| triazines (1) |
0 |
| anneal (8) |
100 |
| anneal (4) |
100 |
| anneal (2) |
100 |
| XOR (1) |
0 |
| Weather (1) |
0 |
| web_questionsQA (1) |
0 |
| anneal (6) |
100 |
| anneal (7) |
100 |
| Weather (2) |
0 |
| TEST381a3dd20c-NumPy_testing_dataset (1) |
0 |
| TEST9e3886e694-XOR (1) |
0 |
| iris (2) |
0 |
| anneal (12) |
100 |
| anneal (14) |
0 |
| TESTc7ba0dcb5a-XOR (1) |
0 |
| TESTed4a84a4bb-pandas_testing_dataset (2) |
0 |
| test (6) |
0 |
| TEST51ef687b9d-pandas_testing_dataset (2) |
0 |
| Diabetes(scikit-learn) (1) |
0 |
| anneal (13) |
100 |
| TESTb633b550cf-pandas_testing_dataset (1) |
0 |
| test (4) |
0 |
| TEST51ef687b9d-pandas_testing_dataset (1) |
0 |
| TESTed4a84a4bb-pandas_testing_dataset (1) |
0 |
| test (3) |
0 |
| test (1) |
0 |
| test (2) |
0 |
| TEST51ef687b9d-pandas_testing_dataset (4) |
0 |
| anneal (9) |
100 |
| TESTaf99b42041-ModifiedWeather (1) |
0 |
| XOR (2) |
0 |
| test (9) |
0 |
| anneal (17) |
100 |
| test (7) |
0 |
| TESTe216022baf-UploadTestWithURL (1) |
0 |
| iris-challenge (1) |
0 |
| TEST8facacd8dc-UploadTestWithURL (1) |
0 |
| test (10) |
0 |
| test (14) |
0 |
| test (5) |
0 |
| test (13) |
0 |
| test (12) |
0 |
| TEST51ef687b9d-pandas_testing_dataset (3) |
0 |
| TESTed4a84a4bb-pandas_testing_dataset (3) |
0 |
| anneal (3) |
100 |
| anneal (23) |
100 |
| TEST0ea351d931-pandas_testing_dataset (1) |
0 |
| anneal (24) |
100 |
| anneal (18) |
100 |
| test (11) |
0 |
| test (8) |
0 |
| cpu_act (1) |
0 |
| anneal (26) |
100 |
| anneal (27) |
100 |
| anneal (39) |
100 |
| anneal (43) |
100 |
| anneal (63) |
100 |
| test (16) |
0 |
| TEST840571e677-pandas_testing_dataset (1) |
0 |
| anneal (58) |
100 |
| Weather (6) |
0 |
| anneal (62) |
100 |
| anneal (30) |
100 |
| test (24) |
0 |
| test (20) |
0 |
| anneal (66) |
100 |
| anneal (34) |
100 |
| anneal (38) |
100 |
| anneal (41) |
100 |
| Weather (3) |
0 |
| XOR (4) |
0 |
| Weather (4) |
0 |
| Weather (8) |
0 |
| test (19) |
0 |
| test (21) |
0 |
| Diabetes(scikit-learn) (3) |
0 |
| XOR (3) |
0 |
| anneal (48) |
100 |
| XOR (6) |
0 |
| test (27) |
0 |
| XOR (5) |
0 |
| bolts (1) |
0 |
| spambase (1) |
0 |
| anneal (49) |
100 |
| test (33) |
0 |
| anneal (32) |
100 |
| anneal (45) |
100 |
| anneal (16) |
100 |
| anneal (57) |
100 |
| Weather (5) |
0 |
| test (26) |
0 |
| XOR (7) |
0 |
| test (36) |
0 |
| test (23) |
0 |
| anneal (59) |
100 |
| test (28) |
0 |
| anneal (42) |
100 |
| anneal (33) |
100 |
| test (15) |
0 |
| anneal (37) |
100 |
| anneal (53) |
100 |
| anneal (25) |
100 |
| anneal (56) |
100 |
| test (39) |
0 |
| TEST2fe1e97c97-pandas_testing_dataset (1) |
0 |
| test (35) |
0 |
| test (29) |
0 |
| test (31) |
0 |
| anneal (52) |
100 |
| Diabetes(scikit-learn) (4) |
0 |
| anneal (54) |
100 |
| Weather (7) |
0 |
| test (22) |
0 |
| test (38) |
0 |
| test (32) |
0 |
| test (18) |
0 |
| Diabetes(scikit-learn) (2) |
0 |
| TESTeab2945786-NumPy_testing_dataset (1) |
0 |
| vineyard (1) |
0 |
| pol (1) |
0 |
| anneal (31) |
100 |
| Weather (9) |
0 |
| Diabetes(scikit-learn) (5) |
0 |
| TESTccda34c750-pandas_testing_dataset (1) |
0 |
| cnae-9 (1) |
0 |
| one-hundred-plants-margin (1) |
0 |
| anneal (74) |
100 |
| Weather (11) |
0 |
| anneal (61) |
100 |
| test (17) |
0 |
| TEST22dd0ebd9b-ModifiedWeather (1) |
0 |
| anneal (36) |
100 |
| test (43) |
0 |
| XOR (9) |
0 |
| anneal (89) |
100 |
| TESTee7d03de92-pandas_testing_dataset (1) |
0 |
| anneal (77) |
100 |
| anneal (84) |
100 |
| TEST76d8cfa095-pandas_testing_dataset (1) |
0 |
| XOR (10) |
0 |
| TESTaf3b61833a-NumPy_testing_dataset (1) |
0 |
| TEST9aca640b6e-NumPy_testing_dataset (1) |
0 |
| blood-transfusion-service-center (1) |
0 |
| autoMpg (1) |
1.5075376884422 |
| autoPrice (1) |
0 |
| quake (1) |
0 |
| pbc (1) |
33.971291866029 |
| TEST5f1dfbd75d-pandas_testing_dataset (1) |
0 |
| anneal (95) |
100 |
| anneal (80) |
100 |
| test (40) |
0 |
| TESTda410c34dc-pandas_testing_dataset (2) |
0 |
| TEST398fcda80b-ModifiedWeather (1) |
0 |
| TEST7e318eb969-pandas_testing_dataset (3) |
0 |
| Weather (10) |
0 |
| test (41) |
0 |
| TEST76d8cfa095-pandas_testing_dataset (3) |
0 |
| test (49) |
0 |
| Diabetes(scikit-learn) (6) |
0 |
| TESTda410c34dc-pandas_testing_dataset (3) |
0 |
| TEST5f1dfbd75d-pandas_testing_dataset (3) |
0 |
| TEST5705382a07-UploadTestWithURL (1) |
0 |
| TESTccda34c750-pandas_testing_dataset (2) |
0 |
| TEST5f1dfbd75d-pandas_testing_dataset (2) |
0 |
| XOR (14) |
0 |
| XOR (11) |
0 |
| TEST5f1dfbd75d-pandas_testing_dataset (4) |
0 |
| anneal (83) |
100 |
| TEST2fb3e3c09b-XOR (1) |
0 |
| anneal (101) |
100 |
| anneal (92) |
100 |
| anneal (75) |
100 |
| XOR (8) |
0 |
| Weather (14) |
0 |
| TESTccda34c750-pandas_testing_dataset (3) |
0 |
| test (42) |
0 |
| test (30) |
0 |
| XOR (13) |
0 |
| anneal (103) |
100 |
| Weather (12) |
0 |
| anneal (90) |
100 |
| anneal (73) |
100 |
| anneal (88) |
100 |
| TESTe2a3b91028-ModifiedWeather (1) |
0 |
| TESTf7444a8ea4-pandas_testing_dataset (3) |
0 |
| TEST07c2b360c0-pandas_testing_dataset (3) |
0 |
| TEST7e318eb969-pandas_testing_dataset (2) |
0 |
| test (47) |
0 |
| test (50) |
0 |
| TESTda410c34dc-pandas_testing_dataset (1) |
0 |
| anneal (98) |
100 |
| test (37) |
0 |
| anneal (86) |
100 |
| anneal (105) |
100 |
| anneal (87) |
100 |
| anneal (99) |
100 |
| test (44) |
0 |
| TESTcf74ef9481-XOR (1) |
0 |
| XOR (12) |
0 |
| test (51) |
0 |
| anneal (91) |
0 |
| test (46) |
0 |
| test (45) |
0 |
| test (52) |
0 |
| anneal (44) |
100 |
| anneal (79) |
100 |
| anneal (28) |
100 |
| test (48) |
0 |
| TEST7e318eb969-pandas_testing_dataset (1) |
0 |
| TESTda410c34dc-pandas_testing_dataset (4) |
0 |
| TEST07c2b360c0-pandas_testing_dataset (2) |
0 |
| TESTdcaa77be46-XOR (1) |
0 |
| TEST8eecdebbd6-XOR (1) |
0 |
| anneal (102) |
100 |
| Diabetes(scikit-learn) (7) |
0 |
| anneal (97) |
100 |
| TEST2302efba1e-XOR (1) |
0 |
| anneal (72) |
100 |
| test (34) |
0 |
| TEST07c2b360c0-pandas_testing_dataset (1) |
0 |
| Weather (13) |
0 |
| TESTc09922bc0f-XOR (1) |
0 |
| test (25) |
0 |
| TEST76d8cfa095-pandas_testing_dataset (2) |
0 |
| TEST76d8cfa095-pandas_testing_dataset (4) |
0 |
| cylinder-bands (2) |
48.703703703704 |
| diabetes_numeric (1) |
0 |
| semeion (1) |
0 |
| anneal (11) |
100 |
| anneal (106) |
100 |
| anneal (115) |
100 |
| XOR (18) |
0 |
| anneal (116) |
0 |
| anneal (113) |
100 |
| anneal (107) |
100 |
| mfeat-zernike (1) |
0 |
| Bioresponse (1) |
0 |
| kr-vs-kp (1) |
0 |
| lowbwt (1) |
0 |
| anneal (82) |
100 |
| anneal (114) |
100 |
| Diabetes(scikit-learn) (9) |
0 |
| Diabetes(scikit-learn) (8) |
0 |
| Diabetes(scikit-learn) (10) |
0 |
| credit-a (1) |
5.3623188405797 |
| anneal (119) |
100 |
| anneal (118) |
100 |
| XOR (21) |
0 |
| Weather (17) |
0 |
| Weather (21) |
0 |
| XOR (23) |
0 |
| XOR (19) |
0 |
| XOR (17) |
0 |
| XOR (16) |
0 |
| XOR (24) |
0 |
| Diabetes(scikit-learn) (11) |
0 |
| profb (1) |
99.107142857143 |
| climate-model-simulation-crashes (1) |
0 |
| pendigits (1) |
0 |
| tic-tac-toe (1) |
0 |
| abalone (1) |
0 |
| delta_elevators (1) |
0 |
| MiceProtein (1) |
48.888888888889 |
| anneal (108) |
100 |
| artificial-characters (1) |
0 |
| cloud (1) |
0 |
| mushroom (1) |
30.526834071886 |
| anneal (141) |
100 |
| Weather (18) |
0 |
| anneal (147) |
100 |
| anneal (136) |
100 |
| anneal (135) |
100 |
| anneal (122) |
100 |
| XOR (22) |
0 |
| Weather (22) |
0 |
| anneal (112) |
100 |
| XOR (29) |
0 |
| anneal (128) |
100 |
| anneal (139) |
100 |
| XOR (27) |
0 |
| eucalyptus (1) |
12.907608695652 |
| PhishingWebsites (1) |
0 |
| one-hundred-plants-shape (1) |
0 |
| cholesterol (1) |
1.980198019802 |
| texture (1) |
0 |
| fourclass_scale (1) |
0 |
| credit-g (1) |
0 |
| anneal (151) |
100 |
| anneal (132) |
100 |
| anneal (156) |
100 |
| anneal (134) |
100 |
| anneal (149) |
100 |
| Weather (16) |
0 |
| Weather (15) |
0 |
| Weather (27) |
0 |
| anneal (126) |
100 |
| anneal (167) |
100 |
| anneal (127) |
100 |
| anneal (131) |
100 |
| anneal (124) |
100 |
| Diabetes(scikit-learn) (15) |
0 |
| Diabetes(scikit-learn) (14) |
0 |
| anneal (143) |
100 |
| anneal (121) |
100 |
| anneal (146) |
100 |
| anneal (158) |
100 |
| anneal (120) |
100 |
| anneal (117) |
100 |
| Weather (24) |
0 |
| Diabetes(scikit-learn) (12) |
0 |
| XOR (31) |
0 |
| anneal (150) |
100 |
| XOR (32) |
0 |
| Weather (23) |
0 |
| anneal (160) |
100 |
| Diabetes(scikit-learn) (17) |
0 |
| anneal (155) |
100 |
| Weather (30) |
0 |
| anneal (110) |
100 |
| anneal (173) |
100 |
| Weather (20) |
0 |
| TEST569e152152-pandas_testing_dataset (2) |
0 |
| XOR (33) |
0 |
| Weather (26) |
0 |
| Weather (28) |
0 |
| XOR (15) |
0 |
| anneal (137) |
100 |
| Weather (19) |
0 |
| anneal (144) |
100 |
| XOR (25) |
0 |
| anneal (166) |
100 |
| XOR (30) |
0 |
| anneal (159) |
100 |
| anneal (161) |
100 |
| anneal (154) |
100 |
| anneal (125) |
100 |
| Weather (31) |
0 |
| Weather (34) |
0 |
| anneal (168) |
100 |
| anneal (172) |
100 |
| anneal (140) |
100 |
| anneal (129) |
100 |
| anneal (174) |
100 |
| XOR (20) |
0 |
| Weather (25) |
0 |
| Diabetes(scikit-learn) (16) |
0 |
| XOR (34) |
0 |
| XOR (28) |
0 |
| anneal (162) |
100 |
| anneal (109) |
100 |
| anneal (171) |
100 |
| anneal (164) |
100 |
| anneal (145) |
100 |
| anneal (123) |
100 |
| Weather (33) |
0 |
| Diabetes(scikit-learn) (13) |
0 |
| XOR (26) |
0 |
| anneal (152) |
100 |
| anneal (169) |
100 |
| anneal (142) |
100 |
| Weather (29) |
0 |
| Weather (32) |
0 |
| TESTd643aafd62-NumPy_testing_dataset (1) |
0 |
| TEST63cd902071-pandas_testing_dataset (2) |
0 |
| anneal (175) |
100 |
| TESTe55d2d0c3d-pandas_testing_dataset (2) |
0 |
| anneal (177) |
100 |
| TESTe55d2d0c3d-pandas_testing_dataset (3) |
0 |
| anneal (178) |
0 |
| TEST9d96ec7ade-UploadTestWithURL (1) |
0 |
| anneal (180) |
100 |
| TESTcf61db30f6-pandas_testing_dataset (1) |
0 |
| anneal (181) |
100 |
| TEST63cd902071-pandas_testing_dataset (4) |
0 |
| TEST63cd902071-pandas_testing_dataset (3) |
0 |
| TESTada3067c77-XOR (1) |
0 |
| TESTf112d7f8be-XOR (1) |
0 |
| TEST9ecb165245-UploadTestWithURL (1) |
0 |
| anneal (179) |
100 |
| TESTaebada2a36-ModifiedWeather (1) |
0 |
| TESTe55d2d0c3d-pandas_testing_dataset (1) |
0 |
| TEST63cd902071-pandas_testing_dataset (1) |
0 |
| anneal (182) |
100 |
| anneal (183) |
100 |
| anneal (184) |
100 |
| mfeat-pixel (1) |
0 |
| madelon (1) |
0 |
| cleveland (1) |
1.980198019802 |
| mfeat-karhunen (1) |
0 |
| isolet (1) |
0 |
| mozilla4 (1) |
0 |
| anneal (185) |
100 |
| Weather (35) |
0 |
| anneal (190) |
100 |
| anneal (187) |
100 |
| anneal (192) |
100 |
| anneal (191) |
100 |
| Weather (36) |
0 |
| XOR (36) |
0 |
| bank-marketing (1) |
0 |
| musk (1) |
0 |
| sylva_agnostic (1) |
0 |
| pc3 (1) |
0 |
| wisconsin (1) |
0 |
| anneal (186) |
100 |
| anneal (189) |
100 |
| Diabetes(scikit-learn) (18) |
0 |
| XOR (35) |
0 |
| NumPy_testing_dataset (1) |
0 |
| anneal (193) |
0 |
| ModifiedWeather (1) |
0 |
| XOR (37) |
0 |
| XOR (38) |
0 |
| UploadTestWithURL (1) |
0 |
| UploadTestWithURL (2) |
0 |
| anneal (195) |
100 |
| anneal (198) |
100 |
| anneal (194) |
100 |
| anneal (201) |
100 |
| Weather (38) |
0 |
| XOR (39) |
0 |
| Weather (37) |
0 |
| Diabetes(scikit-learn) (19) |
0 |
| anneal (199) |
100 |
| anneal (196) |
100 |
| anneal (200) |
100 |
| XOR (40) |
0 |
| UNIX_user_data (1) |
0 |
| anneal (176) |
100 |
| mfeat-fourier (1) |
0 |
| car (1) |
0 |
| splice (1) |
0 |
| vehicle (1) |
0 |
| electricity (1) |
0 |
| anneal (208) |
100 |
| anneal (202) |
100 |
| anneal (206) |
100 |
| Weather (39) |
0 |
| XOR (42) |
0 |
| anneal (203) |
100 |
| anneal (209) |
100 |
| anneal (207) |
100 |
| anneal (204) |
100 |
| Weather (40) |
0 |
| Diabetes(scikit-learn) (20) |
0 |
| XOR (41) |
0 |
| har (1) |
0 |
| hill-valley (1) |
0 |
| micro-mass (2) |
0 |
| detroit (1) |
0 |
| mfeat-morphological (1) |
0 |
| sick (1) |
100 |
| LED-display-domain-7digit (1) |
0 |
| scene (1) |
0 |
| auto_price (1) |
0 |
| breast-w (1) |
2.2889842632332 |
| anneal (94) |
100 |
| anneal (213) |
100 |
| anneal (215) |
100 |
| Diabetes(scikit-learn) (21) |
0 |
| Weather (42) |
0 |
| Weather (41) |
0 |
| XOR (43) |
0 |
| anneal (211) |
100 |
| anneal (210) |
100 |
| anneal (214) |
100 |
| anneal (212) |
100 |
| anneal (218) |
100 |
| XOR (44) |
0 |
| segment (1) |
0 |
| anneal (222) |
100 |
| Weather (43) |
0 |
| anneal (220) |
100 |
| XOR (46) |
0 |
| anneal (224) |
100 |
| anneal (226) |
100 |
| anneal (219) |
100 |
| Diabetes(scikit-learn) (22) |
0 |
| XOR (45) |
0 |
| anneal (221) |
100 |
| anneal (225) |
100 |
| Weather (44) |
0 |
| monks-problems-1 (1) |
0 |
| irish (1) |
6.4 |
| gina_agnostic (1) |
0 |
| MagicTelescope (1) |
0 |
| fruitfly (1) |
0 |
| cjs (3) |
99.964234620887 |
| dresses-sales (2) |
80.2 |
| jm1 (1) |
0.045934772622876 |
| mfeat-factors (1) |
0 |
| balance-scale (1) |
0 |
| optdigits (1) |
0 |
| letter (1) |
0 |
| cmc (1) |
0 |
| soybean (1) |
17.715959004392 |
| pc1 (1) |
0 |
| banknote-authentication (1) |
0 |
| cardiotocography (1) |
0 |
| gas-drift (1) |
0 |
| ilpd (1) |
0 |
| ozone-level-8hr (1) |
0 |
| phoneme (1) |
0 |
| tamilnadu-electricity (1) |
0 |
| wilt (1) |
0 |
| mbagrade (1) |
0 |
| sleep (1) |
17.741935483871 |
| vowel (2) |
0 |
| synthetic_control (1) |
0 |
| kc1 (1) |
0 |
| wall-robot-navigation (1) |
0 |
| steel-plates-fault (1) |
0 |
| Amazon_employee_access (1) |
0 |
| GesturePhaseSegmentationProcessed (1) |
0 |
| kin8nm (1) |
0 |
| qsar-biodeg (1) |
0 |
| satimage (1) |
0 |
| nomao (1) |
0 |
| Click_prediction_small (5) |
0 |
| anneal (234) |
100 |
| Diabetes(scikit-learn) (23) |
0 |
| anneal (244) |
100 |
| XOR (50) |
0 |
| anneal (228) |
100 |
| anneal (237) |
100 |
| anneal (242) |
100 |
| anneal (231) |
100 |
| Weather (47) |
0 |
| Weather (45) |
0 |
| TEST08f51af3c8-pandas_testing_dataset (1) |
0 |
| TESTa365aee568-UploadTestWithURL (1) |
0 |
| anneal (233) |
100 |
| anneal (240) |
100 |
| anneal (229) |
100 |
| TEST037907c164-pandas_testing_dataset (3) |
0 |
| TESTa540f38c2d-pandas_testing_dataset (1) |
0 |
| TESTfd496f5b4d-XOR (1) |
0 |
| TEST037907c164-pandas_testing_dataset (2) |
0 |
| XOR (47) |
0 |
| XOR (48) |
0 |
| TEST82462bce44-UploadTestWithURL (1) |
0 |
| XOR (49) |
0 |
| anneal (241) |
100 |
| anneal (227) |
100 |
| anneal (236) |
100 |
| TESTa540f38c2d-pandas_testing_dataset (4) |
0 |
| Weather (46) |
0 |
| Weather (48) |
0 |
| anneal (235) |
0 |
| TESTa540f38c2d-pandas_testing_dataset (2) |
0 |
| TESTa540f38c2d-pandas_testing_dataset (3) |
0 |
| anneal (238) |
100 |
| Diabetes(scikit-learn) (24) |
0 |
| GermanCreditModified (1) |
0 |
| GermanCreditModified (3) |
0 |
| GermanCreditModified (2) |
0 |
| TEST062fea70c5-XOR (1) |
0 |
| anneal (249) |
100 |
| Weather (50) |
0 |
| anneal (246) |
100 |
| anneal (251) |
100 |
| anneal (252) |
100 |
| anneal (247) |
100 |
| anneal (245) |
100 |
| XOR (51) |
0 |
| anneal (250) |
100 |
| Weather (49) |
0 |
| Diabetes(scikit-learn) (25) |
0 |
| XOR (52) |
0 |
| ada_agnostic (1) |
0 |
| pc4 (1) |
0 |
| first-order-theorem-proving (1) |
0 |
| one-hundred-plants-texture (1) |
0 |
| wdbc (1) |
0 |
| pharynx (1) |
1.025641025641 |
| analcatdata_dmft (1) |
0 |
| Australian (3) |
0 |
| waveform-5000 (1) |
0 |
| monks-problems-2 (1) |
0 |
| JapaneseVowels (1) |
0 |
| adult (2) |
7.4116539044265 |
| anneal (232) |
100 |
| monks-problems-3 (1) |
0 |
| analcatdata_authorship (1) |
0 |
| diabetes (1) |
0 |
| eeg-eye-state (1) |
0 |
| collins (1) |
0 |
| kc2 (1) |
0 |
| anneal (253) |
100 |
| anneal (255) |
100 |
| anneal (257) |
100 |
| anneal (260) |
100 |
| Weather (52) |
0 |
| anneal (1) |
100 |
| Diabetes(scikit-learn) (26) |
0 |
| longley (1) |
0 |
| iris (1) |
0 |
| anneal (259) |
100 |
| anneal (258) |
100 |
| XOR (54) |
0 |
| Weather (51) |
0 |
| XOR (53) |
0 |
| anneal (254) |
100 |