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Supervised Classification on fri_c0_250_25

Supervised Classification on fri_c0_250_25

Task 4344 Supervised Classification fri_c0_250_25 210 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7523, kappa: 0.5049, kb_relative_information_score: 997.3594, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7529, predictive_accuracy: 0.7524, prior_entropy: 1, recall: 0.7524, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8596, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.782, kappa: 0.564, kb_relative_information_score: 1087.3009, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.782, predictive_accuracy: 0.782, prior_entropy: 1, recall: 0.782, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7654, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7664, kappa: 0.5328, kb_relative_information_score: 1149.1759, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7665, predictive_accuracy: 0.7664, prior_entropy: 1, recall: 0.7664, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8045, scimark_benchmark: 934.3687, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8104, kappa: 0.6208, kb_relative_information_score: 1551.912, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8709, scimark_benchmark: 944.1067, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8104, kappa: 0.6208, kb_relative_information_score: 1551.912, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8709, scimark_benchmark: 916.0735, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7516, kappa: 0.5032, kb_relative_information_score: 930.3279, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7516, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8115, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.7979, kappa: 0.5958, kb_relative_information_score: 1063.2176, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7984, predictive_accuracy: 0.798, prior_entropy: 1, recall: 0.798, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7497, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8144, kappa: 0.6288, kb_relative_information_score: 1256.2688, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8144, predictive_accuracy: 0.8144, prior_entropy: 1, recall: 0.8144, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7476, scimark_benchmark: 938.191, usercpu_time_millis: 430, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7424, kappa: 0.4847, kb_relative_information_score: 1029.1197, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7424, predictive_accuracy: 0.7424, prior_entropy: 1, recall: 0.7424, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8772, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8104, kappa: 0.6208, kb_relative_information_score: 1551.912, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8709, scimark_benchmark: 941.3847, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8104, kappa: 0.6208, kb_relative_information_score: 1551.912, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8709, scimark_benchmark: 941.3847, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.752, kappa: 0.504, kb_relative_information_score: 920.1865, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 1, recall: 0.752, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8121, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8287, kappa: 0.6574, kb_relative_information_score: 870.3121, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8296, predictive_accuracy: 0.8288, prior_entropy: 1, recall: 0.8288, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7622, scimark_benchmark: 947.1781, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7523, kappa: 0.5049, kb_relative_information_score: 997.3594, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7529, predictive_accuracy: 0.7524, prior_entropy: 1, recall: 0.7524, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8596, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.782, kappa: 0.564, kb_relative_information_score: 1087.3009, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.782, predictive_accuracy: 0.782, prior_entropy: 1, recall: 0.782, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7654, scimark_benchmark: 908.9569, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7664, kappa: 0.5328, kb_relative_information_score: 1149.1759, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7665, predictive_accuracy: 0.7664, prior_entropy: 1, recall: 0.7664, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8045, scimark_benchmark: 936.2574, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8104, kappa: 0.6208, kb_relative_information_score: 1551.912, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8709, scimark_benchmark: 927.2882, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8104, kappa: 0.6208, kb_relative_information_score: 1551.912, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8709, scimark_benchmark: 943.6618, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.752, kappa: 0.504, kb_relative_information_score: 920.1865, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 1, recall: 0.752, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8121, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7516, kappa: 0.5032, kb_relative_information_score: 930.3279, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7516, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8115, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7516, kappa: 0.5032, kb_relative_information_score: 930.3279, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7516, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8115, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.7979, kappa: 0.5958, kb_relative_information_score: 1063.2176, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7984, predictive_accuracy: 0.798, prior_entropy: 1, recall: 0.798, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7497, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8144, kappa: 0.6288, kb_relative_information_score: 1256.2688, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8144, predictive_accuracy: 0.8144, prior_entropy: 1, recall: 0.8144, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7476, scimark_benchmark: 934.5964, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7516, kappa: 0.5032, kb_relative_information_score: 930.3279, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7516, predictive_accuracy: 0.7516, prior_entropy: 1, recall: 0.7516, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8115, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7424, kappa: 0.4847, kb_relative_information_score: 1029.1197, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7424, predictive_accuracy: 0.7424, prior_entropy: 1, recall: 0.7424, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8772, scimark_benchmark: 932.438, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8287, kappa: 0.6574, kb_relative_information_score: 870.3121, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8296, predictive_accuracy: 0.8288, prior_entropy: 1, recall: 0.8288, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7622, scimark_benchmark: 901.4991, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.834, kappa: 0.6679, kb_relative_information_score: 928.7296, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7491, scimark_benchmark: 934.695, usercpu_time_millis: 3530, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.838, kappa: 0.676, kb_relative_information_score: 944.9145, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 1, recall: 0.838, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7452, scimark_benchmark: 906.5979, usercpu_time_millis: 1860, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.816, kappa: 0.632, kb_relative_information_score: 911.1168, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7611, scimark_benchmark: 942.5233, usercpu_time_millis: 710, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8092, kappa: 0.6184, kb_relative_information_score: 928.226, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8092, predictive_accuracy: 0.8092, prior_entropy: 1, recall: 0.8092, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7636, scimark_benchmark: 938.8535, usercpu_time_millis: 350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7676, kappa: 0.5352, kb_relative_information_score: 897.1169, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7676, predictive_accuracy: 0.7676, prior_entropy: 1, recall: 0.7676, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.79, scimark_benchmark: 899.0468, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8068, kappa: 0.6136, kb_relative_information_score: 1486.8822, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.807, predictive_accuracy: 0.8068, prior_entropy: 1, recall: 0.8068, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7906, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8072, kappa: 0.6144, kb_relative_information_score: 1489.9586, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8073, predictive_accuracy: 0.8072, prior_entropy: 1, recall: 0.8072, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7883, scimark_benchmark: 941.9549, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8108, kappa: 0.6216, kb_relative_information_score: 1501.5517, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8109, predictive_accuracy: 0.8108, prior_entropy: 1, recall: 0.8108, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7668, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8088, kappa: 0.6176, kb_relative_information_score: 1455.5833, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8089, predictive_accuracy: 0.8088, prior_entropy: 1, recall: 0.8088, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7521, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7888, kappa: 0.5776, kb_relative_information_score: 1278.9166, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7888, predictive_accuracy: 0.7888, prior_entropy: 1, recall: 0.7888, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7764, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.3378, kb_relative_information_score: -0.609, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8252, kappa: 0.6505, kb_relative_information_score: 1606.2697, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8256, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7875, scimark_benchmark: 926.5859, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8172, kappa: 0.6345, kb_relative_information_score: 1550.954, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8177, predictive_accuracy: 0.8172, prior_entropy: 1, recall: 0.8172, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.7961, scimark_benchmark: 936.1714, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8144, kappa: 0.6288, kb_relative_information_score: 1256.2688, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8144, predictive_accuracy: 0.8144, prior_entropy: 1, recall: 0.8144, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7476, scimark_benchmark: 1358.6198, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7424, kappa: 0.4847, kb_relative_information_score: 1029.1197, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7424, predictive_accuracy: 0.7424, prior_entropy: 1, recall: 0.7424, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8772, scimark_benchmark: 1322.1893, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7804, kappa: 0.5609, kb_relative_information_score: 1298.9856, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7807, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.853, scimark_benchmark: 1256.2802, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7628, kappa: 0.5255, kb_relative_information_score: 1287.8426, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7628, predictive_accuracy: 0.7628, prior_entropy: 1, recall: 0.7628, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9472, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7664, kappa: 0.5328, kb_relative_information_score: 1149.1759, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7665, predictive_accuracy: 0.7664, prior_entropy: 1, recall: 0.7664, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8045, scimark_benchmark: 1325.3966, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8104, kappa: 0.6208, kb_relative_information_score: 1189.7113, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7511, scimark_benchmark: 1350.1007, usercpu_time_millis: 90, usercpu_time_millis_training: 90,

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