Task
Supervised Classification on fri_c0_250_50

Supervised Classification on fri_c0_250_50

Task 4303 Supervised Classification fri_c0_250_50 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.7006, kappa: 0.3984, kb_relative_information_score: 711.2539, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7005, predictive_accuracy: 0.7008, prior_entropy: 0.9971, recall: 0.7008, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9147, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7674, kappa: 0.5336, kb_relative_information_score: 987.3472, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7682, predictive_accuracy: 0.7672, prior_entropy: 0.9971, recall: 0.7672, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.799, scimark_benchmark: 972.587, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7654, kappa: 0.5292, kb_relative_information_score: 1123.8371, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7657, predictive_accuracy: 0.7652, prior_entropy: 0.9971, recall: 0.7652, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8179, scimark_benchmark: 934.3687, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 931.771, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 944.1067, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.768, kappa: 0.5339, kb_relative_information_score: 929.5196, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7679, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7846, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7647, kappa: 0.5272, kb_relative_information_score: 1084.4216, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7646, predictive_accuracy: 0.7648, prior_entropy: 0.9971, recall: 0.7648, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7868, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7372, kappa: 0.4723, kb_relative_information_score: 998.9467, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7372, predictive_accuracy: 0.7372, prior_entropy: 0.9971, recall: 0.7372, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9119, scimark_benchmark: 927.2917, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 938.5498, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 947.1781, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7082, kappa: 0.4135, kb_relative_information_score: 812.859, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7084, predictive_accuracy: 0.7088, prior_entropy: 0.9971, recall: 0.7088, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8358, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7665, kappa: 0.5311, kb_relative_information_score: 567.1085, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7709, predictive_accuracy: 0.7684, prior_entropy: 0.9971, recall: 0.7684, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8452, scimark_benchmark: 937.5117, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.7006, kappa: 0.3984, kb_relative_information_score: 711.2539, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7005, predictive_accuracy: 0.7008, prior_entropy: 0.9971, recall: 0.7008, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9147, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7674, kappa: 0.5336, kb_relative_information_score: 987.3472, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7682, predictive_accuracy: 0.7672, prior_entropy: 0.9971, recall: 0.7672, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.799, scimark_benchmark: 908.9569, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7654, kappa: 0.5292, kb_relative_information_score: 1123.8371, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7657, predictive_accuracy: 0.7652, prior_entropy: 0.9971, recall: 0.7652, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8179, scimark_benchmark: 936.2574, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 931.7096, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 930.404, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7082, kappa: 0.4135, kb_relative_information_score: 812.859, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7084, predictive_accuracy: 0.7088, prior_entropy: 0.9971, recall: 0.7088, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8358, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.768, kappa: 0.5339, kb_relative_information_score: 929.5196, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7679, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7846, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7647, kappa: 0.5272, kb_relative_information_score: 1084.4216, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7646, predictive_accuracy: 0.7648, prior_entropy: 0.9971, recall: 0.7648, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7868, scimark_benchmark: 1051.249, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7372, kappa: 0.4723, kb_relative_information_score: 998.9467, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7372, predictive_accuracy: 0.7372, prior_entropy: 0.9971, recall: 0.7372, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9119, scimark_benchmark: 932.438, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7665, kappa: 0.5311, kb_relative_information_score: 567.1085, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7709, predictive_accuracy: 0.7684, prior_entropy: 0.9971, recall: 0.7684, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8452, scimark_benchmark: 730.6551, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7836, kappa: 0.565, kb_relative_information_score: 792.4436, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7934, scimark_benchmark: 1051.249, usercpu_time_millis: 10440, usercpu_time_millis_testing: 4750, usercpu_time_millis_training: 5690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.7831, kappa: 0.5641, kb_relative_information_score: 793.4654, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7836, predictive_accuracy: 0.7836, prior_entropy: 0.9971, recall: 0.7836, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7939, scimark_benchmark: 933.4823, usercpu_time_millis: 4010, usercpu_time_millis_testing: 1590, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7733, kappa: 0.5443, kb_relative_information_score: 766.109, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7742, predictive_accuracy: 0.774, prior_entropy: 0.9971, recall: 0.774, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8085, scimark_benchmark: 929.7512, usercpu_time_millis: 1630, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.7654, kappa: 0.5285, kb_relative_information_score: 775.0472, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.766, predictive_accuracy: 0.766, prior_entropy: 0.9971, recall: 0.766, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8144, scimark_benchmark: 921.2615, usercpu_time_millis: 650, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7272, kappa: 0.4517, kb_relative_information_score: 716.2664, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7285, predictive_accuracy: 0.7284, prior_entropy: 0.9971, recall: 0.7284, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8537, scimark_benchmark: 930.0025, usercpu_time_millis: 330, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7849, kappa: 0.5683, kb_relative_information_score: 1402.865, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7851, predictive_accuracy: 0.7848, prior_entropy: 0.9971, recall: 0.7848, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8583, scimark_benchmark: 941.9549, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7789, kappa: 0.556, kb_relative_information_score: 1365.6786, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7789, predictive_accuracy: 0.7788, prior_entropy: 0.9971, recall: 0.7788, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.864, scimark_benchmark: 938.3115, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7733, kappa: 0.545, kb_relative_information_score: 1312.8896, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7735, predictive_accuracy: 0.7732, prior_entropy: 0.9971, recall: 0.7732, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8506, scimark_benchmark: 894.7131, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7717, kappa: 0.5418, kb_relative_information_score: 1244.387, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7719, predictive_accuracy: 0.7716, prior_entropy: 0.9971, recall: 0.7716, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8322, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.7967, kappa: 0.5915, kb_relative_information_score: 1278.724, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7967, predictive_accuracy: 0.7968, prior_entropy: 0.9971, recall: 0.7968, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7659, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8003, kappa: 0.5988, kb_relative_information_score: 1450.3834, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8003, predictive_accuracy: 0.8004, prior_entropy: 0.9971, recall: 0.8004, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8218, scimark_benchmark: 929.0296, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7766, kappa: 0.5526, kb_relative_information_score: 1325.3269, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7782, predictive_accuracy: 0.7764, prior_entropy: 0.9971, recall: 0.7764, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8473, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7347, kappa: 0.4756, kb_relative_information_score: 1101.693, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.748, predictive_accuracy: 0.7356, prior_entropy: 0.9971, recall: 0.7356, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9102, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7654, kappa: 0.5292, kb_relative_information_score: 1123.8371, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7657, predictive_accuracy: 0.7652, prior_entropy: 0.9971, recall: 0.7652, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8179, scimark_benchmark: 930.0565, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 1342.8584, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7082, kappa: 0.4135, kb_relative_information_score: 812.859, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7084, predictive_accuracy: 0.7088, prior_entropy: 0.9971, recall: 0.7088, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8358, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7674, kappa: 0.5336, kb_relative_information_score: 987.3472, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7682, predictive_accuracy: 0.7672, prior_entropy: 0.9971, recall: 0.7672, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.799, scimark_benchmark: 1313.8988, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 1316.5668, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7082, kappa: 0.4135, kb_relative_information_score: 812.859, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7084, predictive_accuracy: 0.7088, prior_entropy: 0.9971, recall: 0.7088, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8358, scimark_benchmark: 1333.6736, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7647, kappa: 0.5272, kb_relative_information_score: 1084.4216, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7646, predictive_accuracy: 0.7648, prior_entropy: 0.9971, recall: 0.7648, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7868, scimark_benchmark: 1319.952, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1331.4379, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 1331.1314, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7082, kappa: 0.4135, kb_relative_information_score: 812.859, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7084, predictive_accuracy: 0.7088, prior_entropy: 0.9971, recall: 0.7088, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8358, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.768, kappa: 0.5339, kb_relative_information_score: 929.5196, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7679, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7846, scimark_benchmark: 1326.2019, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7372, kappa: 0.4723, kb_relative_information_score: 998.9467, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7372, predictive_accuracy: 0.7372, prior_entropy: 0.9971, recall: 0.7372, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9119, scimark_benchmark: 1317.6232, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7665, kappa: 0.5311, kb_relative_information_score: 567.1085, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7709, predictive_accuracy: 0.7684, prior_entropy: 0.9971, recall: 0.7684, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8452, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.6412, kappa: 0.2791, kb_relative_information_score: 401.173, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6411, predictive_accuracy: 0.6416, prior_entropy: 0.9971, recall: 0.6416, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9676, scimark_benchmark: 1318.3027, usercpu_time_millis: 1180, usercpu_time_millis_testing: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.7637, kappa: 0.5257, kb_relative_information_score: 1295.3256, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7639, predictive_accuracy: 0.7636, prior_entropy: 0.9971, recall: 0.7636, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9583, scimark_benchmark: 1322.0065, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7654, kappa: 0.5292, kb_relative_information_score: 1123.8371, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7657, predictive_accuracy: 0.7652, prior_entropy: 0.9971, recall: 0.7652, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8179, scimark_benchmark: 1319.5773, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7984, kappa: 0.5948, kb_relative_information_score: 1055.287, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7988, predictive_accuracy: 0.7988, prior_entropy: 0.9971, recall: 0.7988, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7546, scimark_benchmark: 1317.7919, usercpu_time_millis: 150, usercpu_time_millis_training: 150,

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