| anneal (3) |
6 |
| anneal (4) |
6 |
| iris-challenge (1) |
4 |
| anneal (6) |
6 |
| iris (2) |
4 |
| anneal (7) |
6 |
| web_questionsQA (1) |
0 |
| anneal (5) |
6 |
| anneal (2) |
6 |
| anneal (17) |
6 |
| anneal (16) |
6 |
| anneal (8) |
6 |
| anneal (9) |
6 |
| anneal (10) |
6 |
| anneal (12) |
6 |
| anneal (11) |
6 |
| anneal (13) |
6 |
| TEST0f75339a9c-XOR (1) |
3 |
| anneal (18) |
6 |
| anneal (14) |
6 |
| anneal (21) |
6 |
| anneal (20) |
6 |
| TEST1721edf327-NumPy_testing_dataset (1) |
4 |
| anneal (23) |
6 |
| TEST93718efcb7-XOR (1) |
3 |
| TEST99d32b0ca5-NumPy_testing_dataset (1) |
4 |
| TEST491e2d1fcf-ModifiedWeather (1) |
2 |
| TEST8a3eef08ba-pandas_testing_dataset (3) |
0 |
| TEST8a3eef08ba-pandas_testing_dataset (2) |
3 |
| TEST95354eb682-XOR (1) |
3 |
| TESTde76aea5ac-pandas_testing_dataset (3) |
0 |
| TESTf996380d59-pandas_testing_dataset (4) |
2 |
| TESTc12a586b90-pandas_testing_dataset (1) |
2 |
| TEST8a3eef08ba-pandas_testing_dataset (1) |
2 |
| TESTef4d31c89e-ModifiedWeather (1) |
2 |
| TESTf996380d59-pandas_testing_dataset (2) |
2 |
| TEST68ee912c72-XOR (1) |
3 |
| TESTde76aea5ac-pandas_testing_dataset (2) |
3 |
| TESTf996380d59-pandas_testing_dataset (1) |
2 |
| anneal (25) |
6 |
| TESTc12a586b90-pandas_testing_dataset (3) |
1 |
| TESTc12a586b90-pandas_testing_dataset (2) |
2 |
| TESTb07cf9b053-XOR (1) |
3 |
| anneal (32) |
6 |
| anneal (28) |
6 |
| anneal (22) |
6 |
| anneal (35) |
6 |
| anneal (27) |
6 |
| anneal (30) |
6 |
| anneal (26) |
6 |
| Diabetes(scikit-learn) (1) |
11 |
| anneal (29) |
6 |
| anneal (31) |
6 |
| anneal (37) |
6 |
| Weather (1) |
2 |
| TESTf996380d59-pandas_testing_dataset (3) |
1 |
| XOR (2) |
3 |
| TESTc12a586b90-pandas_testing_dataset (4) |
2 |
| soybean (1) |
0 |
| XOR (1) |
3 |
| anneal (33) |
6 |
| Weather (2) |
2 |
| anneal (24) |
6 |
| anneal (41) |
6 |
| mfeat-karhunen (1) |
64 |
| anneal (38) |
6 |
| anneal (50) |
6 |
| TESTfeb0eb848e-pandas_testing_dataset (3) |
0 |
| anneal (40) |
6 |
| TESTa675afdd91-pandas_testing_dataset (3) |
0 |
| anneal (49) |
6 |
| anneal (46) |
6 |
| anneal (53) |
6 |
| anneal (47) |
6 |
| Weather (3) |
2 |
| XOR (3) |
3 |
| XOR (4) |
3 |
| anneal (42) |
6 |
| anneal (48) |
6 |
| anneal (51) |
6 |
| anneal (55) |
6 |
| XOR (6) |
3 |
| Weather (4) |
2 |
| Weather (6) |
2 |
| Weather (5) |
2 |
| TEST7b514fa799-NumPy_testing_dataset (1) |
4 |
| TEST9bc5bd0ae4-NumPy_testing_dataset (1) |
4 |
| TESTe4a276b0cf-pandas_testing_dataset (3) |
1 |
| TEST020be3ab32-NumPy_testing_dataset (1) |
4 |
| anneal (68) |
6 |
| Diabetes(scikit-learn) (2) |
11 |
| TEST08cae6fca0-XOR (1) |
3 |
| XOR (5) |
3 |
| TESTb327ca7de9-XOR (1) |
3 |
| TESTe551bfc9c4-XOR (1) |
3 |
| anneal (57) |
6 |
| TEST9b725c857e-pandas_testing_dataset (2) |
3 |
| anneal (58) |
6 |
| TESTd5d5774b51-XOR (1) |
3 |
| anneal (69) |
6 |
| TESTde76aea5ac-pandas_testing_dataset (1) |
2 |
| TEST5f593a2b6b-pandas_testing_dataset (1) |
2 |
| TESTb075985133-pandas_testing_dataset (1) |
2 |
| TEST9a3df79c6a-pandas_testing_dataset (1) |
2 |
| TESTb1b7df6256-XOR (1) |
3 |
| TEST9b725c857e-pandas_testing_dataset (1) |
2 |
| anneal (73) |
16 |
| TEST3af90fc5e8-pandas_testing_dataset (1) |
2 |
| TEST930682397f-pandas_testing_dataset (4) |
2 |
| TESTec5422582f-XOR (1) |
3 |
| TESTbfaff51e7c-XOR (1) |
3 |
| TESTc8d3dcd16c-ModifiedWeather (1) |
2 |
| vineyard (1) |
3 |
| anneal (56) |
6 |
| TEST8451297d53-UploadTestWithURL (1) |
4 |
| TEST9b725c857e-pandas_testing_dataset (3) |
0 |
| Diabetes(scikit-learn) (3) |
11 |
| TEST541c23ce86-UploadTestWithURL (1) |
4 |
| TEST9bde17c085-pandas_testing_dataset (2) |
3 |
| anneal (60) |
6 |
| anneal (70) |
6 |
| TESTb7b2b01540-XOR (1) |
3 |
| anneal (61) |
6 |
| anneal (64) |
6 |
| anneal (71) |
16 |
| TEST3312f9ab08-XOR (1) |
3 |
| TEST9a3df79c6a-pandas_testing_dataset (3) |
0 |
| TEST930682397f-pandas_testing_dataset (2) |
2 |
| TEST9a3df79c6a-pandas_testing_dataset (2) |
3 |
| TEST5b50932290-NumPy_testing_dataset (1) |
4 |
| TEST03c86d3a28-ModifiedWeather (1) |
2 |
| anneal (72) |
6 |
| TEST4e3eedc7d2-pandas_testing_dataset (2) |
3 |
| TEST324d7cf258-ModifiedWeather (1) |
2 |
| TEST35417de77f-XOR (1) |
3 |
| TEST3af90fc5e8-pandas_testing_dataset (4) |
2 |
| TESTb075985133-pandas_testing_dataset (2) |
2 |
| TESTa759ae6cbf-pandas_testing_dataset (2) |
2 |
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2 |
| TEST3fc0c0bd1b-XOR (1) |
3 |
| credit-g (1) |
7 |
| TEST43ba10d105-pandas_testing_dataset (4) |
2 |
| TEST930682397f-pandas_testing_dataset (3) |
1 |
| anneal (65) |
6 |
| TESTa759ae6cbf-pandas_testing_dataset (1) |
2 |
| TEST9bde17c085-pandas_testing_dataset (1) |
2 |
| TEST0c357fa5de-XOR (1) |
3 |
| TEST6ca67e6faa-ModifiedWeather (1) |
2 |
| anneal (79) |
6 |
| TESTe4a276b0cf-pandas_testing_dataset (4) |
2 |
| TEST48f3ec321a-pandas_testing_dataset (1) |
2 |
| TESTb075985133-pandas_testing_dataset (3) |
1 |
| TEST9bde17c085-pandas_testing_dataset (3) |
0 |
| XOR (7) |
3 |
| TEST930682397f-pandas_testing_dataset (1) |
2 |
| TEST4e3eedc7d2-pandas_testing_dataset (1) |
2 |
| TEST3af90fc5e8-pandas_testing_dataset (3) |
1 |
| TEST5861a96af9-UploadTestWithURL (1) |
4 |
| anneal (39) |
6 |
| Weather (7) |
2 |
| anneal (43) |
6 |
| anneal (63) |
6 |
| TEST4e3eedc7d2-pandas_testing_dataset (3) |
0 |
| anneal (62) |
6 |
| anneal (76) |
6 |
| anneal (81) |
6 |
| anneal (74) |
6 |
| TESTa759ae6cbf-pandas_testing_dataset (3) |
1 |
| TEST67f486525d-XOR (1) |
3 |
| anneal (78) |
6 |
| TESTb075985133-pandas_testing_dataset (4) |
2 |
| anneal (82) |
6 |
| Weather (8) |
2 |
| anneal (75) |
6 |
| anneal (77) |
6 |
| anneal (83) |
6 |
| Diabetes(scikit-learn) (4) |
11 |
| TEST3af90fc5e8-pandas_testing_dataset (2) |
2 |
| XOR (8) |
3 |
| TEST3556189ac9-UploadTestWithURL (1) |
4 |
| anneal (66) |
6 |
| anneal (86) |
6 |
| anneal (90) |
6 |
| anneal (85) |
6 |
| Weather (10) |
2 |
| Diabetes(scikit-learn) (5) |
11 |
| XOR (9) |
3 |
| anneal (84) |
6 |
| TEST90794b37dc-NumPy_testing_dataset (1) |
4 |
| TESTaae5145e5a-pandas_testing_dataset (1) |
2 |
| anneal (95) |
6 |
| Weather (9) |
2 |
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2 |
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6 |
| anneal (97) |
6 |
| anneal (92) |
6 |
| Weather (12) |
2 |
| TESTaae5145e5a-pandas_testing_dataset (2) |
2 |
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3 |
| XOR (11) |
3 |
| Weather (11) |
2 |
| TESTaae5145e5a-pandas_testing_dataset (4) |
2 |
| XOR (10) |
3 |
| mfeat-pixel (1) |
0 |
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6 |
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11 |
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6 |
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0 |
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6 |
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6 |
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6 |
| TEST99eb291df9-NumPy_testing_dataset (1) |
4 |
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2 |
| TEST41e4ee3472-pandas_testing_dataset (3) |
1 |
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4 |
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4 |
| hill-valley (1) |
100 |
| TEST0cc3a4aabf-pandas_testing_dataset (1) |
2 |
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3 |
| TEST107d885b90-pandas_testing_dataset (3) |
0 |
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3 |
| TEST24abc1364b-NumPy_testing_dataset (1) |
4 |
| anneal (112) |
6 |
| TESTe5ab921db9-pandas_testing_dataset (3) |
0 |
| anneal (93) |
6 |
| TESTa70326ee04-pandas_testing_dataset (3) |
1 |
| anneal (115) |
6 |
| TEST5087cf3992-pandas_testing_dataset (3) |
1 |
| TESTde22fbf900-ModifiedWeather (1) |
2 |
| TEST300949fc4c-XOR (1) |
3 |
| TESTe5ab921db9-pandas_testing_dataset (2) |
3 |
| TESTd43f0f6683-pandas_testing_dataset (3) |
1 |
| TESTd43f0f6683-pandas_testing_dataset (1) |
2 |
| anneal (110) |
6 |
| anneal (124) |
6 |
| TESTe7d3072a9e-pandas_testing_dataset (3) |
0 |
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2 |
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2 |
| TEST5c956d87a7-XOR (1) |
3 |
| TESTd595e0f71b-pandas_testing_dataset (1) |
2 |
| TESTd43f0f6683-pandas_testing_dataset (2) |
2 |
| TEST5087cf3992-pandas_testing_dataset (1) |
2 |
| anneal (113) |
6 |
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2 |
| anneal (99) |
6 |
| anneal (88) |
6 |
| TEST06657cce0d-ModifiedWeather (1) |
2 |
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3 |
| TEST9c5326e45b-UploadTestWithURL (1) |
4 |
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6 |
| TEST393d571ed9-XOR (1) |
3 |
| anneal (119) |
6 |
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16 |
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2 |
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2 |
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2 |
| TESTe7d3072a9e-pandas_testing_dataset (1) |
2 |
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2 |
| XOR (13) |
3 |
| TESTf267503cca-XOR (1) |
3 |
| XOR (15) |
3 |
| anneal (111) |
6 |
| Diabetes(scikit-learn) (8) |
11 |
| anneal (125) |
6 |
| TESTa70326ee04-pandas_testing_dataset (2) |
2 |
| anneal (114) |
6 |
| TEST534813403d-XOR (1) |
3 |
| Weather (16) |
2 |
| TEST104cefcf93-XOR (1) |
3 |
| TESTd2ce00f39d-UploadTestWithURL (1) |
4 |
| TEST44ce59e507-UploadTestWithURL (1) |
4 |
| TEST41e4ee3472-pandas_testing_dataset (1) |
2 |
| Weather (15) |
2 |
| TEST107d885b90-pandas_testing_dataset (2) |
3 |
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4 |
| anneal (134) |
6 |
| TEST69f067a100-pandas_testing_dataset (3) |
0 |
| TEST6be6740770-XOR (1) |
3 |
| TEST98460d6c29-NumPy_testing_dataset (1) |
4 |
| TEST702c23e8f3-NumPy_testing_dataset (1) |
4 |
| TEST13f574f33c-ModifiedWeather (1) |
2 |
| TEST8082298a9f-pandas_testing_dataset (2) |
2 |
| anneal (127) |
6 |
| anneal (128) |
6 |
| TEST8b50f94dd0-pandas_testing_dataset (1) |
2 |
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3 |
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2 |
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3 |
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2 |
| TEST8b50f94dd0-pandas_testing_dataset (2) |
3 |
| Diabetes(scikit-learn) (10) |
11 |
| TEST68e83a7f94-pandas_testing_dataset (3) |
0 |
| TESTf835401612-pandas_testing_dataset (3) |
0 |
| TESTaeab31689e-UploadTestWithURL (1) |
4 |
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6 |
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2 |
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6 |
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3 |
| anneal (131) |
6 |
| anneal (121) |
6 |
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6 |
| anneal (133) |
6 |
| XOR (12) |
3 |
| TESTb9afa86415-pandas_testing_dataset (3) |
1 |
| TEST8082298a9f-pandas_testing_dataset (1) |
2 |
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6 |
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2 |
| anneal (143) |
6 |
| Weather (19) |
2 |
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2 |
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3 |
| TESTf24f2f9da8-NumPy_testing_dataset (1) |
4 |
| TESTc04561a900-XOR (1) |
3 |
| TEST17e6b95852-NumPy_testing_dataset (1) |
4 |
| one-hundred-plants-shape (1) |
64 |
| TEST41e4ee3472-pandas_testing_dataset (2) |
2 |
| TESTf835401612-pandas_testing_dataset (2) |
3 |
| TEST65d4158d00-pandas_testing_dataset (1) |
2 |
| Bioresponse (1) |
1776 |
| TEST69f067a100-pandas_testing_dataset (1) |
2 |
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3 |
| anneal (146) |
6 |
| anneal (145) |
6 |
| cjs (3) |
31 |
| anneal (105) |
6 |
| TESTa7f4a278b1-pandas_testing_dataset (1) |
2 |
| XOR (19) |
3 |
| TEST65d4158d00-pandas_testing_dataset (3) |
1 |
| anneal (138) |
6 |
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6 |
| Diabetes(scikit-learn) (11) |
11 |
| TESTb9afa86415-pandas_testing_dataset (1) |
2 |
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3 |
| TEST65d4158d00-pandas_testing_dataset (2) |
2 |
| TESTe31c18ad94-XOR (1) |
3 |
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1 |
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2 |
| TESTa7f4a278b1-pandas_testing_dataset (2) |
2 |
| TEST0380554bf7-pandas_testing_dataset (1) |
2 |
| TEST7a1e9bfee8-UploadTestWithURL (1) |
4 |
| XOR (21) |
3 |
| anneal (120) |
6 |
| anneal (130) |
6 |
| TEST5f324b2a59-pandas_testing_dataset (3) |
0 |
| TESTa70326ee04-pandas_testing_dataset (1) |
2 |
| XOR (14) |
3 |
| TEST0032b11fc5-XOR (1) |
3 |
| anneal (140) |
6 |
| anneal (102) |
6 |
| anneal (136) |
6 |
| anneal (139) |
6 |
| TEST0817090897-pandas_testing_dataset (3) |
0 |
| TEST8082298a9f-pandas_testing_dataset (4) |
2 |
| TESTad4e03ac11-XOR (1) |
3 |
| TEST0817090897-pandas_testing_dataset (2) |
3 |
| TEST2abc4a67a5-XOR (1) |
3 |
| anneal (149) |
6 |
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2 |
| Weather (23) |
2 |
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6 |
| anneal (157) |
6 |
| anneal (126) |
6 |
| TEST0817090897-pandas_testing_dataset (1) |
2 |
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2 |
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3 |
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6 |
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2 |
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6 |
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6 |
| anneal (162) |
6 |
| TESTaae5145e5a-pandas_testing_dataset (3) |
1 |
| Weather (21) |
2 |
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3 |
| TEST2aa7f500a9-pandas_testing_dataset (1) |
2 |
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2 |
| TEST5f324b2a59-pandas_testing_dataset (1) |
2 |
| TESTb9afa86415-pandas_testing_dataset (4) |
2 |
| TEST0380554bf7-pandas_testing_dataset (3) |
1 |
| anneal (156) |
6 |
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6 |
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6 |
| anneal (116) |
16 |
| XOR (22) |
3 |
| TESTf8293d7a08-pandas_testing_dataset (3) |
0 |
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1 |
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3 |
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3 |
| TEST468d7bc5fb-UploadTestWithURL (1) |
4 |
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6 |
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6 |
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16 |
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2 |
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2 |
| Weather (13) |
2 |
| TEST8b50f94dd0-pandas_testing_dataset (3) |
0 |
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3 |
| XOR (18) |
3 |
| XOR (20) |
3 |
| anneal (144) |
6 |
| anneal (154) |
6 |
| TEST65d4158d00-pandas_testing_dataset (4) |
2 |
| Weather (18) |
2 |
| Weather (20) |
2 |
| TEST5495fa0b29-ModifiedWeather (1) |
2 |
| TESTf835401612-pandas_testing_dataset (1) |
2 |
| Diabetes(scikit-learn) (7) |
11 |
| Diabetes(scikit-learn) (9) |
11 |
| Diabetes(scikit-learn) (12) |
11 |
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3 |
| XOR (23) |
3 |
| anneal (158) |
6 |
| anneal (118) |
6 |
| anneal (109) |
6 |
| anneal (155) |
6 |
| anneal (164) |
6 |
| Weather (22) |
2 |
| TESTb9afa86415-pandas_testing_dataset (2) |
2 |
| semeion (1) |
256 |
| synthetic_control (1) |
60 |
| gina_agnostic (1) |
970 |
| MagicTelescope (1) |
10 |
| one-hundred-plants-texture (1) |
64 |
| spambase (1) |
57 |
| cnae-9 (1) |
856 |
| har (1) |
561 |
| cylinder-bands (2) |
18 |
| anneal (67) |
6 |
| anneal (165) |
6 |
| anneal (166) |
6 |
| anneal (170) |
6 |
| anneal (171) |
6 |
| Weather (25) |
2 |
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3 |
| Weather (26) |
2 |
| anneal (169) |
6 |
| anneal (167) |
6 |
| anneal (172) |
6 |
| Diabetes(scikit-learn) (13) |
11 |
| XOR (25) |
3 |
| analcatdata_authorship (1) |
70 |
| climate-model-simulation-crashes (1) |
20 |
| wdbc (1) |
30 |
| Amazon_employee_access (1) |
0 |
| GesturePhaseSegmentationProcessed (1) |
32 |
| pol (1) |
49 |
| steel-plates-fault (1) |
33 |
| triazines (1) |
61 |
| cardiotocography (1) |
35 |
| PhishingWebsites (1) |
0 |
| satimage (1) |
36 |
| ada_agnostic (1) |
48 |
| anneal (177) |
6 |
| anneal (183) |
6 |
| anneal (174) |
6 |
| Weather (29) |
2 |
| Diabetes(scikit-learn) (15) |
11 |
| Weather (28) |
2 |
| anneal (189) |
6 |
| Diabetes(scikit-learn) (14) |
11 |
| anneal (175) |
6 |
| Weather (27) |
2 |
| anneal (186) |
6 |
| anneal (187) |
6 |
| anneal (179) |
6 |
| anneal (178) |
6 |
| XOR (28) |
3 |
| XOR (30) |
3 |
| XOR (27) |
3 |
| anneal (182) |
6 |
| anneal (173) |
6 |
| anneal (184) |
6 |
| anneal (188) |
6 |
| anneal (181) |
6 |
| Weather (30) |
2 |
| XOR (29) |
3 |
| scene (1) |
294 |
| qsar-biodeg (1) |
41 |
| texture (1) |
40 |
| Click_prediction_small (5) |
9 |
| ozone-level-8hr (1) |
72 |
| jm1 (1) |
21 |
| wall-robot-navigation (1) |
24 |
| anneal (192) |
6 |
| gas-drift (1) |
128 |
| madelon (1) |
500 |
| UNIX_user_data (1) |
1 |
| mbagrade (1) |
2 |
| wisconsin (1) |
33 |
| sleep (1) |
8 |
| mozilla4 (1) |
5 |
| tamilnadu-electricity (1) |
2 |
| kc1 (1) |
21 |
| splice (1) |
0 |
| artificial-characters (1) |
7 |
| electricity (1) |
7 |
| one-hundred-plants-margin (1) |
64 |
| anneal (202) |
6 |
| Weather (36) |
2 |
| anneal (190) |
6 |
| XOR (31) |
3 |
| anneal (193) |
6 |
| anneal (211) |
6 |
| anneal (201) |
6 |
| anneal (204) |
6 |
| Weather (34) |
2 |
| Diabetes(scikit-learn) (16) |
11 |
| XOR (33) |
3 |
| anneal (206) |
6 |
| anneal (209) |
6 |
| anneal (212) |
6 |
| anneal (216) |
6 |
| XOR (32) |
3 |
| Weather (35) |
2 |
| Weather (32) |
2 |
| Diabetes(scikit-learn) (17) |
11 |
| XOR (34) |
3 |
| XOR (36) |
3 |
| anneal (199) |
6 |
| Weather (33) |
2 |
| anneal (191) |
6 |
| anneal (198) |
6 |
| anneal (196) |
6 |
| anneal (197) |
6 |
| Diabetes(scikit-learn) (18) |
11 |
| XOR (35) |
3 |
| detroit (1) |
14 |
| anneal (194) |
6 |
| anneal (226) |
6 |
| XOR (38) |
3 |
| Weather (39) |
2 |
| XOR (40) |
3 |
| XOR (39) |
3 |
| Diabetes(scikit-learn) (20) |
11 |
| anneal (227) |
6 |
| anneal (217) |
6 |
| anneal (220) |
6 |
| anneal (231) |
6 |
| anneal (222) |
6 |
| anneal (205) |
6 |
| anneal (224) |
6 |
| anneal (233) |
6 |
| Weather (31) |
2 |
| anneal (210) |
6 |
| anneal (214) |
6 |
| anneal (229) |
6 |
| anneal (218) |
6 |
| anneal (232) |
6 |
| anneal (228) |
6 |
| XOR (37) |
3 |
| Weather (37) |
2 |
| Weather (38) |
2 |
| Weather (40) |
2 |
| mabbob_ela_as_2d_regression_DiagonalCMA (1) |
46 |
| anneal (200) |
6 |
| anneal (219) |
6 |
| mabbob_ela_as_2d_regression_RCobyla (1) |
46 |
| mabbob_ela_as_5d_classify (1) |
45 |
| mabbob_ela_as_2d_classify (2) |
45 |
| mabbob_ela_as_2d_regression_modcma (1) |
46 |
| mabbob_ela_as_5d_regression_DiagonalCMA (1) |
46 |
| mabbob_ela_as_5d_regression_RCobyla (1) |
46 |
| mabbob_ela_as_5d_regression_modcma (1) |
46 |
| anneal (223) |
6 |
| mabbob_ela_as_2d_classify (1) |
45 |
| mabbob_ela_as_2d_classify (3) |
45 |
| mabbob_ela_as_5d_classify (2) |
45 |
| mabbob_ela_as_2d_regression_DifferentialEvolution (1) |
46 |
| mabbob_ela_as_2d_regression_modde (1) |
46 |
| mabbob_ela_as_5d_regression_DifferentialEvolution (1) |
46 |
| mabbob_ela_as_5d_regression_modde (1) |
46 |
| Diabetes(scikit-learn) (19) |
11 |
| mfeat-factors (1) |
216 |
| mfeat-fourier (1) |
76 |
| waveform-5000 (1) |
40 |
| fourclass_scale (1) |
3 |
| cpu_act (1) |
22 |
| diabetes_numeric (1) |
3 |
| letter (1) |
16 |
| nomao (1) |
89 |
| adult (2) |
6 |
| anneal (234) |
6 |
| anneal (236) |
6 |
| anneal (235) |
6 |
| anneal (240) |
6 |
| anneal (241) |
6 |
| anneal (238) |
6 |
| Diabetes(scikit-learn) (21) |
11 |
| Weather (41) |
2 |
| Weather (42) |
2 |
| XOR (42) |
3 |
| XOR (41) |
3 |
| anneal (239) |
6 |
| test (5) |
4 |
| test (11) |
4 |
| test (6) |
4 |
| test (12) |
4 |
| mfeat-morphological (1) |
6 |
| car (1) |
0 |
| cmc (1) |
2 |
| credit-a (1) |
6 |
| segment (1) |
19 |
| tic-tac-toe (1) |
0 |
| vehicle (1) |
18 |
| abalone (1) |
7 |
| eucalyptus (1) |
14 |
| vowel (2) |
10 |
| monks-problems-1 (1) |
0 |
| monks-problems-2 (1) |
0 |
| monks-problems-3 (1) |
0 |
| JapaneseVowels (1) |
14 |
| irish (1) |
2 |
| analcatdata_dmft (1) |
0 |
| profb (1) |
5 |
| banknote-authentication (1) |
4 |
| blood-transfusion-service-center (1) |
4 |
| phoneme (1) |
5 |
| wilt (1) |
5 |
| dresses-sales (2) |
1 |
| LED-display-domain-7digit (1) |
7 |
| Australian (3) |
14 |
| kin8nm (1) |
9 |
| cleveland (1) |
7 |
| auto_price (1) |
15 |
| autoMpg (1) |
5 |
| delta_elevators (1) |
7 |
| fruitfly (1) |
3 |
| pbc (1) |
11 |
| lowbwt (1) |
3 |
| cholesterol (1) |
7 |
| autoPrice (1) |
16 |
| mushroom (1) |
0 |
| pendigits (1) |
16 |
| sick (1) |
7 |
| isolet (1) |
617 |
| sylva_agnostic (1) |
216 |
| pc1 (1) |
21 |
| musk (1) |
166 |
| first-order-theorem-proving (1) |
51 |
| ilpd (1) |
9 |
| micro-mass (2) |
1300 |
| bolts (1) |
7 |
| optdigits (1) |
64 |
| pc4 (1) |
37 |
| mfeat-zernike (1) |
47 |
| pc3 (1) |
37 |
| bank-marketing (1) |
7 |
| MiceProtein (1) |
77 |
| test (9) |
4 |
| test (15) |
4 |
| test (1) |
4 |
| test (10) |
4 |
| test (14) |
4 |
| test (19) |
4 |
| test (17) |
4 |
| test (21) |
4 |
| test (22) |
4 |
| test (3) |
4 |
| cloud (1) |
4 |
| pharynx (1) |
2 |
| breast-w (1) |
9 |
| test (18) |
4 |
| test (13) |
4 |
| test (16) |
4 |
| test (7) |
4 |
| test (2) |
4 |
| test (8) |
4 |
| test (23) |
4 |
| test (20) |
4 |
| test (4) |
4 |
| collins (1) |
19 |
| kc2 (1) |
21 |
| longley (1) |
7 |
| kr-vs-kp (1) |
0 |
| balance-scale (1) |
4 |
| diabetes (1) |
8 |
| quake (1) |
4 |
| iris (1) |
4 |
| anneal (1) |
6 |
| eeg-eye-state (1) |
14 |
| anneal (249) |
6 |
| anneal (256) |
6 |
| anneal (250) |
6 |
| anneal (251) |
6 |
| anneal (255) |
6 |
| anneal (254) |
6 |
| Weather (43) |
2 |
| XOR (44) |
3 |
| XOR (43) |
3 |
| Weather (44) |
2 |
| anneal (253) |
6 |
| Diabetes(scikit-learn) (22) |
11 |