Measure

J48.001.ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

Value per dataset

anneal (3) 0.10356347438753
anneal (4) 0.10356347438753
iris-challenge (1) 0.07563025210084
anneal (6) 0.10356347438753
iris (2) 0.066666666666667
anneal (7) 0.10356347438753
web_questionsQA (1)
anneal (5) 0.10356347438753
anneal (2) 0.19710467706013
anneal (17) 0.19710467706013
anneal (16) 0.19710467706013
anneal (8) 0.10356347438753
anneal (9) 0.10356347438753
anneal (10) 0.10356347438753
anneal (12) 0.10356347438753
anneal (11) 0.10356347438753
anneal (13) 0.10356347438753
TEST0f75339a9c-XOR (1)
anneal (18) 0.10356347438753
anneal (14) 0.19710467706013
anneal (21) 0.19710467706013
anneal (20) 0.10356347438753
anneal (23) 0.10356347438753
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) 0.10356347438753
TESTc12a586b90-pandas_testing_dataset (3)
TESTc12a586b90-pandas_testing_dataset (2)
TESTb07cf9b053-XOR (1)
anneal (32) 0.10356347438753
anneal (28) 0.0055679287305122
anneal (22) 0.10356347438753
anneal (35) 0.19710467706013
anneal (27) 0.10356347438753
anneal (30) 0.10356347438753
anneal (26) 0.10356347438753
Diabetes(scikit-learn) (1)
anneal (29) 0.19710467706013
anneal (31) 0.10356347438753
anneal (37) 0.0055679287305122
Weather (1) 0.35714285714286
TESTf996380d59-pandas_testing_dataset (3)
XOR (2)
TESTc12a586b90-pandas_testing_dataset (4)
soybean (1) 0.12152269399707
XOR (1)
anneal (33) 0.10356347438753
Weather (2) 0.57142857142857
anneal (24) 0.10356347438753
anneal (41) 0.19710467706013
mfeat-karhunen (1) 0.21
anneal (38) 0.10356347438753
anneal (50) 0.10356347438753
TESTfeb0eb848e-pandas_testing_dataset (3) 1
anneal (40) 0.10356347438753
TESTa675afdd91-pandas_testing_dataset (3) 1
anneal (49) 0.10356347438753
anneal (46) 0.0055679287305122
anneal (53) 0.10356347438753
anneal (47) 0.10356347438753
Weather (3) 0.57142857142857
XOR (3)
XOR (4)
anneal (42) 0.19710467706013
anneal (48) 0.19710467706013
anneal (51) 0.10356347438753
anneal (55) 0.0055679287305122
XOR (6)
Weather (4) 0.57142857142857
Weather (6) 0.57142857142857
Weather (5) 0.57142857142857
TESTe4a276b0cf-pandas_testing_dataset (3)
anneal (68) 0.10356347438753
Diabetes(scikit-learn) (2)
TEST08cae6fca0-XOR (1)
XOR (5)
TESTb327ca7de9-XOR (1)
TESTe551bfc9c4-XOR (1)
anneal (57) 0.10356347438753
TEST9b725c857e-pandas_testing_dataset (2)
anneal (58) 0.10356347438753
TESTd5d5774b51-XOR (1)
anneal (69) 0.10356347438753
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) 0.15865
TEST3af90fc5e8-pandas_testing_dataset (1)
TEST930682397f-pandas_testing_dataset (4)
TESTec5422582f-XOR (1)
TESTbfaff51e7c-XOR (1)
TESTc8d3dcd16c-ModifiedWeather (1)
vineyard (1)
anneal (56) 0.10356347438753
TEST8451297d53-UploadTestWithURL (1)
TEST9b725c857e-pandas_testing_dataset (3) 1
Diabetes(scikit-learn) (3)
TEST541c23ce86-UploadTestWithURL (1)
TEST9bde17c085-pandas_testing_dataset (2)
anneal (60) 0.10356347438753
anneal (70) 0.10356347438753
TESTb7b2b01540-XOR (1)
anneal (61) 0.19710467706013
anneal (64) 0.10356347438753
anneal (71) 0.15865
TEST3312f9ab08-XOR (1)
TEST9a3df79c6a-pandas_testing_dataset (3) 1
TEST930682397f-pandas_testing_dataset (2)
TEST9a3df79c6a-pandas_testing_dataset (2)
TEST03c86d3a28-ModifiedWeather (1)
anneal (72) 0.19710467706013
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) 0.279
TEST43ba10d105-pandas_testing_dataset (4)
TEST930682397f-pandas_testing_dataset (3)
anneal (65) 0.0055679287305122
TESTa759ae6cbf-pandas_testing_dataset (1)
TEST9bde17c085-pandas_testing_dataset (1)
TEST0c357fa5de-XOR (1)
TEST6ca67e6faa-ModifiedWeather (1)
anneal (79) 0.10356347438753
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) 0.10356347438753
Weather (7) 0.57142857142857
anneal (43) 0.10356347438753
anneal (63) 0.19710467706013
TEST4e3eedc7d2-pandas_testing_dataset (3) 1
anneal (62) 0.10356347438753
anneal (76) 0.10356347438753
anneal (81) 0.10356347438753
anneal (74) 0.0055679287305122
TESTa759ae6cbf-pandas_testing_dataset (3)
TEST67f486525d-XOR (1)
anneal (78) 0.10356347438753
TESTb075985133-pandas_testing_dataset (4)
anneal (82) 0.0055679287305122
Weather (8) 0.57142857142857
anneal (75) 0.19710467706013
anneal (77) 0.19710467706013
anneal (83) 0.10356347438753
Diabetes(scikit-learn) (4)
TEST3af90fc5e8-pandas_testing_dataset (2)
XOR (8)
TEST3556189ac9-UploadTestWithURL (1)
anneal (66) 0.19710467706013
anneal (86) 0.19710467706013
anneal (90) 0.10356347438753
anneal (85) 0.10356347438753
Weather (10) 0.35714285714286
Diabetes(scikit-learn) (5)
XOR (9)
anneal (84) 0.10356347438753
TESTaae5145e5a-pandas_testing_dataset (1)
anneal (95) 0.10356347438753
Weather (9) 0.57142857142857
TEST659b6910a4-ModifiedWeather (1)
anneal (100) 0.0055679287305122
anneal (97) 0.10356347438753
anneal (92) 0.0055679287305122
Weather (12) 0.57142857142857
TESTaae5145e5a-pandas_testing_dataset (2)
TEST4f5a60c6fe-XOR (1)
XOR (11)
Weather (11) 0.35714285714286
TESTaae5145e5a-pandas_testing_dataset (4)
XOR (10)
anneal (103) 0.10356347438753
Diabetes(scikit-learn) (6)
anneal (89) 0.10356347438753
TESTd595e0f71b-pandas_testing_dataset (3) 1
anneal (101) 0.19710467706013
anneal (104) 0.10356347438753
anneal (107) 0.0055679287305122
TEST41e4ee3472-pandas_testing_dataset (4)
TEST41e4ee3472-pandas_testing_dataset (3)
TEST0cc3a4aabf-pandas_testing_dataset (1)
TEST7385da85d0-XOR (1)
TEST107d885b90-pandas_testing_dataset (3) 1
TESTd595e0f71b-pandas_testing_dataset (2)
anneal (112) 0.10356347438753
TESTe5ab921db9-pandas_testing_dataset (3) 1
anneal (93) 0.10356347438753
TESTa70326ee04-pandas_testing_dataset (3)
anneal (115) 0.10356347438753
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) 0.10356347438753
anneal (124) 0.10356347438753
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) 0.19710467706013
TESTa70326ee04-pandas_testing_dataset (4)
anneal (99) 0.19710467706013
anneal (88) 0.10356347438753
TEST06657cce0d-ModifiedWeather (1)
TESTe7d3072a9e-pandas_testing_dataset (2)
TEST9c5326e45b-UploadTestWithURL (1)
anneal (122) 0.10356347438753
TEST393d571ed9-XOR (1)
anneal (119) 0.10356347438753
anneal (117) 0.15865
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) 0.19710467706013
Diabetes(scikit-learn) (8)
anneal (125) 0.0055679287305122
TESTa70326ee04-pandas_testing_dataset (2)
anneal (114) 0.10356347438753
TEST534813403d-XOR (1)
Weather (16) 0.57142857142857
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) 0.19710467706013
TEST69f067a100-pandas_testing_dataset (3) 1
TEST6be6740770-XOR (1)
TEST13f574f33c-ModifiedWeather (1)
TEST8082298a9f-pandas_testing_dataset (2)
anneal (127) 0.19710467706013
anneal (128) 0.10356347438753
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) 0.19710467706013
TEST6f4f5ea7ed-ModifiedWeather (1)
anneal (141) 0.19710467706013
TESTf8293d7a08-pandas_testing_dataset (2)
anneal (131) 0.10356347438753
anneal (121) 0.19710467706013
anneal (129) 0.10356347438753
anneal (133) 0.0055679287305122
XOR (12)
TESTb9afa86415-pandas_testing_dataset (3)
TEST8082298a9f-pandas_testing_dataset (1)
anneal (142) 0.10356347438753
TEST5087cf3992-pandas_testing_dataset (2)
anneal (143) 0.19710467706013
Weather (19) 0.57142857142857
TESTed97a7a3c7-ModifiedWeather (1)
XOR (17)
TESTc04561a900-XOR (1)
one-hundred-plants-shape (1) 0.598125
TEST41e4ee3472-pandas_testing_dataset (2)
TESTf835401612-pandas_testing_dataset (2)
TEST65d4158d00-pandas_testing_dataset (1)
Bioresponse (1) 0.28365769128232
TEST69f067a100-pandas_testing_dataset (1)
TEST0d33c33299-XOR (1)
anneal (146) 0.10356347438753
anneal (145) 0.10356347438753
anneal (105) 0.19710467706013
TESTa7f4a278b1-pandas_testing_dataset (1)
XOR (19)
TEST65d4158d00-pandas_testing_dataset (3)
anneal (138) 0.10356347438753
anneal (151) 0.10356347438753
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) 0.10356347438753
anneal (130) 0.10356347438753
TEST5f324b2a59-pandas_testing_dataset (3) 1
TESTa70326ee04-pandas_testing_dataset (1)
XOR (14)
TEST0032b11fc5-XOR (1)
anneal (140) 0.10356347438753
anneal (102) 0.10356347438753
anneal (136) 0.10356347438753
anneal (139) 0.0055679287305122
TEST0817090897-pandas_testing_dataset (3) 1
TEST8082298a9f-pandas_testing_dataset (4)
TESTad4e03ac11-XOR (1)
TEST0817090897-pandas_testing_dataset (2)
TEST2abc4a67a5-XOR (1)
anneal (149) 0.10356347438753
TEST11a33fb394-ModifiedWeather (1)
Weather (23) 0.35714285714286
anneal (159) 0.10356347438753
anneal (157) 0.10356347438753
anneal (126) 0.10356347438753
TEST0817090897-pandas_testing_dataset (1)
TEST0380554bf7-pandas_testing_dataset (4)
TEST3ee36e8050-XOR (1)
anneal (137) 0.10356347438753
Weather (24) 0.57142857142857
anneal (148) 0.10356347438753
anneal (94) 0.10356347438753
anneal (162) 0.10356347438753
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) 0.10356347438753
anneal (135) 0.19710467706013
anneal (150) 0.10356347438753
anneal (116) 0.17445
XOR (22)
TESTf8293d7a08-pandas_testing_dataset (3) 1
TESTa7f4a278b1-pandas_testing_dataset (3)
TEST2c8d16b5fc-XOR (1)
XOR (16)
TEST468d7bc5fb-UploadTestWithURL (1)
anneal (160) 0.10356347438753
anneal (153) 0.0055679287305122
anneal (147) 0.17445
Weather (14) 0.57142857142857
Weather (17) 0.35714285714286
Weather (13) 0.35714285714286
TEST8b50f94dd0-pandas_testing_dataset (3) 1
XOR (24)
XOR (18)
XOR (20)
anneal (144) 0.19710467706013
anneal (154) 0.10356347438753
TEST65d4158d00-pandas_testing_dataset (4)
Weather (18) 0.57142857142857
Weather (20) 0.35714285714286
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) 0.19710467706013
anneal (118) 0.10356347438753
anneal (109) 0.19710467706013
anneal (155) 0.19710467706013
anneal (164) 0.0055679287305122
Weather (22) 0.35714285714286
TESTb9afa86415-pandas_testing_dataset (2)
synthetic_control (1) 0.12666666666667
gina_agnostic (1) 0.15801614763552
MagicTelescope (1) 0.15904311251314
spambase (1) 0.08411214953271
cnae-9 (1) 0.13703703703704
har (1) 0.069909699970871
cylinder-bands (2) 0.38333333333333
anneal (67) 0.10356347438753
anneal (165) 0.19710467706013
anneal (166) 0.19710467706013
anneal (170) 0.19710467706013
anneal (171) 0.0055679287305122
Weather (25) 0.35714285714286
XOR (26)
Weather (26) 0.57142857142857
anneal (169) 0.10356347438753
anneal (167) 0.19710467706013
anneal (172) 0.19710467706013
Diabetes(scikit-learn) (13)
XOR (25)
climate-model-simulation-crashes (1) 0.11296296296296
Amazon_employee_access (1) 0.057890079038115
steel-plates-fault (1) 0
triazines (1)
satimage (1) 0.14152410575428
ada_agnostic (1) 0.16374397194213
anneal (177) 0.19710467706013
anneal (183) 0.10356347438753
anneal (174) 0.10356347438753
Weather (29) 0.57142857142857
Diabetes(scikit-learn) (15)
Weather (28) 0.35714285714286
anneal (189) 0.0055679287305122
Diabetes(scikit-learn) (14)
anneal (175) 0.19710467706013
Weather (27) 0.57142857142857
anneal (186) 0.19710467706013
anneal (187) 0.19710467706013
anneal (179) 0.10356347438753
anneal (178) 0.10356347438753
XOR (28)
XOR (30)
XOR (27)
anneal (182) 0.19710467706013
anneal (173) 0.19710467706013
anneal (184) 0.19710467706013
anneal (188) 0.19710467706013
anneal (181) 0.0055679287305122
Weather (30) 0.57142857142857
XOR (29)
scene (1) 0.010801828001662
qsar-biodeg (1) 0.1781990521327
texture (1) 0.081818181818182
Click_prediction_small (5) 0.16756783818965
ozone-level-8hr (1) 0.082478295185478
jm1 (1) 0.19843821773082
wall-robot-navigation (1) 0.0087976539589443
anneal (192) 0.19710467706013
madelon (1) 0.38115384615385
UNIX_user_data (1)
mbagrade (1)
sleep (1)
tamilnadu-electricity (1) 0
kc1 (1) 0.15267899478426
splice (1) 0.06551724137931
electricity (1) 0.12171168785311
one-hundred-plants-margin (1) 0.584375
anneal (202) 0.19710467706013
Weather (36) 0.57142857142857
anneal (190) 0.10356347438753
XOR (31)
anneal (193) 0.19710467706013
anneal (211) 0.10356347438753
anneal (201) 0.10356347438753
anneal (204) 0.10356347438753
Weather (34) 0.57142857142857
Diabetes(scikit-learn) (16)
XOR (33)
anneal (206) 0.10356347438753
anneal (209) 0.19710467706013
anneal (212) 0.10356347438753
anneal (216) 0.0055679287305122
XOR (32)
Weather (35) 0.57142857142857
Weather (32) 0.35714285714286
Diabetes(scikit-learn) (17)
XOR (34)
XOR (36)
anneal (199) 0.19710467706013
Weather (33) 0.57142857142857
anneal (191) 0.19710467706013
anneal (198) 0.19710467706013
anneal (196) 0.10356347438753
anneal (197) 0.0055679287305122
Diabetes(scikit-learn) (18)
XOR (35)
detroit (1)
anneal (194) 0.19710467706013
anneal (226) 0.0055679287305122
XOR (38)
Weather (39) 0.57142857142857
XOR (40)
XOR (39)
Diabetes(scikit-learn) (20)
anneal (227) 0.0055679287305122
anneal (217) 0.19710467706013
anneal (220) 0.19710467706013
anneal (231) 0.10356347438753
anneal (222) 0.19710467706013
anneal (205) 0.10356347438753
anneal (224) 0.10356347438753
anneal (233) 0.10356347438753
Weather (31) 0.35714285714286
anneal (210) 0.19710467706013
anneal (214) 0.19710467706013
anneal (229) 0.10356347438753
anneal (218) 0.10356347438753
anneal (232) 0.10356347438753
anneal (228) 0.10356347438753
XOR (37)
Weather (37) 0.57142857142857
Weather (38) 0.35714285714286
Weather (40) 0.35714285714286
mabbob_ela_as_2d_regression_DiagonalCMA (1)
anneal (200) 0.0055679287305122
anneal (219) 0.19710467706013
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) 0.19710467706013
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) 0.1375
mfeat-fourier (1) 0.282
waveform-5000 (1) 0.256
fourclass_scale (1)
cpu_act (1)
diabetes_numeric (1)
letter (1) 0.15865
anneal (234) 0.19710467706013
anneal (236) 0.19710467706013
anneal (235) 0.19710467706013
anneal (240) 0.10356347438753
anneal (241) 0.10356347438753
anneal (238) 0.0055679287305122
Diabetes(scikit-learn) (21)
Weather (41) 0.57142857142857
Weather (42) 0.35714285714286
XOR (42)
XOR (41)
anneal (239) 0.19710467706013
test (5) 0.066666666666667
test (11) 0.066666666666667
test (6) 0.066666666666667
test (12) 0.066666666666667
mushroom (1) 0
pendigits (1) 0.044395924308588
sick (1) 0.015641569459173
pc1 (1) 0.073038773669973
musk (1) 0.0045468323734465
first-order-theorem-proving (1) 0.46567505720824
micro-mass (2) 0.2907180385289
bolts (1)
pc4 (1) 0.11179698216735
mfeat-zernike (1) 0.3195
pc3 (1) 0.1190019193858
bank-marketing (1) 0.098250425781336
MiceProtein (1) 0
test (9) 0.066666666666667
test (15) 0.066666666666667
test (1) 0.066666666666667
test (10) 0.066666666666667
test (14) 0.066666666666667
test (19) 0.066666666666667
test (17) 0.066666666666667
test (21) 0.066666666666667
test (22) 0.066666666666667
test (3) 0.066666666666667
test (18) 0.066666666666667
test (13) 0.066666666666667
test (16) 0.066666666666667
test (7) 0.066666666666667
test (2) 0.066666666666667
test (8) 0.066666666666667
test (23) 0.066666666666667
test (20) 0.066666666666667
test (4) 0.066666666666667
anneal (249) 0.10356347438753
anneal (256) 0.19710467706013
anneal (250) 0.19710467706013
anneal (251) 0.19710467706013
anneal (255) 0.19710467706013
anneal (254) 0.0055679287305122
Weather (43) 0.57142857142857
XOR (44)
XOR (43)
Weather (44) 0.35714285714286
anneal (253) 0.19710467706013
test (24) 0.066666666666667
test (27) 0.066666666666667
Diabetes(scikit-learn) (22)
PhishingWebsites (1) 0.049751243781095
GesturePhaseSegmentationProcessed (1) 0.50795097741315
sylva_agnostic (1) 0.0091003820771101
wdbc (1) 0.056239015817223
pol (1)
analcatdata_authorship (1) 0.083234244946492
nomao (1) 0.050863194545191
adult (2) 0.13906064452725
mfeat-pixel (1) 0.247
optdigits (1) 0.1202846975089
isolet (1) 0.18263434654354
mozilla4 (1) 0.057317465422966
artificial-characters (1) 0.30387551379918
cardiotocography (1) 0
gas-drift (1) 0.033285406182602
anneal (269) 0.19710467706013
anneal (265) 0.19710467706013
anneal (266) 0.19710467706013
anneal (270) 0.19710467706013
Weather (46) 0.35714285714286
Diabetes(scikit-learn) (23)
anneal (267) 0.19710467706013
anneal (271) 0.10356347438753
anneal (272) 0.0055679287305122
Weather (45) 0.57142857142857
XOR (46)
XOR (45)
semeion (1) 0.27746390458255
wisconsin (1)
hill-valley (1) 0.5
cjs (3) 0
one-hundred-plants-texture (1) 0.55534709193246
collins (1) 0
kc2 (1) 0.18390804597701
longley (1)
kr-vs-kp (1) 0.0078222778473091
iris (1) 0.066666666666667
eeg-eye-state (1) 0.18638184245661
anneal (275) 0.19710467706013
anneal (273) 0.19710467706013
anneal (279) 0.19710467706013
anneal (276) 0.19710467706013
anneal (274) 0.19710467706013
Weather (47) 0.35714285714286
Weather (48) 0.57142857142857
Diabetes(scikit-learn) (24)
XOR (48)
anneal (278) 0.19710467706013
anneal (281) 0.0055679287305122
mfeat-morphological (1) 0.295
XOR (47)
car (1) 0.13078703703704
cmc (1) 0.50441276306857
credit-a (1) 0.16086956521739
segment (1) 0.047186147186147
diabetes (1) 0.27604166666667
tic-tac-toe (1) 0.18580375782881
vehicle (1) 0.31087470449173
abalone (1) 0.80057457505387
eucalyptus (1) 0.39673913043478
vowel (2) 0.32020202020202
monks-problems-1 (1) 0.10431654676259
monks-problems-2 (1) 0.35607321131448
monks-problems-3 (1) 0.010830324909747
JapaneseVowels (1) 0.13542816986246
irish (1) 0
analcatdata_dmft (1) 0.80803011292346
profb (1) 0.32738095238095
banknote-authentication (1) 0.016034985422741
blood-transfusion-service-center (1) 0.22459893048128
ilpd (1) 0.29159519725557
phoneme (1) 0.16894892672095
wilt (1) 0.021078735275883
dresses-sales (2) 0.432
LED-display-domain-7digit (1) 0.312
Australian (3) 0.16086956521739
kin8nm (1)
cleveland (1)
auto_price (1)
autoMpg (1)
delta_elevators (1)
fruitfly (1)
pbc (1)
lowbwt (1)
cholesterol (1)
autoPrice (1)
quake (1)
cloud (1)
pharynx (1)
balance-scale (1) 0.1984
breast-w (1) 0.055793991416309
anneal (1) 0.10356347438753
test (29) 0.066666666666667
test (30) 0.066666666666667
test (28) 0.066666666666667