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Supervised Classification on fri_c4_500_10

Supervised Classification on fri_c4_500_10

Task 4425 Supervised Classification fri_c4_500_10 195 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8199, kappa: 0.6352, kb_relative_information_score: 2642.4559, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8205, predictive_accuracy: 0.8206, prior_entropy: 0.9922, recall: 0.8206, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.378, root_relative_squared_error: 0.76, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8211, kappa: 0.6382, kb_relative_information_score: 2299.8559, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8211, predictive_accuracy: 0.8212, prior_entropy: 0.9922, recall: 0.8212, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7164, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8145, kappa: 0.6248, kb_relative_information_score: 2711.2479, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8145, predictive_accuracy: 0.8146, prior_entropy: 0.9922, recall: 0.8146, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7142, scimark_benchmark: 934.3687, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7774, kappa: 0.554, kb_relative_information_score: 2732.7399, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.7829, predictive_accuracy: 0.7768, prior_entropy: 0.9922, recall: 0.7768, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.95, scimark_benchmark: 931.771, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7774, kappa: 0.554, kb_relative_information_score: 2732.7399, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.7829, predictive_accuracy: 0.7768, prior_entropy: 0.9922, recall: 0.7768, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.95, scimark_benchmark: 944.1067, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8652, kappa: 0.727, kb_relative_information_score: 2835.4784, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8657, predictive_accuracy: 0.8656, prior_entropy: 0.9922, recall: 0.8656, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6366, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.68, kappa: 0.3529, kb_relative_information_score: 1065.2967, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.6799, predictive_accuracy: 0.68, prior_entropy: 0.9922, recall: 0.68, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9034, scimark_benchmark: 934.2976, usercpu_time_millis: 1990, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.814, kappa: 0.6238, kb_relative_information_score: 2788.482, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9922, recall: 0.814, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7471, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7774, kappa: 0.554, kb_relative_information_score: 2732.7399, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.7829, predictive_accuracy: 0.7768, prior_entropy: 0.9922, recall: 0.7768, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.95, scimark_benchmark: 937.5117, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7774, kappa: 0.554, kb_relative_information_score: 2732.7399, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.7829, predictive_accuracy: 0.7768, prior_entropy: 0.9922, recall: 0.7768, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.95, scimark_benchmark: 974.2014, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8117, kappa: 0.6187, kb_relative_information_score: 2701.1648, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8119, predictive_accuracy: 0.8122, prior_entropy: 0.9922, recall: 0.8122, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7034, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8939, kappa: 0.7852, kb_relative_information_score: 3000.8351, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9922, recall: 0.894, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5917, scimark_benchmark: 974.2014, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8199, kappa: 0.6352, kb_relative_information_score: 2642.4559, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8205, predictive_accuracy: 0.8206, prior_entropy: 0.9922, recall: 0.8206, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.378, root_relative_squared_error: 0.76, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8211, kappa: 0.6382, kb_relative_information_score: 2299.8559, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8211, predictive_accuracy: 0.8212, prior_entropy: 0.9922, recall: 0.8212, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7164, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8145, kappa: 0.6248, kb_relative_information_score: 2711.2479, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8145, predictive_accuracy: 0.8146, prior_entropy: 0.9922, recall: 0.8146, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7142, scimark_benchmark: 936.2574, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7774, kappa: 0.554, kb_relative_information_score: 2732.7399, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.7829, predictive_accuracy: 0.7768, prior_entropy: 0.9922, recall: 0.7768, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.95, scimark_benchmark: 926.5462, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8652, kappa: 0.727, kb_relative_information_score: 2835.4784, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8657, predictive_accuracy: 0.8656, prior_entropy: 0.9922, recall: 0.8656, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6366, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.68, kappa: 0.3529, kb_relative_information_score: 1065.2967, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.6799, predictive_accuracy: 0.68, prior_entropy: 0.9922, recall: 0.68, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9034, scimark_benchmark: 938.4601, usercpu_time_millis: 1590, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.814, kappa: 0.6238, kb_relative_information_score: 2788.482, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9922, recall: 0.814, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7471, scimark_benchmark: 730.6551, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8939, kappa: 0.7852, kb_relative_information_score: 3000.8351, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9922, recall: 0.894, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5917, scimark_benchmark: 936.9595, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9098, kappa: 0.8175, kb_relative_information_score: 2779.2023, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.9097, predictive_accuracy: 0.9098, prior_entropy: 0.9922, recall: 0.9098, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.5989, scimark_benchmark: 935.5664, usercpu_time_millis: 3220, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 1970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9102, kappa: 0.8182, kb_relative_information_score: 2787.9539, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.9101, predictive_accuracy: 0.9102, prior_entropy: 0.9922, recall: 0.9102, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.5987, scimark_benchmark: 906.5979, usercpu_time_millis: 1300, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8986, kappa: 0.7948, kb_relative_information_score: 2742.3155, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8985, predictive_accuracy: 0.8986, prior_entropy: 0.9922, recall: 0.8986, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6103, scimark_benchmark: 905.3417, usercpu_time_millis: 610, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8972, kappa: 0.792, kb_relative_information_score: 2777.4082, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8971, predictive_accuracy: 0.8972, prior_entropy: 0.9922, recall: 0.8972, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6096, scimark_benchmark: 931.6751, usercpu_time_millis: 350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8761, kappa: 0.7494, kb_relative_information_score: 2766.9712, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8761, predictive_accuracy: 0.8762, prior_entropy: 0.9922, recall: 0.8762, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6237, scimark_benchmark: 905.3417, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8791, kappa: 0.7554, kb_relative_information_score: 3447.5456, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8791, predictive_accuracy: 0.8792, prior_entropy: 0.9922, recall: 0.8792, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6017, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8789, kappa: 0.755, kb_relative_information_score: 3446.8841, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8789, predictive_accuracy: 0.879, prior_entropy: 0.9922, recall: 0.879, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6017, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8795, kappa: 0.7563, kb_relative_information_score: 3433.4826, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8795, predictive_accuracy: 0.8796, prior_entropy: 0.9922, recall: 0.8796, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6024, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8687, kappa: 0.7342, kb_relative_information_score: 3247.5047, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8688, prior_entropy: 0.9922, recall: 0.8688, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6086, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8244, kappa: 0.6446, kb_relative_information_score: 2588.5475, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8244, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7014, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8741, kappa: 0.7455, kb_relative_information_score: 3652.6499, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8742, predictive_accuracy: 0.874, prior_entropy: 0.9922, recall: 0.874, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6339, scimark_benchmark: 936.1714, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.68, kappa: 0.3529, kb_relative_information_score: 1065.2635, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.6799, predictive_accuracy: 0.68, prior_entropy: 0.9922, recall: 0.68, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9034, scimark_benchmark: 1332.7986, usercpu_time_millis: 1220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 1316.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.814, kappa: 0.6238, kb_relative_information_score: 2788.482, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9922, recall: 0.814, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7471, scimark_benchmark: 1347.3402, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8145, kappa: 0.6248, kb_relative_information_score: 2711.2479, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8145, predictive_accuracy: 0.8146, prior_entropy: 0.9922, recall: 0.8146, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7142, scimark_benchmark: 1318.4315, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7774, kappa: 0.554, kb_relative_information_score: 2732.7399, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.7829, predictive_accuracy: 0.7768, prior_entropy: 0.9922, recall: 0.7768, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.95, scimark_benchmark: 1348.2804, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7774, kappa: 0.554, kb_relative_information_score: 2732.7399, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.7829, predictive_accuracy: 0.7768, prior_entropy: 0.9922, recall: 0.7768, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.95, scimark_benchmark: 1331.636, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8199, kappa: 0.6352, kb_relative_information_score: 2642.4559, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8205, predictive_accuracy: 0.8206, prior_entropy: 0.9922, recall: 0.8206, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.378, root_relative_squared_error: 0.76, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8939, kappa: 0.7852, kb_relative_information_score: 3000.8351, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9922, recall: 0.894, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5917, scimark_benchmark: 1339.2472, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7774, kappa: 0.554, kb_relative_information_score: 2732.7399, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.7829, predictive_accuracy: 0.7768, prior_entropy: 0.9922, recall: 0.7768, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.95, scimark_benchmark: 1417.3093, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.814, kappa: 0.6238, kb_relative_information_score: 2788.482, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9922, recall: 0.814, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7471, scimark_benchmark: 1297.2338, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8387, kappa: 0.6738, kb_relative_information_score: 3149.2354, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8387, predictive_accuracy: 0.8388, prior_entropy: 0.9922, recall: 0.8388, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7233, scimark_benchmark: 1384.4422, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8117, kappa: 0.6187, kb_relative_information_score: 2701.1648, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8119, predictive_accuracy: 0.8122, prior_entropy: 0.9922, recall: 0.8122, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7034, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.68, kappa: 0.3529, kb_relative_information_score: 1065.2967, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.6799, predictive_accuracy: 0.68, prior_entropy: 0.9922, recall: 0.68, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9034, scimark_benchmark: 918.0213, usercpu_time_millis: 1800, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8211, kappa: 0.6382, kb_relative_information_score: 2299.8559, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8211, predictive_accuracy: 0.8212, prior_entropy: 0.9922, recall: 0.8212, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7164, scimark_benchmark: 1315.2176, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8235, kappa: 0.6422, kb_relative_information_score: 2762.7859, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 5000, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9922, recall: 0.8246, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 933.1165, 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