Task
Supervised Classification on diggle_table_a2

Supervised Classification on diggle_table_a2

Task 4283 Supervised Classification diggle_table_a2 179 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3097.1341, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, root_mean_prior_squared_error: 0.3131, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9939, kappa: 0.9931, kb_relative_information_score: 3027.9273, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.1238, recall: 0.9939, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.1239, scimark_benchmark: 934.3687, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3087.104, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0431, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9639, kappa: 0.959, kb_relative_information_score: 2836.4764, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9642, predictive_accuracy: 0.9639, prior_entropy: 3.1238, recall: 0.9639, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3081, scimark_benchmark: 927.2917, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7983, kappa: 0.7477, kb_relative_information_score: 2329.8101, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.8859, predictive_accuracy: 0.7787, prior_entropy: 3.1238, recall: 0.7787, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7083, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7983, kappa: 0.7477, kb_relative_information_score: 2329.8101, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.8859, predictive_accuracy: 0.7787, prior_entropy: 3.1238, recall: 0.7787, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7083, scimark_benchmark: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9191, kappa: 0.9082, kb_relative_information_score: 2837.5208, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9246, predictive_accuracy: 0.919, prior_entropy: 3.1238, recall: 0.919, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3957, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9945, kappa: 0.9938, kb_relative_information_score: 3022.3104, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.1238, recall: 0.9945, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1498, scimark_benchmark: 937.5117, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3097.1341, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, root_mean_prior_squared_error: 0.3131, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9939, kappa: 0.9931, kb_relative_information_score: 3027.9273, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.1238, recall: 0.9939, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.1239, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7983, kappa: 0.7477, kb_relative_information_score: 2329.8101, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.8859, predictive_accuracy: 0.7787, prior_entropy: 3.1238, recall: 0.7787, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7083, scimark_benchmark: 927.2882, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7983, kappa: 0.7477, kb_relative_information_score: 2329.8101, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.8859, predictive_accuracy: 0.7787, prior_entropy: 3.1238, recall: 0.7787, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7083, scimark_benchmark: 906.0979, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3087.104, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0431, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9945, kappa: 0.9938, kb_relative_information_score: 3022.3104, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.1238, recall: 0.9945, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1498, scimark_benchmark: 936.9595, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2952.2207, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9681, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.2356, scimark_benchmark: 904.5548, usercpu_time_millis: 1450, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9705, kappa: 0.9667, kb_relative_information_score: 2952.2565, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.971, predictive_accuracy: 0.9706, prior_entropy: 3.1238, recall: 0.9706, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.2366, scimark_benchmark: 933.4823, usercpu_time_millis: 550, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9683, kappa: 0.9642, kb_relative_information_score: 2951.9744, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9687, predictive_accuracy: 0.9684, prior_entropy: 3.1238, recall: 0.9684, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.075, root_relative_squared_error: 0.2395, scimark_benchmark: 938.8535, usercpu_time_millis: 310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.965, kappa: 0.9605, kb_relative_information_score: 2948.7632, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9656, predictive_accuracy: 0.9652, prior_entropy: 3.1238, recall: 0.9652, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2437, scimark_benchmark: 945.2015, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9673, kappa: 0.963, kb_relative_information_score: 2944.1757, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9677, predictive_accuracy: 0.9674, prior_entropy: 3.1238, recall: 0.9674, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.2541, scimark_benchmark: 930.5033, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.0309, kb_relative_information_score: 2.7382, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3131, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.1092, kappa: 0.1504, kb_relative_information_score: 981.6498, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.0692, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9309, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.1092, kappa: 0.1504, kb_relative_information_score: 981.6498, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.0692, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9309, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.1092, kappa: 0.1504, kb_relative_information_score: 981.6498, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.0692, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9309, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.1092, kappa: 0.1504, kb_relative_information_score: 981.6498, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.0692, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9309, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.1092, kappa: 0.1504, kb_relative_information_score: 981.6498, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.0692, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9309, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0309, kb_relative_information_score: 231.188, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.4025, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9648, kappa: 0.9601, kb_relative_information_score: 2974.2005, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9652, predictive_accuracy: 0.9648, prior_entropy: 3.1238, recall: 0.9648, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.2606, scimark_benchmark: 922.8232, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9809, kappa: 0.9784, kb_relative_information_score: 2947.308, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9813, predictive_accuracy: 0.981, prior_entropy: 3.1238, recall: 0.981, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2147, scimark_benchmark: 894.7131, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.2772, kappa: 0.2788, kb_relative_information_score: 967.462, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.3514, predictive_accuracy: 0.3716, prior_entropy: 3.1238, recall: 0.3716, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.9207, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3097.1341, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, root_mean_prior_squared_error: 0.3131, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9939, kappa: 0.9931, kb_relative_information_score: 3027.9273, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.1238, recall: 0.9939, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.1239, scimark_benchmark: 938.9926, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7983, kappa: 0.7477, kb_relative_information_score: 2329.8101, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.8859, predictive_accuracy: 0.7787, prior_entropy: 3.1238, recall: 0.7787, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7083, scimark_benchmark: 945.988, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7983, kappa: 0.7477, kb_relative_information_score: 2329.8101, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.8859, predictive_accuracy: 0.7787, prior_entropy: 3.1238, recall: 0.7787, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7083, scimark_benchmark: 945.988, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 1393.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 1345.0034, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9945, kappa: 0.9938, kb_relative_information_score: 3022.3104, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.1238, recall: 0.9945, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1498, scimark_benchmark: 1303.9481, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3097.1341, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, root_mean_prior_squared_error: 0.3131, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7983, kappa: 0.7477, kb_relative_information_score: 2329.8101, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.8859, predictive_accuracy: 0.7787, prior_entropy: 3.1238, recall: 0.7787, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7083, scimark_benchmark: 1360.6367, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 1336.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9639, kappa: 0.959, kb_relative_information_score: 2836.4764, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9642, predictive_accuracy: 0.9639, prior_entropy: 3.1238, recall: 0.9639, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3081, scimark_benchmark: 1348.2804, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9945, kappa: 0.9938, kb_relative_information_score: 3022.3104, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.1238, recall: 0.9945, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1498, scimark_benchmark: 1370.3901, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9945, kappa: 0.9938, kb_relative_information_score: 3022.3104, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.1238, recall: 0.9945, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1498, scimark_benchmark: 1347.993, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9639, kappa: 0.959, kb_relative_information_score: 2836.4764, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9642, predictive_accuracy: 0.9639, prior_entropy: 3.1238, recall: 0.9639, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3081, scimark_benchmark: 940.3347, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9945, kappa: 0.9938, kb_relative_information_score: 3022.3104, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.1238, recall: 0.9945, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1498, scimark_benchmark: 942.9708, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9191, kappa: 0.9082, kb_relative_information_score: 2837.5208, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9246, predictive_accuracy: 0.919, prior_entropy: 3.1238, recall: 0.919, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3957, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9639, kappa: 0.959, kb_relative_information_score: 2836.4764, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9642, predictive_accuracy: 0.9639, prior_entropy: 3.1238, recall: 0.9639, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3081, scimark_benchmark: 1288.1375, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9676, kappa: 0.9634, kb_relative_information_score: 2980.0972, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1961, number_of_instances: 3100, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2509, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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