) 0.24610244988864
anneal (184) 0.24610244988864
anneal (188) 0.24610244988864
anneal (181) 0.051224944320713
Weather (30) 0.42857142857143
XOR (29)
scene (1) 0.3174075612796
qsar-biodeg (1) 0.24265402843602
texture (1) 0.22618181818182
Click_prediction_small (5) 0.18303794933413
ozone-level-8hr (1) 0.30386740331492
jm1 (1) 0.19660082682591
wall-robot-navigation (1) 0.4741568914956
anneal (192) 0.24610244988864
gas-drift (1) 0.42796549245147
madelon (1) 0.40961538461538
UNIX_user_data (1)
mbagrade (1)
wisconsin (1)
sleep (1)
mozilla4 (1) 0.31457060147958
tamilnadu-electricity (1) 0
kc1 (1) 0.17449027975344
splice (1) 0.047021943573668
artificial-characters (1) 0.7031708749266
electricity (1) 0.2705905720339
one-hundred-plants-margin (1) 0.20875
anneal (202) 0.24610244988864
Weather (36) 0.42857142857143
anneal (190) 0.24610244988864
XOR (31)
anneal (193) 0.24610244988864
anneal (211) 0.24610244988864
anneal (201) 0.24610244988864
anneal (204) 0.24610244988864
Weather (34) 0.42857142857143
Diabetes(scikit-learn) (16)
XOR (33)
anneal (206) 0.24610244988864
anneal (209) 0.24610244988864
anneal (212) 0.24610244988864
anneal (216) 0.051224944320713
XOR (32)
Weather (35) 0.57142857142857
Weather (32) 0.42857142857143
Diabetes(scikit-learn) (17)
XOR (34)
XOR (36)
anneal (199) 0.24610244988864
Weather (33) 0.57142857142857
anneal (191) 0.24610244988864
anneal (198) 0.24610244988864
anneal (196) 0.24610244988864
anneal (197) 0.051224944320713
Diabetes(scikit-learn) (18)
XOR (35)
detroit (1)
anneal (194) 0.24610244988864
anneal (226) 0.051224944320713
XOR (38)
Weather (39) 0.57142857142857
XOR (40)
XOR (39)
Diabetes(scikit-learn) (20)
anneal (227) 0.051224944320713
anneal (217) 0.24610244988864
anneal (220) 0.24610244988864
anneal (231) 0.24610244988864
anneal (222) 0.24610244988864
anneal (205) 0.24610244988864
anneal (224) 0.24610244988864
anneal (233) 0.24610244988864
Weather (31) 0.57142857142857
anneal (210) 0.24610244988864
anneal (214) 0.24610244988864
anneal (229) 0.24610244988864
anneal (218) 0.24610244988864
anneal (232) 0.24610244988864
anneal (228) 0.24610244988864
XOR (37)
Weather (37) 0.57142857142857
Weather (38) 0.42857142857143
Weather (40) 0.42857142857143
mabbob_ela_as_2d_regression_DiagonalCMA (1)
anneal (200) 0.051224944320713
anneal (219) 0.24610244988864
mabbob_ela_as_2d_regression_RCobyla (1)
mabbob_ela_as_5d_classify (1)
mabbob_ela_as_2d_classify (2)
mabbob_ela_as_2d_regression_modcma (1)
mabbob_ela_as_5d_regression_DiagonalCMA (1)
mabbob_ela_as_5d_regression_RCobyla (1)
mabbob_ela_as_5d_regression_modcma (1)
anneal (223) 0.24610244988864
mabbob_ela_as_2d_classify (1)
mabbob_ela_as_2d_classify (3)
mabbob_ela_as_5d_classify (2)
mabbob_ela_as_2d_regression_DifferentialEvolution (1)
mabbob_ela_as_2d_regression_modde (1)
mabbob_ela_as_5d_regression_DifferentialEvolution (1)
mabbob_ela_as_5d_regression_modde (1)
Diabetes(scikit-learn) (19)
mfeat-factors (1) 0.0765
mfeat-fourier (1) 0.2465
waveform-5000 (1) 0.1994
fourclass_scale (1)
cpu_act (1)
diabetes_numeric (1)
letter (1) 0.36025
nomao (1) 0.16494994922385
adult (2) 0.16713074812661
anneal (234) 0.24610244988864
anneal (236) 0.24610244988864
anneal (235) 0.24610244988864
anneal (240) 0.24610244988864
anneal (241) 0.24610244988864
anneal (238) 0.051224944320713
Diabetes(scikit-learn) (21)
Weather (41) 0.57142857142857
Weather (42) 0.42857142857143
XOR (42)
XOR (41)
anneal (239) 0.24610244988864
test (5) 0.033333333333333
test (11) 0.033333333333333
test (6) 0.033333333333333
test (12) 0.033333333333333
mfeat-morphological (1) 0.2995
car (1) 0.15219907407407
cmc (1) 0.50644942294637
credit-a (1) 0.21594202898551
segment (1) 0.1974025974026
tic-tac-toe (1) 0.28705636743215
vehicle (1) 0.54491725768322
abalone (1) 0.76993057218099
eucalyptus (1) 0.45108695652174
vowel (2) 0.41616161616162
monks-problems-1 (1) 0.25359712230216
monks-problems-2 (1) 0.4026622296173
monks-problems-3 (1) 0.036101083032491
JapaneseVowels (1) 0.14255596827628
irish (1) 0.02
analcatdata_dmft (1) 0.76787954830615
profb (1) 0.33035714285714
banknote-authentication (1) 0.15889212827988
blood-transfusion-service-center (1) 0.24465240641711
phoneme (1) 0.24037749814952
wilt (1) 0.10684025625129
dresses-sales (2) 0.396
LED-display-domain-7digit (1) 0.296
Australian (3) 0.27536231884058
kin8nm (1)
cleveland (1)
auto_price (1)
autoMpg (1)
delta_elevators (1)
fruitfly (1)
pbc (1)
lowbwt (1)
cholesterol (1)
autoPrice (1)
mushroom (1) 0.048990645002462
pendigits (1) 0.14255822416303
sick (1) 0.07423117709438
isolet (1) 0.16916762857509
sylva_agnostic (1) 0.02459187217784
pc1 (1) 0.11000901713255
musk (1) 0.15110639587754
first-order-theorem-proving (1) 0.83458646616541
ilpd (1) 0.43567753001715
micro-mass (2) 0.16637478108581
bolts (1)
optdigits (1) 0.090569395017794
pc4 (1) 0.16872427983539
mfeat-zernike (1) 0.2705
pc3 (1) 0.48240563019834
bank-marketing (1) 0.12174028444405
MiceProtein (1) 0.14444444444444
test (9) 0.033333333333333
test (15) 0.033333333333333
test (1) 0.033333333333333
test (10) 0.033333333333333
test (14) 0.033333333333333
test (19) 0.033333333333333
test (17) 0.033333333333333
test (21) 0.033333333333333
test (22) 0.033333333333333
test (3) 0.033333333333333
cloud (1)
pharynx (1)
breast-w (1) 0.040057224606581
test (18) 0.033333333333333
test (13) 0.033333333333333
test (16) 0.033333333333333
test (7) 0.033333333333333
test (2) 0.033333333333333
test (8) 0.033333333333333
test (23) 0.033333333333333
test (20) 0.033333333333333
test (4) 0.033333333333333
collins (1) 0.36
kc2 (1) 0.17049808429119
longley (1)
kr-vs-kp (1) 0.12108886107635
balance-scale (1) 0.104
diabetes (1) 0.24088541666667
quake (1)
iris (1) 0.033333333333333
anneal (1) 0.24610244988864
eeg-eye-state (1) 0.46348464619493
anneal (249) 0.24610244988864
anneal (256) 0.24610244988864
anneal (250) 0.24610244988864
anneal (251) 0.24610244988864
anneal (255) 0.24610244988864
anneal (254) 0.051224944320713
Weather (43) 0.57142857142857
XOR (44)
XOR (43)
Weather (44) 0.42857142857143
anneal (253) 0.24610244988864
Diabetes(scikit-learn) (22)