Measure

kNN1NKappa

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

Value per dataset

anneal (3) 0.82611029389283
anneal (4) 0.82611029389283
iris-challenge (1) 0.86132005509058
anneal (6) 0.82611029389283
iris (2) 0.91
anneal (7) 0.82611029389283
web_questionsQA (1)
anneal (5) 0.82611029389283
anneal (2) 0.82611029389283
anneal (17) 0.82611029389283
anneal (16) 0.82611029389283
anneal (8) 0.82611029389283
anneal (9) 0.82611029389283
anneal (10) 0.82611029389283
anneal (12) 0.82611029389283
anneal (11) 0.82611029389283
anneal (13) 0.82611029389283
TEST0f75339a9c-XOR (1)
anneal (18) 0.82611029389283
anneal (14) 0.82611029389283
anneal (21) 0.82611029389283
anneal (20) 0.82611029389283
anneal (23) 0.82611029389283
TEST93718efcb7-XOR (1)
TEST491e2d1fcf-ModifiedWeather (1)
TEST8a3eef08ba-pandas_testing_dataset (3) -0.25
TEST8a3eef08ba-pandas_testing_dataset (2)
TEST95354eb682-XOR (1)
TESTde76aea5ac-pandas_testing_dataset (3) -0.25
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) 0.82611029389283
TESTc12a586b90-pandas_testing_dataset (3)
TESTc12a586b90-pandas_testing_dataset (2)
TESTb07cf9b053-XOR (1)
anneal (32) 0.82611029389283
anneal (28) 0.75232927819956
anneal (22) 0.82611029389283
anneal (35) 0.82611029389283
anneal (27) 0.82611029389283
anneal (30) 0.82611029389283
anneal (26) 0.82611029389283
Diabetes(scikit-learn) (1)
anneal (29) 0.82611029389283
anneal (31) 0.82611029389283
anneal (37) 0.75232927819956
Weather (1) 0.42857142857143
TESTf996380d59-pandas_testing_dataset (3)
XOR (2)
TESTc12a586b90-pandas_testing_dataset (4)
soybean (1) 0.87134478138738
XOR (1)
anneal (33) 0.82611029389283
Weather (2) 0.37777777777778
anneal (24) 0.82611029389283
anneal (41) 0.82611029389283
mfeat-karhunen (1) 0.94444444444444
anneal (38) 0.82611029389283
anneal (50) 0.82611029389283
TESTfeb0eb848e-pandas_testing_dataset (3) -0.25
anneal (40) 0.82611029389283
TESTa675afdd91-pandas_testing_dataset (3) -0.25
anneal (49) 0.82611029389283
anneal (46) 0.75232927819956
anneal (53) 0.82611029389283
anneal (47) 0.82611029389283
Weather (3) 0.42857142857143
XOR (3)
XOR (4)
anneal (42) 0.82611029389283
anneal (48) 0.82611029389283
anneal (51) 0.82611029389283
anneal (55) 0.75232927819956
XOR (6)
Weather (4) 0.37777777777778
Weather (6) 0.37777777777778
Weather (5) 0.42857142857143
TESTe4a276b0cf-pandas_testing_dataset (3)
anneal (68) 0.82611029389283
Diabetes(scikit-learn) (2)
TEST08cae6fca0-XOR (1)
XOR (5)
TESTb327ca7de9-XOR (1)
TESTe551bfc9c4-XOR (1)
anneal (57) 0.82611029389283
TEST9b725c857e-pandas_testing_dataset (2)
anneal (58) 0.82611029389283
TESTd5d5774b51-XOR (1)
anneal (69) 0.82611029389283
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) 0.93983387821765
TEST3af90fc5e8-pandas_testing_dataset (1)
TEST930682397f-pandas_testing_dataset (4)
TESTec5422582f-XOR (1)
TESTbfaff51e7c-XOR (1)
TESTc8d3dcd16c-ModifiedWeather (1)
vineyard (1)
anneal (56) 0.82611029389283
TEST8451297d53-UploadTestWithURL (1)
TEST9b725c857e-pandas_testing_dataset (3) -0.25
Diabetes(scikit-learn) (3)
TEST541c23ce86-UploadTestWithURL (1)
TEST9bde17c085-pandas_testing_dataset (2)
anneal (60) 0.82611029389283
anneal (70) 0.82611029389283
TESTb7b2b01540-XOR (1)
anneal (61) 0.82611029389283
anneal (64) 0.82611029389283
anneal (71) 0.93983387821765
TEST3312f9ab08-XOR (1)
TEST9a3df79c6a-pandas_testing_dataset (3) -0.25
TEST930682397f-pandas_testing_dataset (2)
TEST9a3df79c6a-pandas_testing_dataset (2)
TEST03c86d3a28-ModifiedWeather (1)
anneal (72) 0.82611029389283
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) 0.30447470817121
TEST43ba10d105-pandas_testing_dataset (4)
TEST930682397f-pandas_testing_dataset (3)
anneal (65) 0.75232927819956
TESTa759ae6cbf-pandas_testing_dataset (1)
TEST9bde17c085-pandas_testing_dataset (1)
TEST0c357fa5de-XOR (1)
TEST6ca67e6faa-ModifiedWeather (1)
anneal (79) 0.82611029389283
TESTe4a276b0cf-pandas_testing_dataset (4)
TEST48f3ec321a-pandas_testing_dataset (1)
TESTb075985133-pandas_testing_dataset (3)
TEST9bde17c085-pandas_testing_dataset (3) -0.25
XOR (7)
TEST930682397f-pandas_testing_dataset (1)
TEST4e3eedc7d2-pandas_testing_dataset (1)
TEST3af90fc5e8-pandas_testing_dataset (3)
TEST5861a96af9-UploadTestWithURL (1)
anneal (39) 0.82611029389283
Weather (7) 0.42857142857143
anneal (43) 0.82611029389283
anneal (63) 0.82611029389283
TEST4e3eedc7d2-pandas_testing_dataset (3) -0.25
anneal (62) 0.82611029389283
anneal (76) 0.82611029389283
anneal (81) 0.82611029389283
anneal (74) 0.75232927819956
TESTa759ae6cbf-pandas_testing_dataset (3)
TEST67f486525d-XOR (1)
anneal (78) 0.82611029389283
TESTb075985133-pandas_testing_dataset (4)
anneal (82) 0.75232927819956
Weather (8) 0.37777777777778
anneal (75) 0.82611029389283
anneal (77) 0.82611029389283
anneal (83) 0.82611029389283
Diabetes(scikit-learn) (4)
TEST3af90fc5e8-pandas_testing_dataset (2)
XOR (8)
TEST3556189ac9-UploadTestWithURL (1)
anneal (66) 0.82611029389283
anneal (86) 0.82611029389283
anneal (90) 0.82611029389283
anneal (85) 0.82611029389283
Weather (10) 0.37777777777778
Diabetes(scikit-learn) (5)
XOR (9)
anneal (84) 0.82611029389283
TESTaae5145e5a-pandas_testing_dataset (1)
anneal (95) 0.82611029389283
Weather (9) 0.42857142857143
TEST659b6910a4-ModifiedWeather (1)
anneal (100) 0.75232927819956
anneal (97) 0.82611029389283
anneal (92) 0.75232927819956
Weather (12) 0.37777777777778
TESTaae5145e5a-pandas_testing_dataset (2)
TEST4f5a60c6fe-XOR (1)
XOR (11)
Weather (11) 0.42857142857143
TESTaae5145e5a-pandas_testing_dataset (4)
XOR (10)
mfeat-pixel (1) 0.94722222222222
anneal (103) 0.82611029389283
Diabetes(scikit-learn) (6)
anneal (89) 0.82611029389283
TESTd595e0f71b-pandas_testing_dataset (3) -0.25
anneal (101) 0.82611029389283
anneal (104) 0.82611029389283
anneal (107) 0.75232927819956
TEST41e4ee3472-pandas_testing_dataset (4)
TEST41e4ee3472-pandas_testing_dataset (3)
hill-valley (1) 0.095709570957096
TEST0cc3a4aabf-pandas_testing_dataset (1)
TEST7385da85d0-XOR (1)
TEST107d885b90-pandas_testing_dataset (3) -0.25
TESTd595e0f71b-pandas_testing_dataset (2)
anneal (112) 0.82611029389283
TESTe5ab921db9-pandas_testing_dataset (3) -0.25
anneal (93) 0.82611029389283
TESTa70326ee04-pandas_testing_dataset (3)
anneal (115) 0.82611029389283
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) 0.82611029389283
anneal (124) 0.82611029389283
TESTe7d3072a9e-pandas_testing_dataset (3) -0.25
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) 0.82611029389283
TESTa70326ee04-pandas_testing_dataset (4)
anneal (99) 0.82611029389283
anneal (88) 0.82611029389283
TEST06657cce0d-ModifiedWeather (1)
TESTe7d3072a9e-pandas_testing_dataset (2)
TEST9c5326e45b-UploadTestWithURL (1)
anneal (122) 0.82611029389283
TEST393d571ed9-XOR (1)
anneal (119) 0.82611029389283
anneal (117) 0.93983387821765
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) 0.82611029389283
Diabetes(scikit-learn) (8)
anneal (125) 0.75232927819956
TESTa70326ee04-pandas_testing_dataset (2)
anneal (114) 0.82611029389283
TEST534813403d-XOR (1)
Weather (16) 0.37777777777778
TEST104cefcf93-XOR (1)
TESTd2ce00f39d-UploadTestWithURL (1)
TEST44ce59e507-UploadTestWithURL (1)
TEST41e4ee3472-pandas_testing_dataset (1)
Weather (15) 0.42857142857143
TEST107d885b90-pandas_testing_dataset (2)
anneal (134) 0.82611029389283
TEST69f067a100-pandas_testing_dataset (3) -0.25
TEST6be6740770-XOR (1)
TEST13f574f33c-ModifiedWeather (1)
TEST8082298a9f-pandas_testing_dataset (2)
anneal (127) 0.82611029389283
anneal (128) 0.82611029389283
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) -0.25
TESTf835401612-pandas_testing_dataset (3) -0.25
TESTaeab31689e-UploadTestWithURL (1)
anneal (108) 0.82611029389283
TEST6f4f5ea7ed-ModifiedWeather (1)
anneal (141) 0.82611029389283
TESTf8293d7a08-pandas_testing_dataset (2)
anneal (131) 0.82611029389283
anneal (121) 0.82611029389283
anneal (129) 0.82611029389283
anneal (133) 0.75232927819956
XOR (12)
TESTb9afa86415-pandas_testing_dataset (3)
TEST8082298a9f-pandas_testing_dataset (1)
anneal (142) 0.82611029389283
TEST5087cf3992-pandas_testing_dataset (2)
anneal (143) 0.82611029389283
Weather (19) 0.42857142857143
TESTed97a7a3c7-ModifiedWeather (1)
XOR (17)
TESTc04561a900-XOR (1)
one-hundred-plants-shape (1) 0.60037878787879
TEST41e4ee3472-pandas_testing_dataset (2)
TESTf835401612-pandas_testing_dataset (2)
TEST65d4158d00-pandas_testing_dataset (1)
Bioresponse (1) 0.45279151257497
TEST69f067a100-pandas_testing_dataset (1)
TEST0d33c33299-XOR (1)
anneal (146) 0.82611029389283
anneal (145) 0.82611029389283
cjs (3) 0.027477662164009
anneal (105) 0.82611029389283
TESTa7f4a278b1-pandas_testing_dataset (1)
XOR (19)
TEST65d4158d00-pandas_testing_dataset (3)
anneal (138) 0.82611029389283
anneal (151) 0.82611029389283
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) 0.82611029389283
anneal (130) 0.82611029389283
TEST5f324b2a59-pandas_testing_dataset (3) -0.25
TESTa70326ee04-pandas_testing_dataset (1)
XOR (14)
TEST0032b11fc5-XOR (1)
anneal (140) 0.82611029389283
anneal (102) 0.82611029389283
anneal (136) 0.82611029389283
anneal (139) 0.75232927819956
TEST0817090897-pandas_testing_dataset (3) -0.25
TEST8082298a9f-pandas_testing_dataset (4)
TESTad4e03ac11-XOR (1)
TEST0817090897-pandas_testing_dataset (2)
TEST2abc4a67a5-XOR (1)
anneal (149) 0.82611029389283
TEST11a33fb394-ModifiedWeather (1)
Weather (23) 0.42857142857143
anneal (159) 0.82611029389283
anneal (157) 0.82611029389283
anneal (126) 0.82611029389283
TEST0817090897-pandas_testing_dataset (1)
TEST0380554bf7-pandas_testing_dataset (4)
TEST3ee36e8050-XOR (1)
anneal (137) 0.82611029389283
Weather (24) 0.37777777777778
anneal (148) 0.82611029389283
anneal (94) 0.82611029389283
anneal (162) 0.82611029389283
TESTaae5145e5a-pandas_testing_dataset (3)
Weather (21) 0.42857142857143
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) 0.82611029389283
anneal (135) 0.82611029389283
anneal (150) 0.82611029389283
anneal (116) 0.93983387821765
XOR (22)
TESTf8293d7a08-pandas_testing_dataset (3) -0.25
TESTa7f4a278b1-pandas_testing_dataset (3)
TEST2c8d16b5fc-XOR (1)
XOR (16)
TEST468d7bc5fb-UploadTestWithURL (1)
anneal (160) 0.82611029389283
anneal (153) 0.75232927819956
anneal (147) 0.93983387821765
Weather (14) 0.37777777777778
Weather (17) 0.42857142857143
Weather (13) 0.42857142857143
TEST8b50f94dd0-pandas_testing_dataset (3) -0.25
XOR (24)
XOR (18)
XOR (20)
anneal (144) 0.82611029389283
anneal (154) 0.82611029389283
TEST65d4158d00-pandas_testing_dataset (4)
Weather (18) 0.37777777777778
Weather (20) 0.37777777777778
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) 0.82611029389283
anneal (118) 0.82611029389283
anneal (109) 0.82611029389283
anneal (155) 0.82611029389283
anneal (164) 0.75232927819956
Weather (22) 0.37777777777778
TESTb9afa86415-pandas_testing_dataset (2)
semeion (1) 0.87233866454364
synthetic_control (1) 0.958
gina_agnostic (1) 0.62141353347369
MagicTelescope (1) 0.5577522117348
one-hundred-plants-texture (1) 0.75363390094867
spambase (1) 0.77516774672954
cnae-9 (1) 0.7875
har (1) 0.94918957931045
cylinder-bands (2) 0.32113750650251
anneal (67) 0.82611029389283
anneal (165) 0.82611029389283
anneal (166) 0.82611029389283
anneal (170) 0.82611029389283
anneal (171) 0.75232927819956
Weather (25) 0.42857142857143
XOR (26)
Weather (26) 0.37777777777778
anneal (169) 0.82611029389283
anneal (167) 0.82611029389283
anneal (172) 0.82611029389283
Diabetes(scikit-learn) (13)
XOR (25)
analcatdata_authorship (1) 0.98269899752931
climate-model-simulation-crashes (1) 0.035184167124794
wdbc (1) 0.90520647994509
Amazon_employee_access (1) 0.44261231987065
GesturePhaseSegmentationProcessed (1) 0.47304121751664
pol (1)
steel-plates-fault (1) 0.9864096884941
triazines (1)
cardiotocography (1) 1
PhishingWebsites (1) 0.92457141041463
satimage (1) 0.86738379488485
ada_agnostic (1) 0.38761465082845
anneal (177) 0.82611029389283
anneal (183) 0.82611029389283
anneal (174) 0.82611029389283
Weather (29) 0.42857142857143
Diabetes(scikit-learn) (15)
Weather (28) 0.37777777777778
anneal (189) 0.75232927819956
Diabetes(scikit-learn) (14)
anneal (175) 0.82611029389283
Weather (27) 0.42857142857143
anneal (186) 0.82611029389283
anneal (187) 0.82611029389283
anneal (179) 0.82611029389283
anneal (178) 0.82611029389283
XOR (28)
XOR (30)
XOR (27)
anneal (182) 0.82611029389283
anneal (173) 0.82611029389283
anneal (184) 0.82611029389283
anneal (188) 0.82611029389283
anneal (181) 0.75232927819956
Weather (30) 0.37777777777778
XOR (29)
scene (1) 0.74459481740215
qsar-biodeg (1) 0.60872065925566
texture (1) 0.9822
Click_prediction_small (5) 0.066527078552399
ozone-level-8hr (1) 0.31421390253967
jm1 (1) 0.20020772020129
wall-robot-navigation (1) 0.79489275400317
anneal (192) 0.82611029389283
gas-drift (1) 0.99284807277407
madelon (1) 0.085384615384615
UNIX_user_data (1)
mbagrade (1)
wisconsin (1)
sleep (1)
mozilla4 (1) 0.72066084727756
tamilnadu-electricity (1) 1
kc1 (1) 0.35045478814046
splice (1) 0.59762629179099
artificial-characters (1) 0.76030669260697
electricity (1) 0.54273634725232
one-hundred-plants-margin (1) 0.71464646464646
anneal (202) 0.82611029389283
Weather (36) 0.37777777777778
anneal (190) 0.82611029389283
XOR (31)
anneal (193) 0.82611029389283
anneal (211) 0.82611029389283
anneal (201) 0.82611029389283
anneal (204) 0.82611029389283
Weather (34) 0.37777777777778
Diabetes(scikit-learn) (16)
XOR (33)
anneal (206) 0.82611029389283
anneal (209) 0.82611029389283
anneal (212) 0.82611029389283
anneal (216) 0.75232927819956
XOR (32)
Weather (35) 0.42857142857143
Weather (32) 0.37777777777778
Diabetes(scikit-learn) (17)
XOR (34)
XOR (36)
anneal (199) 0.82611029389283
Weather (33) 0.42857142857143
anneal (191) 0.82611029389283
anneal (198) 0.82611029389283
anneal (196) 0.82611029389283
anneal (197) 0.75232927819956
Diabetes(scikit-learn) (18)
XOR (35)
detroit (1)
anneal (194) 0.82611029389283
anneal (226) 0.75232927819956
XOR (38)
Weather (39) 0.42857142857143
XOR (40)
XOR (39)
Diabetes(scikit-learn) (20)
anneal (227) 0.75232927819956
anneal (217) 0.82611029389283
anneal (220) 0.82611029389283
anneal (231) 0.82611029389283
anneal (222) 0.82611029389283
anneal (205) 0.82611029389283
anneal (224) 0.82611029389283
anneal (233) 0.82611029389283
Weather (31) 0.42857142857143
anneal (210) 0.82611029389283
anneal (214) 0.82611029389283
anneal (229) 0.82611029389283
anneal (218) 0.82611029389283
anneal (232) 0.82611029389283
anneal (228) 0.82611029389283
XOR (37)
Weather (37) 0.42857142857143
Weather (38) 0.37777777777778
Weather (40) 0.37777777777778
mabbob_ela_as_2d_regression_DiagonalCMA (1)
anneal (200) 0.75232927819956
anneal (219) 0.82611029389283
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) 0.82611029389283
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) 0.95111111111111
mfeat-fourier (1) 0.765
waveform-5000 (1) 0.60579664927152
fourclass_scale (1)
cpu_act (1)
diabetes_numeric (1)
letter (1) 0.93983387821765
nomao (1) 0.87252664303486
adult (2) 0.43096769138747
anneal (234) 0.82611029389283
anneal (236) 0.82611029389283
anneal (235) 0.82611029389283
anneal (240) 0.82611029389283
anneal (241) 0.82611029389283
anneal (238) 0.75232927819956
Diabetes(scikit-learn) (21)
Weather (41) 0.42857142857143
Weather (42) 0.37777777777778
XOR (42)
XOR (41)
anneal (239) 0.82611029389283
test (5) 0.91
test (11) 0.91
test (6) 0.91
test (12) 0.91
mfeat-morphological (1) 0.63388888888889
car (1) 0.7503139820421
cmc (1) 0.14890873693558
credit-a (1) 0.63828154967395
segment (1) 0.94343434343434
tic-tac-toe (1) 0.93674278922578
vehicle (1) 0.57417298173988
abalone (1) 0.10670901007122
eucalyptus (1) 0.40228622299671
vowel (2) 0.91444444444444
monks-problems-1 (1) 0.87410071942446
monks-problems-2 (1) 0.26712518791414
monks-problems-3 (1) 0.91691986698833
JapaneseVowels (1) 0.9791905174141
irish (1) 0.95562225664859
analcatdata_dmft (1) 0.034568250643874
profb (1) -0.074626865671642
banknote-authentication (1) 0.99704928468811
blood-transfusion-service-center (1) 0.14866187295239
phoneme (1) 0.68772270933328
wilt (1) 0.40351484770754
dresses-sales (2) 0.07762938230384
LED-display-domain-7digit (1) 0.67074966741267
Australian (3) 0.64485337280825
kin8nm (1)
cleveland (1)
auto_price (1)
autoMpg (1)
delta_elevators (1)
fruitfly (1)
pbc (1)
lowbwt (1)
cholesterol (1)
autoPrice (1)
mushroom (1) 1
pendigits (1) 0.99120409421902
sick (1) 0.61537854287767
isolet (1) 0.84994233772427
sylva_agnostic (1) 0.78651914116023
pc1 (1) 0.40996301964622
musk (1) 0.9636889764997
first-order-theorem-proving (1) 0.38676358668194
ilpd (1) 0.17342046780926
micro-mass (2) 0.57534005284274
bolts (1)
optdigits (1) 0.98121745508091
pc4 (1) 0.31895436040283
mfeat-zernike (1) 0.77055555555556
pc3 (1) 0.25757770674794
bank-marketing (1) 0.30303727832433
MiceProtein (1) 0.98622394913458
test (9) 0.91
test (15) 0.91
test (1) 0.91
test (10) 0.91
test (14) 0.91
test (19) 0.91
test (17) 0.91
test (21) 0.91
test (22) 0.91
test (3) 0.91
cloud (1)
pharynx (1)
breast-w (1) 0.90444466721955
test (18) 0.91
test (13) 0.91
test (16) 0.91
test (7) 0.91
test (2) 0.91
test (8) 0.91
test (23) 0.91
test (20) 0.91
test (4) 0.91
collins (1) 1
kc2 (1) 0.38773257284791
longley (1)
kr-vs-kp (1) 0.86096765735711
balance-scale (1) 0.70279316712835
diabetes (1) 0.2960315504067
quake (1)
iris (1) 0.91
anneal (1) 0.82611029389283
eeg-eye-state (1) 0.66842280942451
anneal (249) 0.82611029389283
anneal (256) 0.82611029389283
anneal (250) 0.82611029389283
anneal (251) 0.82611029389283
anneal (255) 0.82611029389283
anneal (254) 0.75232927819956
Weather (43) 0.42857142857143
XOR (44)
XOR (43)
Weather (44) 0.37777777777778
anneal (253) 0.82611029389283
Diabetes(scikit-learn) (22)