Task
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 3055 Supervised Classification monks-problems-3 335 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 174.1939, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.082, root_relative_squared_error: 0.1649, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 158.03, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2639, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 170.2358, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.087, root_relative_squared_error: 0.175, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 166.6647, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3945, scimark_benchmark: 931.771, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 171.8036, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.18, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.989, kappa: 0.9775, kb_relative_information_score: 164.4404, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9893, predictive_accuracy: 0.989, prior_entropy: 0.9989, recall: 0.989, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2331, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 166.6647, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3945, scimark_benchmark: 947.1781, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 146.3032, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3295, scimark_benchmark: 936.3373, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.989, kappa: 0.9775, kb_relative_information_score: 160.7677, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9893, predictive_accuracy: 0.989, prior_entropy: 0.9989, recall: 0.989, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.2359, scimark_benchmark: 947.1781, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 174.1939, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.082, root_relative_squared_error: 0.1649, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 158.03, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2639, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 170.2358, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.087, root_relative_squared_error: 0.175, scimark_benchmark: 906.5979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 166.6647, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3945, scimark_benchmark: 908.9569, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 166.6647, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3945, scimark_benchmark: 919.3788, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 171.8036, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.18, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.989, kappa: 0.9775, kb_relative_information_score: 164.4404, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9893, predictive_accuracy: 0.989, prior_entropy: 0.9989, recall: 0.989, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2331, scimark_benchmark: 936.9595, usercpu_time_millis: 2000, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 146.3032, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3295, scimark_benchmark: 935.5664, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.989, kappa: 0.9775, kb_relative_information_score: 160.7677, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9893, predictive_accuracy: 0.989, prior_entropy: 0.9989, recall: 0.989, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.2359, scimark_benchmark: 1051.249, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 173.3355, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.1595, scimark_benchmark: 906.0979, usercpu_time_millis: 2470, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 173.3495, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.1599, scimark_benchmark: 934.695, usercpu_time_millis: 1050, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 173.3969, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0508, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1592, scimark_benchmark: 939.7241, usercpu_time_millis: 390, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 173.689, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.1593, scimark_benchmark: 914.3583, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 173.9493, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.158, scimark_benchmark: 936.7184, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 160.1144, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3463, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 160.1144, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3463, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 160.1144, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3463, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 160.1144, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3463, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 159.3151, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3454, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.246, kb_relative_information_score: -2.6664, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.1744, predictive_accuracy: 0.4176, prior_entropy: 0.9989, recall: 0.4176, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0096, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.989, kappa: 0.9775, kb_relative_information_score: 164.4404, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9893, predictive_accuracy: 0.989, prior_entropy: 0.9989, recall: 0.989, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2331, scimark_benchmark: 1317.5857, usercpu_time_millis: 1000, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.989, kappa: 0.9775, kb_relative_information_score: 160.7677, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9893, predictive_accuracy: 0.989, prior_entropy: 0.9989, recall: 0.989, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.2359, scimark_benchmark: 1316.5396, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 146.3032, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3295, scimark_benchmark: 1311.5017, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.989, kappa: 0.9775, kb_relative_information_score: 160.7677, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9893, predictive_accuracy: 0.989, prior_entropy: 0.9989, recall: 0.989, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.2359, scimark_benchmark: 1336.5541, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 118.7797, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5429, scimark_benchmark: 1321.4771, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 158.03, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2639, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 170.2358, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.087, root_relative_squared_error: 0.175, scimark_benchmark: 1321.8321, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 166.6647, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3945, scimark_benchmark: 1330.4755, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 171.8036, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.18, scimark_benchmark: 1337.7902, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9672, kappa: 0.933, kb_relative_information_score: 144.6371, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9694, predictive_accuracy: 0.967, prior_entropy: 0.9989, recall: 0.967, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3481, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 146.3032, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3295, scimark_benchmark: 1349.1517, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.989, kappa: 0.9775, kb_relative_information_score: 160.7677, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9893, predictive_accuracy: 0.989, prior_entropy: 0.9989, recall: 0.989, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.2359, scimark_benchmark: 1325.6322, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9945, kappa: 0.9887, kb_relative_information_score: 174.1939, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.9989, recall: 0.9945, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.082, root_relative_squared_error: 0.1649, scimark_benchmark: 1308.6872,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs