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Supervised Classification on fri_c3_100_50

Supervised Classification on fri_c3_100_50

Task 4287 Supervised Classification fri_c3_100_50 222 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7653, kappa: 0.5093, kb_relative_information_score: 424.4421, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7713, predictive_accuracy: 0.763, prior_entropy: 0.9597, recall: 0.763, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8637, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8045, kappa: 0.5843, kb_relative_information_score: 487.2567, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.8042, predictive_accuracy: 0.805, prior_entropy: 0.9597, recall: 0.805, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.773, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7416, kappa: 0.4508, kb_relative_information_score: 414.7562, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7412, predictive_accuracy: 0.742, prior_entropy: 0.9597, recall: 0.742, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9471, scimark_benchmark: 934.3687, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7446, kappa: 0.4503, kb_relative_information_score: 289.2562, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.753, prior_entropy: 0.9597, recall: 0.753, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8395, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.583, kappa: 0.1022, kb_relative_information_score: 78.009, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.5791, predictive_accuracy: 0.597, prior_entropy: 0.9597, recall: 0.597, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.0761, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7618, kappa: 0.4993, kb_relative_information_score: 442.9029, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7653, predictive_accuracy: 0.76, prior_entropy: 0.9597, recall: 0.76, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.907, scimark_benchmark: 927.2917, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5153, kappa: 0.0345, kb_relative_information_score: 178.1823, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.5867, predictive_accuracy: 0.622, prior_entropy: 0.9597, recall: 0.622, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2666, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5153, kappa: 0.0345, kb_relative_information_score: 178.1823, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.5867, predictive_accuracy: 0.622, prior_entropy: 0.9597, recall: 0.622, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2666, scimark_benchmark: 941.3847, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7262, kappa: 0.4111, kb_relative_information_score: 176.7473, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7465, predictive_accuracy: 0.743, prior_entropy: 0.9597, recall: 0.743, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8866, scimark_benchmark: 937.5117, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7653, kappa: 0.5093, kb_relative_information_score: 424.4421, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7713, predictive_accuracy: 0.763, prior_entropy: 0.9597, recall: 0.763, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8637, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8045, kappa: 0.5843, kb_relative_information_score: 487.2567, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.8042, predictive_accuracy: 0.805, prior_entropy: 0.9597, recall: 0.805, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.773, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7416, kappa: 0.4508, kb_relative_information_score: 414.7562, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7412, predictive_accuracy: 0.742, prior_entropy: 0.9597, recall: 0.742, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9471, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5153, kappa: 0.0345, kb_relative_information_score: 178.1823, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.5867, predictive_accuracy: 0.622, prior_entropy: 0.9597, recall: 0.622, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2666, scimark_benchmark: 906.0979, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7719, kappa: 0.514, kb_relative_information_score: 441.4887, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7713, predictive_accuracy: 0.773, prior_entropy: 0.9597, recall: 0.773, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8456, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7446, kappa: 0.4503, kb_relative_information_score: 289.2562, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.753, prior_entropy: 0.9597, recall: 0.753, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8395, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.583, kappa: 0.1022, kb_relative_information_score: 78.009, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.5791, predictive_accuracy: 0.597, prior_entropy: 0.9597, recall: 0.597, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.0761, scimark_benchmark: 935.5664, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7262, kappa: 0.4111, kb_relative_information_score: 176.7473, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7465, predictive_accuracy: 0.743, prior_entropy: 0.9597, recall: 0.743, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8866, scimark_benchmark: 936.3213, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.6763, kappa: 0.3038, kb_relative_information_score: 149.9569, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.6894, predictive_accuracy: 0.696, prior_entropy: 0.9597, recall: 0.696, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9191, scimark_benchmark: 931.7096, usercpu_time_millis: 2710, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.6951, kappa: 0.3435, kb_relative_information_score: 157.5002, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7059, predictive_accuracy: 0.711, prior_entropy: 0.9597, recall: 0.711, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9157, scimark_benchmark: 933.4823, usercpu_time_millis: 1480, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6757, kappa: 0.3019, kb_relative_information_score: 149.6275, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.6849, predictive_accuracy: 0.693, prior_entropy: 0.9597, recall: 0.693, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9253, scimark_benchmark: 938.8535, usercpu_time_millis: 760, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.6848, kappa: 0.3211, kb_relative_information_score: 147.3194, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.6926, predictive_accuracy: 0.7, prior_entropy: 0.9597, recall: 0.7, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9381, scimark_benchmark: 938.8535, usercpu_time_millis: 270, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6588, kappa: 0.2652, kb_relative_information_score: 162.5578, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.6618, predictive_accuracy: 0.673, prior_entropy: 0.9597, recall: 0.673, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.94, scimark_benchmark: 897.0978, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7343, kappa: 0.4317, kb_relative_information_score: 424.174, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7334, predictive_accuracy: 0.737, prior_entropy: 0.9597, recall: 0.737, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0176, scimark_benchmark: 929.0296, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7343, kappa: 0.4317, kb_relative_information_score: 423.7065, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7334, predictive_accuracy: 0.737, prior_entropy: 0.9597, recall: 0.737, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4911, root_relative_squared_error: 1.0117, scimark_benchmark: 889.4922, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.742, kappa: 0.4479, kb_relative_information_score: 441.3761, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7413, predictive_accuracy: 0.745, prior_entropy: 0.9597, recall: 0.745, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.964, scimark_benchmark: 894.7131, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7727, kappa: 0.5138, kb_relative_information_score: 480.6112, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7723, predictive_accuracy: 0.775, prior_entropy: 0.9597, recall: 0.775, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8813, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7894, kappa: 0.5503, kb_relative_information_score: 492.5105, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.789, predictive_accuracy: 0.791, prior_entropy: 0.9597, recall: 0.791, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8204, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.4746, kb_relative_information_score: -2.0372, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.3844, predictive_accuracy: 0.62, prior_entropy: 0.9597, recall: 0.62, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0008, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.7678, kappa: 0.5026, kb_relative_information_score: 508.1455, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7679, predictive_accuracy: 0.771, prior_entropy: 0.9597, recall: 0.771, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9474, scimark_benchmark: 938.3115, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7821, kappa: 0.5325, kb_relative_information_score: 534.4329, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7835, predictive_accuracy: 0.786, prior_entropy: 0.9597, recall: 0.786, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9121, scimark_benchmark: 936.1714, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7894, kappa: 0.5476, kb_relative_information_score: 539.0876, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7924, predictive_accuracy: 0.794, prior_entropy: 0.9597, recall: 0.794, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8915, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7858, kappa: 0.5403, kb_relative_information_score: 533.8166, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7878, predictive_accuracy: 0.79, prior_entropy: 0.9597, recall: 0.79, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8821, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7719, kappa: 0.514, kb_relative_information_score: 441.4887, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7713, predictive_accuracy: 0.773, prior_entropy: 0.9597, recall: 0.773, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8456, scimark_benchmark: 1350.2591,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 1317.5857,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7653, kappa: 0.5093, kb_relative_information_score: 424.4421, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7713, predictive_accuracy: 0.763, prior_entropy: 0.9597, recall: 0.763, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8637, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.583, kappa: 0.1022, kb_relative_information_score: 78.009, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.5791, predictive_accuracy: 0.597, prior_entropy: 0.9597, recall: 0.597, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.0761, scimark_benchmark: 1344.3409, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5153, kappa: 0.0345, kb_relative_information_score: 178.1823, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.5867, predictive_accuracy: 0.622, prior_entropy: 0.9597, recall: 0.622, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2666, scimark_benchmark: 1331.1314, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7719, kappa: 0.514, kb_relative_information_score: 441.4887, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7713, predictive_accuracy: 0.773, prior_entropy: 0.9597, recall: 0.773, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8456, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7446, kappa: 0.4503, kb_relative_information_score: 289.2562, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.753, prior_entropy: 0.9597, recall: 0.753, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8395, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7673, kappa: 0.5046, kb_relative_information_score: 442.1031, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.768, prior_entropy: 0.9597, recall: 0.768, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8443, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7618, kappa: 0.4993, kb_relative_information_score: 442.9029, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7653, predictive_accuracy: 0.76, prior_entropy: 0.9597, recall: 0.76, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.907, scimark_benchmark: 1313.11, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7262, kappa: 0.4111, kb_relative_information_score: 176.7473, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7465, predictive_accuracy: 0.743, prior_entropy: 0.9597, recall: 0.743, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8866, scimark_benchmark: 1317.5348, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7653, kappa: 0.5093, kb_relative_information_score: 424.4421, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4718, number_of_instances: 1000, precision: 0.7713, predictive_accuracy: 0.763, prior_entropy: 0.9597, recall: 0.763, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4854, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8637, scimark_benchmark: 1393.8432,

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

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From your own software

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

OpenML APIs