| anneal (3) |
898 |
| anneal (4) |
898 |
| iris-challenge (1) |
150 |
| anneal (6) |
898 |
| iris (2) |
150 |
| anneal (7) |
898 |
| web_questionsQA (1) |
5810 |
| anneal (5) |
898 |
| anneal (2) |
898 |
| anneal (17) |
898 |
| anneal (16) |
898 |
| anneal (8) |
898 |
| anneal (9) |
898 |
| anneal (10) |
898 |
| anneal (12) |
898 |
| anneal (11) |
898 |
| anneal (13) |
898 |
| TEST0f75339a9c-XOR (1) |
4 |
| anneal (18) |
898 |
| anneal (14) |
898 |
| anneal (21) |
898 |
| anneal (20) |
898 |
| TEST1721edf327-NumPy_testing_dataset (1) |
3 |
| anneal (23) |
898 |
| TEST93718efcb7-XOR (1) |
4 |
| TEST99d32b0ca5-NumPy_testing_dataset (1) |
3 |
| TEST491e2d1fcf-ModifiedWeather (1) |
14 |
| TEST8a3eef08ba-pandas_testing_dataset (3) |
5 |
| TEST8a3eef08ba-pandas_testing_dataset (2) |
4 |
| TEST95354eb682-XOR (1) |
4 |
| TESTde76aea5ac-pandas_testing_dataset (3) |
5 |
| TESTf996380d59-pandas_testing_dataset (4) |
5 |
| TESTc12a586b90-pandas_testing_dataset (1) |
5 |
| TEST8a3eef08ba-pandas_testing_dataset (1) |
5 |
| TESTef4d31c89e-ModifiedWeather (1) |
14 |
| TESTf996380d59-pandas_testing_dataset (2) |
5 |
| TEST68ee912c72-XOR (1) |
4 |
| TESTde76aea5ac-pandas_testing_dataset (2) |
4 |
| TESTf996380d59-pandas_testing_dataset (1) |
5 |
| anneal (25) |
898 |
| TESTc12a586b90-pandas_testing_dataset (3) |
5 |
| TESTc12a586b90-pandas_testing_dataset (2) |
5 |
| TESTb07cf9b053-XOR (1) |
4 |
| anneal (32) |
898 |
| anneal (28) |
898 |
| anneal (22) |
898 |
| anneal (35) |
898 |
| anneal (27) |
898 |
| anneal (30) |
898 |
| anneal (26) |
898 |
| Diabetes(scikit-learn) (1) |
442 |
| anneal (29) |
898 |
| anneal (31) |
898 |
| anneal (37) |
898 |
| Weather (1) |
14 |
| TESTf996380d59-pandas_testing_dataset (3) |
5 |
| XOR (2) |
4 |
| TESTc12a586b90-pandas_testing_dataset (4) |
5 |
| soybean (1) |
683 |
| XOR (1) |
4 |
| anneal (33) |
898 |
| Weather (2) |
14 |
| anneal (24) |
898 |
| anneal (41) |
898 |
| mfeat-karhunen (1) |
2000 |
| anneal (38) |
898 |
| anneal (50) |
898 |
| TESTfeb0eb848e-pandas_testing_dataset (3) |
5 |
| anneal (40) |
898 |
| TESTa675afdd91-pandas_testing_dataset (3) |
5 |
| anneal (49) |
898 |
| anneal (46) |
898 |
| anneal (53) |
898 |
| anneal (47) |
898 |
| Weather (3) |
14 |
| XOR (3) |
4 |
| XOR (4) |
4 |
| anneal (42) |
898 |
| anneal (48) |
898 |
| anneal (51) |
898 |
| anneal (55) |
898 |
| XOR (6) |
4 |
| Weather (4) |
14 |
| Weather (6) |
14 |
| Weather (5) |
14 |
| TEST7b514fa799-NumPy_testing_dataset (1) |
3 |
| TEST9bc5bd0ae4-NumPy_testing_dataset (1) |
3 |
| TESTe4a276b0cf-pandas_testing_dataset (3) |
5 |
| TEST020be3ab32-NumPy_testing_dataset (1) |
3 |
| anneal (68) |
898 |
| Diabetes(scikit-learn) (2) |
442 |
| TEST08cae6fca0-XOR (1) |
4 |
| XOR (5) |
4 |
| TESTb327ca7de9-XOR (1) |
4 |
| TESTe551bfc9c4-XOR (1) |
4 |
| anneal (57) |
898 |
| TEST9b725c857e-pandas_testing_dataset (2) |
4 |
| anneal (58) |
898 |
| TESTd5d5774b51-XOR (1) |
4 |
| anneal (69) |
898 |
| TESTde76aea5ac-pandas_testing_dataset (1) |
5 |
| TEST5f593a2b6b-pandas_testing_dataset (1) |
5 |
| TESTb075985133-pandas_testing_dataset (1) |
5 |
| TEST9a3df79c6a-pandas_testing_dataset (1) |
5 |
| TESTb1b7df6256-XOR (1) |
4 |
| TEST9b725c857e-pandas_testing_dataset (1) |
5 |
| anneal (73) |
20000 |
| TEST3af90fc5e8-pandas_testing_dataset (1) |
5 |
| TEST930682397f-pandas_testing_dataset (4) |
5 |
| TESTec5422582f-XOR (1) |
4 |
| TESTbfaff51e7c-XOR (1) |
4 |
| TESTc8d3dcd16c-ModifiedWeather (1) |
14 |
| vineyard (1) |
52 |
| anneal (56) |
898 |
| TEST8451297d53-UploadTestWithURL (1) |
150 |
| TEST9b725c857e-pandas_testing_dataset (3) |
5 |
| Diabetes(scikit-learn) (3) |
442 |
| TEST541c23ce86-UploadTestWithURL (1) |
150 |
| TEST9bde17c085-pandas_testing_dataset (2) |
4 |
| anneal (60) |
898 |
| anneal (70) |
898 |
| TESTb7b2b01540-XOR (1) |
4 |
| anneal (61) |
898 |
| anneal (64) |
898 |
| anneal (71) |
20000 |
| TEST3312f9ab08-XOR (1) |
4 |
| TEST9a3df79c6a-pandas_testing_dataset (3) |
5 |
| TEST930682397f-pandas_testing_dataset (2) |
5 |
| TEST9a3df79c6a-pandas_testing_dataset (2) |
4 |
| TEST5b50932290-NumPy_testing_dataset (1) |
3 |
| TEST03c86d3a28-ModifiedWeather (1) |
14 |
| anneal (72) |
898 |
| TEST4e3eedc7d2-pandas_testing_dataset (2) |
4 |
| TEST324d7cf258-ModifiedWeather (1) |
14 |
| TEST35417de77f-XOR (1) |
4 |
| TEST3af90fc5e8-pandas_testing_dataset (4) |
5 |
| TESTb075985133-pandas_testing_dataset (2) |
5 |
| TESTa759ae6cbf-pandas_testing_dataset (2) |
5 |
| TESTa759ae6cbf-pandas_testing_dataset (4) |
5 |
| TEST3fc0c0bd1b-XOR (1) |
4 |
| credit-g (1) |
1000 |
| TEST43ba10d105-pandas_testing_dataset (4) |
5 |
| TEST930682397f-pandas_testing_dataset (3) |
5 |
| anneal (65) |
898 |
| TESTa759ae6cbf-pandas_testing_dataset (1) |
5 |
| TEST9bde17c085-pandas_testing_dataset (1) |
5 |
| TEST0c357fa5de-XOR (1) |
4 |
| TEST6ca67e6faa-ModifiedWeather (1) |
14 |
| anneal (79) |
898 |
| TESTe4a276b0cf-pandas_testing_dataset (4) |
5 |
| TEST48f3ec321a-pandas_testing_dataset (1) |
5 |
| TESTb075985133-pandas_testing_dataset (3) |
5 |
| TEST9bde17c085-pandas_testing_dataset (3) |
5 |
| XOR (7) |
4 |
| TEST930682397f-pandas_testing_dataset (1) |
5 |
| TEST4e3eedc7d2-pandas_testing_dataset (1) |
5 |
| TEST3af90fc5e8-pandas_testing_dataset (3) |
5 |
| TEST5861a96af9-UploadTestWithURL (1) |
150 |
| anneal (39) |
898 |
| Weather (7) |
14 |
| anneal (43) |
898 |
| anneal (63) |
898 |
| TEST4e3eedc7d2-pandas_testing_dataset (3) |
5 |
| anneal (62) |
898 |
| anneal (76) |
898 |
| anneal (81) |
898 |
| anneal (74) |
898 |
| TESTa759ae6cbf-pandas_testing_dataset (3) |
5 |
| TEST67f486525d-XOR (1) |
4 |
| anneal (78) |
898 |
| TESTb075985133-pandas_testing_dataset (4) |
5 |
| anneal (82) |
898 |
| Weather (8) |
14 |
| anneal (75) |
898 |
| anneal (77) |
898 |
| anneal (83) |
898 |
| Diabetes(scikit-learn) (4) |
442 |
| TEST3af90fc5e8-pandas_testing_dataset (2) |
5 |
| XOR (8) |
4 |
| TEST3556189ac9-UploadTestWithURL (1) |
150 |
| anneal (66) |
898 |
| anneal (86) |
898 |
| anneal (90) |
898 |
| anneal (85) |
898 |
| Weather (10) |
14 |
| Diabetes(scikit-learn) (5) |
442 |
| XOR (9) |
4 |
| anneal (84) |
898 |
| TEST90794b37dc-NumPy_testing_dataset (1) |
3 |
| TESTaae5145e5a-pandas_testing_dataset (1) |
5 |
| anneal (95) |
898 |
| Weather (9) |
14 |
| TEST659b6910a4-ModifiedWeather (1) |
14 |
| anneal (100) |
898 |
| anneal (97) |
898 |
| anneal (92) |
898 |
| Weather (12) |
14 |
| TESTaae5145e5a-pandas_testing_dataset (2) |
5 |
| TEST4f5a60c6fe-XOR (1) |
4 |
| XOR (11) |
4 |
| Weather (11) |
14 |
| TESTaae5145e5a-pandas_testing_dataset (4) |
5 |
| XOR (10) |
4 |
| mfeat-pixel (1) |
2000 |
| anneal (103) |
898 |
| Diabetes(scikit-learn) (6) |
442 |
| anneal (89) |
898 |
| TESTd595e0f71b-pandas_testing_dataset (3) |
5 |
| anneal (101) |
898 |
| anneal (104) |
898 |
| anneal (107) |
898 |
| TEST99eb291df9-NumPy_testing_dataset (1) |
3 |
| TEST41e4ee3472-pandas_testing_dataset (4) |
5 |
| TEST41e4ee3472-pandas_testing_dataset (3) |
5 |
| TEST843b864412-NumPy_testing_dataset (1) |
3 |
| TESTa568b3d650-NumPy_testing_dataset (1) |
3 |
| hill-valley (1) |
1212 |
| TEST0cc3a4aabf-pandas_testing_dataset (1) |
5 |
| TEST7385da85d0-XOR (1) |
4 |
| TEST107d885b90-pandas_testing_dataset (3) |
5 |
| TESTd595e0f71b-pandas_testing_dataset (2) |
4 |
| TEST24abc1364b-NumPy_testing_dataset (1) |
3 |
| anneal (112) |
898 |
| TESTe5ab921db9-pandas_testing_dataset (3) |
5 |
| anneal (93) |
898 |
| TESTa70326ee04-pandas_testing_dataset (3) |
5 |
| anneal (115) |
898 |
| TEST5087cf3992-pandas_testing_dataset (3) |
5 |
| TESTde22fbf900-ModifiedWeather (1) |
14 |
| TEST300949fc4c-XOR (1) |
4 |
| TESTe5ab921db9-pandas_testing_dataset (2) |
4 |
| TESTd43f0f6683-pandas_testing_dataset (3) |
5 |
| TESTd43f0f6683-pandas_testing_dataset (1) |
5 |
| anneal (110) |
898 |
| anneal (124) |
898 |
| TESTe7d3072a9e-pandas_testing_dataset (3) |
5 |
| TESTba904bcd9a-ModifiedWeather (1) |
14 |
| TEST31791bfdd8-pandas_testing_dataset (1) |
5 |
| TEST5c956d87a7-XOR (1) |
4 |
| TESTd595e0f71b-pandas_testing_dataset (1) |
5 |
| TESTd43f0f6683-pandas_testing_dataset (2) |
5 |
| TEST5087cf3992-pandas_testing_dataset (1) |
5 |
| anneal (113) |
898 |
| TESTa70326ee04-pandas_testing_dataset (4) |
5 |
| anneal (99) |
898 |
| anneal (88) |
898 |
| TEST06657cce0d-ModifiedWeather (1) |
14 |
| TESTe7d3072a9e-pandas_testing_dataset (2) |
4 |
| TEST9c5326e45b-UploadTestWithURL (1) |
150 |
| anneal (122) |
898 |
| TEST393d571ed9-XOR (1) |
4 |
| anneal (119) |
898 |
| anneal (117) |
20000 |
| TESTba19613b26-ModifiedWeather (1) |
14 |
| TESTd43f0f6683-pandas_testing_dataset (4) |
5 |
| TEST107d885b90-pandas_testing_dataset (1) |
5 |
| TESTe7d3072a9e-pandas_testing_dataset (1) |
5 |
| TEST5087cf3992-pandas_testing_dataset (4) |
5 |
| XOR (13) |
4 |
| TESTf267503cca-XOR (1) |
4 |
| XOR (15) |
4 |
| anneal (111) |
898 |
| Diabetes(scikit-learn) (8) |
442 |
| anneal (125) |
898 |
| TESTa70326ee04-pandas_testing_dataset (2) |
5 |
| anneal (114) |
898 |
| TEST534813403d-XOR (1) |
4 |
| Weather (16) |
14 |
| TEST104cefcf93-XOR (1) |
4 |
| TESTd2ce00f39d-UploadTestWithURL (1) |
150 |
| TEST44ce59e507-UploadTestWithURL (1) |
150 |
| TEST41e4ee3472-pandas_testing_dataset (1) |
5 |
| Weather (15) |
14 |
| TEST107d885b90-pandas_testing_dataset (2) |
4 |
| TEST0c944d68c6-NumPy_testing_dataset (1) |
3 |
| anneal (134) |
898 |
| TEST69f067a100-pandas_testing_dataset (3) |
5 |
| TEST6be6740770-XOR (1) |
4 |
| TEST98460d6c29-NumPy_testing_dataset (1) |
3 |
| TEST702c23e8f3-NumPy_testing_dataset (1) |
3 |
| TEST13f574f33c-ModifiedWeather (1) |
14 |
| TEST8082298a9f-pandas_testing_dataset (2) |
5 |
| anneal (127) |
898 |
| anneal (128) |
898 |
| TEST8b50f94dd0-pandas_testing_dataset (1) |
5 |
| TEST35c4267650-XOR (1) |
4 |
| TESTe5ab921db9-pandas_testing_dataset (1) |
5 |
| TEST0b00a7fd2f-XOR (1) |
4 |
| TEST0380554bf7-pandas_testing_dataset (2) |
5 |
| TEST8b50f94dd0-pandas_testing_dataset (2) |
4 |
| Diabetes(scikit-learn) (10) |
442 |
| TEST68e83a7f94-pandas_testing_dataset (3) |
5 |
| TESTf835401612-pandas_testing_dataset (3) |
5 |
| TESTaeab31689e-UploadTestWithURL (1) |
150 |
| anneal (108) |
898 |
| TEST6f4f5ea7ed-ModifiedWeather (1) |
14 |
| anneal (141) |
898 |
| TESTf8293d7a08-pandas_testing_dataset (2) |
4 |
| anneal (131) |
898 |
| anneal (121) |
898 |
| anneal (129) |
898 |
| anneal (133) |
898 |
| XOR (12) |
4 |
| TESTb9afa86415-pandas_testing_dataset (3) |
5 |
| TEST8082298a9f-pandas_testing_dataset (1) |
5 |
| anneal (142) |
898 |
| TEST5087cf3992-pandas_testing_dataset (2) |
5 |
| anneal (143) |
898 |
| Weather (19) |
14 |
| TESTed97a7a3c7-ModifiedWeather (1) |
14 |
| XOR (17) |
4 |
| TESTf24f2f9da8-NumPy_testing_dataset (1) |
3 |
| TESTc04561a900-XOR (1) |
4 |
| TEST17e6b95852-NumPy_testing_dataset (1) |
3 |
| one-hundred-plants-shape (1) |
1600 |
| TEST41e4ee3472-pandas_testing_dataset (2) |
5 |
| TESTf835401612-pandas_testing_dataset (2) |
4 |
| TEST65d4158d00-pandas_testing_dataset (1) |
5 |
| Bioresponse (1) |
3751 |
| TEST69f067a100-pandas_testing_dataset (1) |
5 |
| TEST0d33c33299-XOR (1) |
4 |
| anneal (146) |
898 |
| anneal (145) |
898 |
| cjs (3) |
2796 |
| anneal (105) |
898 |
| TESTa7f4a278b1-pandas_testing_dataset (1) |
5 |
| XOR (19) |
4 |
| TEST65d4158d00-pandas_testing_dataset (3) |
5 |
| anneal (138) |
898 |
| anneal (151) |
898 |
| Diabetes(scikit-learn) (11) |
442 |
| TESTb9afa86415-pandas_testing_dataset (1) |
5 |
| TEST69f067a100-pandas_testing_dataset (2) |
4 |
| TEST65d4158d00-pandas_testing_dataset (2) |
5 |
| TESTe31c18ad94-XOR (1) |
4 |
| TEST8082298a9f-pandas_testing_dataset (3) |
5 |
| TESTa7f4a278b1-pandas_testing_dataset (4) |
5 |
| TESTa7f4a278b1-pandas_testing_dataset (2) |
5 |
| TEST0380554bf7-pandas_testing_dataset (1) |
5 |
| TEST7a1e9bfee8-UploadTestWithURL (1) |
150 |
| XOR (21) |
4 |
| anneal (120) |
898 |
| anneal (130) |
898 |
| TEST5f324b2a59-pandas_testing_dataset (3) |
5 |
| TESTa70326ee04-pandas_testing_dataset (1) |
5 |
| XOR (14) |
4 |
| TEST0032b11fc5-XOR (1) |
4 |
| anneal (140) |
898 |
| anneal (102) |
898 |
| anneal (136) |
898 |
| anneal (139) |
898 |
| TEST0817090897-pandas_testing_dataset (3) |
5 |
| TEST8082298a9f-pandas_testing_dataset (4) |
5 |
| TESTad4e03ac11-XOR (1) |
4 |
| TEST0817090897-pandas_testing_dataset (2) |
4 |
| TEST2abc4a67a5-XOR (1) |
4 |
| anneal (149) |
898 |
| TEST11a33fb394-ModifiedWeather (1) |
14 |
| Weather (23) |
14 |
| anneal (159) |
898 |
| anneal (157) |
898 |
| anneal (126) |
898 |
| TEST0817090897-pandas_testing_dataset (1) |
5 |
| TEST0380554bf7-pandas_testing_dataset (4) |
5 |
| TEST3ee36e8050-XOR (1) |
4 |
| anneal (137) |
898 |
| Weather (24) |
14 |
| anneal (148) |
898 |
| anneal (94) |
898 |
| anneal (162) |
898 |
| TESTaae5145e5a-pandas_testing_dataset (3) |
5 |
| Weather (21) |
14 |
| TEST5f324b2a59-pandas_testing_dataset (2) |
4 |
| TEST2aa7f500a9-pandas_testing_dataset (1) |
5 |
| TESTf8293d7a08-pandas_testing_dataset (1) |
5 |
| TEST5f324b2a59-pandas_testing_dataset (1) |
5 |
| TESTb9afa86415-pandas_testing_dataset (4) |
5 |
| TEST0380554bf7-pandas_testing_dataset (3) |
5 |
| anneal (156) |
898 |
| anneal (135) |
898 |
| anneal (150) |
898 |
| anneal (116) |
20000 |
| XOR (22) |
4 |
| TESTf8293d7a08-pandas_testing_dataset (3) |
5 |
| TESTa7f4a278b1-pandas_testing_dataset (3) |
5 |
| TEST2c8d16b5fc-XOR (1) |
4 |
| XOR (16) |
4 |
| TEST468d7bc5fb-UploadTestWithURL (1) |
150 |
| anneal (160) |
898 |
| anneal (153) |
898 |
| anneal (147) |
20000 |
| Weather (14) |
14 |
| Weather (17) |
14 |
| Weather (13) |
14 |
| TEST8b50f94dd0-pandas_testing_dataset (3) |
5 |
| XOR (24) |
4 |
| XOR (18) |
4 |
| XOR (20) |
4 |
| anneal (144) |
898 |
| anneal (154) |
898 |
| TEST65d4158d00-pandas_testing_dataset (4) |
5 |
| Weather (18) |
14 |
| Weather (20) |
14 |
| TEST5495fa0b29-ModifiedWeather (1) |
14 |
| TESTf835401612-pandas_testing_dataset (1) |
5 |
| Diabetes(scikit-learn) (7) |
442 |
| Diabetes(scikit-learn) (9) |
442 |
| Diabetes(scikit-learn) (12) |
442 |
| TESTe58a794a8e-XOR (1) |
4 |
| XOR (23) |
4 |
| anneal (158) |
898 |
| anneal (118) |
898 |
| anneal (109) |
898 |
| anneal (155) |
898 |
| anneal (164) |
898 |
| Weather (22) |
14 |
| TESTb9afa86415-pandas_testing_dataset (2) |
5 |
| semeion (1) |
1593 |
| synthetic_control (1) |
600 |
| gina_agnostic (1) |
3468 |
| MagicTelescope (1) |
19020 |
| one-hundred-plants-texture (1) |
1599 |
| spambase (1) |
4601 |
| cnae-9 (1) |
1080 |
| har (1) |
10299 |
| cylinder-bands (2) |
540 |
| anneal (67) |
898 |
| anneal (165) |
898 |
| anneal (166) |
898 |
| anneal (170) |
898 |
| anneal (171) |
898 |
| Weather (25) |
14 |
| XOR (26) |
4 |
| Weather (26) |
14 |
| anneal (169) |
898 |
| anneal (167) |
898 |
| anneal (172) |
898 |
| Diabetes(scikit-learn) (13) |
442 |
| XOR (25) |
4 |
| analcatdata_authorship (1) |
841 |
| climate-model-simulation-crashes (1) |
540 |
| wdbc (1) |
569 |
| Amazon_employee_access (1) |
32769 |
| GesturePhaseSegmentationProcessed (1) |
9873 |
| pol (1) |
15000 |
| steel-plates-fault (1) |
1941 |
| triazines (1) |
186 |
| cardiotocography (1) |
2126 |
| PhishingWebsites (1) |
11055 |
| satimage (1) |
6430 |
| ada_agnostic (1) |
4562 |
| anneal (177) |
898 |
| anneal (183) |
898 |
| anneal (174) |
898 |
| Weather (29) |
14 |
| Diabetes(scikit-learn) (15) |
442 |
| Weather (28) |
14 |
| anneal (189) |
898 |
| Diabetes(scikit-learn) (14) |
442 |
| anneal (175) |
898 |
| Weather (27) |
14 |
| anneal (186) |
898 |
| anneal (187) |
898 |
| anneal (179) |
898 |
| anneal (178) |
898 |
| XOR (28) |
4 |
| XOR (30) |
4 |
| XOR (27) |
4 |
| anneal (182) |
898 |
| anneal (173) |
898 |
| anneal (184) |
898 |
| anneal (188) |
898 |
| anneal (181) |
898 |
| Weather (30) |
14 |
| XOR (29) |
4 |
| scene (1) |
2407 |
| qsar-biodeg (1) |
1055 |
| texture (1) |
5500 |
| Click_prediction_small (5) |
39948 |
| ozone-level-8hr (1) |
2534 |
| jm1 (1) |
10885 |
| wall-robot-navigation (1) |
5456 |
| anneal (192) |
898 |
| gas-drift (1) |
13910 |
| madelon (1) |
2600 |
| UNIX_user_data (1) |
9100 |
| mbagrade (1) |
61 |
| wisconsin (1) |
194 |
| sleep (1) |
62 |
| mozilla4 (1) |
15545 |
| tamilnadu-electricity (1) |
45781 |
| kc1 (1) |
2109 |
| splice (1) |
3190 |
| artificial-characters (1) |
10218 |
| electricity (1) |
45312 |
| one-hundred-plants-margin (1) |
1600 |
| anneal (202) |
898 |
| Weather (36) |
14 |
| anneal (190) |
898 |
| XOR (31) |
4 |
| anneal (193) |
898 |
| anneal (211) |
898 |
| anneal (201) |
898 |
| anneal (204) |
898 |
| Weather (34) |
14 |
| Diabetes(scikit-learn) (16) |
442 |
| XOR (33) |
4 |
| anneal (206) |
898 |
| anneal (209) |
898 |
| anneal (212) |
898 |
| anneal (216) |
898 |
| XOR (32) |
4 |
| Weather (35) |
14 |
| Weather (32) |
14 |
| Diabetes(scikit-learn) (17) |
442 |
| XOR (34) |
4 |
| XOR (36) |
4 |
| anneal (199) |
898 |
| Weather (33) |
14 |
| anneal (191) |
898 |
| anneal (198) |
898 |
| anneal (196) |
898 |
| anneal (197) |
898 |
| Diabetes(scikit-learn) (18) |
442 |
| XOR (35) |
4 |
| detroit (1) |
13 |
| anneal (194) |
898 |
| anneal (226) |
898 |
| XOR (38) |
4 |
| Weather (39) |
14 |
| XOR (40) |
4 |
| XOR (39) |
4 |
| Diabetes(scikit-learn) (20) |
442 |
| anneal (227) |
898 |
| anneal (217) |
898 |
| anneal (220) |
898 |
| anneal (231) |
898 |
| anneal (222) |
898 |
| anneal (205) |
898 |
| anneal (224) |
898 |
| anneal (233) |
898 |
| Weather (31) |
14 |
| anneal (210) |
898 |
| anneal (214) |
898 |
| anneal (229) |
898 |
| anneal (218) |
898 |
| anneal (232) |
898 |
| anneal (228) |
898 |
| XOR (37) |
4 |
| Weather (37) |
14 |
| Weather (38) |
14 |
| Weather (40) |
14 |
| mabbob_ela_as_2d_regression_DiagonalCMA (1) |
1120 |
| anneal (200) |
898 |
| anneal (219) |
898 |
| mabbob_ela_as_2d_regression_RCobyla (1) |
1120 |
| mabbob_ela_as_5d_classify (1) |
1120 |
| mabbob_ela_as_2d_classify (2) |
1120 |
| mabbob_ela_as_2d_regression_modcma (1) |
1120 |
| mabbob_ela_as_5d_regression_DiagonalCMA (1) |
1120 |
| mabbob_ela_as_5d_regression_RCobyla (1) |
1120 |
| mabbob_ela_as_5d_regression_modcma (1) |
1120 |
| anneal (223) |
898 |
| mabbob_ela_as_2d_classify (1) |
1120 |
| mabbob_ela_as_2d_classify (3) |
1120 |
| mabbob_ela_as_5d_classify (2) |
1120 |
| mabbob_ela_as_2d_regression_DifferentialEvolution (1) |
1120 |
| mabbob_ela_as_2d_regression_modde (1) |
1120 |
| mabbob_ela_as_5d_regression_DifferentialEvolution (1) |
1120 |
| mabbob_ela_as_5d_regression_modde (1) |
1120 |
| Diabetes(scikit-learn) (19) |
442 |
| mfeat-factors (1) |
2000 |
| mfeat-fourier (1) |
2000 |
| waveform-5000 (1) |
5000 |
| fourclass_scale (1) |
862 |
| cpu_act (1) |
8192 |
| diabetes_numeric (1) |
43 |
| letter (1) |
20000 |
| nomao (1) |
34465 |
| adult (2) |
48842 |
| anneal (234) |
898 |
| anneal (236) |
898 |
| anneal (235) |
898 |
| anneal (240) |
898 |
| anneal (241) |
898 |
| anneal (238) |
898 |
| Diabetes(scikit-learn) (21) |
442 |
| Weather (41) |
14 |
| Weather (42) |
14 |
| XOR (42) |
4 |
| XOR (41) |
4 |
| anneal (239) |
898 |
| test (5) |
150 |
| test (11) |
150 |
| test (6) |
150 |
| test (12) |
150 |
| mfeat-morphological (1) |
2000 |
| car (1) |
1728 |
| cmc (1) |
1473 |
| credit-a (1) |
690 |
| segment (1) |
2310 |
| tic-tac-toe (1) |
958 |
| vehicle (1) |
846 |
| abalone (1) |
4177 |
| eucalyptus (1) |
736 |
| vowel (2) |
990 |
| monks-problems-1 (1) |
556 |
| monks-problems-2 (1) |
601 |
| monks-problems-3 (1) |
554 |
| JapaneseVowels (1) |
9961 |
| irish (1) |
500 |
| analcatdata_dmft (1) |
797 |
| profb (1) |
672 |
| banknote-authentication (1) |
1372 |
| blood-transfusion-service-center (1) |
748 |
| phoneme (1) |
5404 |
| wilt (1) |
4839 |
| dresses-sales (2) |
500 |
| LED-display-domain-7digit (1) |
500 |
| Australian (3) |
690 |
| kin8nm (1) |
8192 |
| cleveland (1) |
303 |
| auto_price (1) |
159 |
| autoMpg (1) |
398 |
| delta_elevators (1) |
9517 |
| fruitfly (1) |
125 |
| pbc (1) |
418 |
| lowbwt (1) |
189 |
| cholesterol (1) |
303 |
| autoPrice (1) |
159 |
| mushroom (1) |
8124 |
| pendigits (1) |
10992 |
| sick (1) |
3772 |
| isolet (1) |
7797 |
| sylva_agnostic (1) |
14395 |
| pc1 (1) |
1109 |
| musk (1) |
6598 |
| first-order-theorem-proving (1) |
6118 |
| ilpd (1) |
583 |
| micro-mass (2) |
571 |
| bolts (1) |
40 |
| optdigits (1) |
5620 |
| pc4 (1) |
1458 |
| mfeat-zernike (1) |
2000 |
| pc3 (1) |
1563 |
| bank-marketing (1) |
45211 |
| MiceProtein (1) |
1080 |
| test (9) |
150 |
| test (15) |
150 |
| test (1) |
150 |
| test (10) |
150 |
| test (14) |
150 |
| test (19) |
150 |
| test (17) |
150 |
| test (21) |
150 |
| test (22) |
150 |
| test (3) |
150 |
| cloud (1) |
108 |
| pharynx (1) |
195 |
| breast-w (1) |
699 |
| test (18) |
150 |
| test (13) |
150 |
| test (16) |
150 |
| test (7) |
150 |
| test (2) |
150 |
| test (8) |
150 |
| test (23) |
150 |
| test (20) |
150 |
| test (4) |
150 |
| collins (1) |
500 |
| kc2 (1) |
522 |
| longley (1) |
16 |
| kr-vs-kp (1) |
3196 |
| balance-scale (1) |
625 |
| diabetes (1) |
768 |
| quake (1) |
2178 |
| iris (1) |
150 |
| anneal (1) |
898 |
| eeg-eye-state (1) |
14980 |
| anneal (249) |
898 |
| anneal (256) |
898 |
| anneal (250) |
898 |
| anneal (251) |
898 |
| anneal (255) |
898 |
| anneal (254) |
898 |
| Weather (43) |
14 |
| XOR (44) |
4 |
| XOR (43) |
4 |
| Weather (44) |
14 |
| anneal (253) |
898 |
| Diabetes(scikit-learn) (22) |
442 |