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Supervised Classification on fri_c3_500_5

Supervised Classification on fri_c3_500_5

Task 4320 Supervised Classification fri_c3_500_5 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8399, kappa: 0.6787, kb_relative_information_score: 2813.6129, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8407, predictive_accuracy: 0.8402, prior_entropy: 0.9981, recall: 0.8402, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7271, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8456, kappa: 0.6905, kb_relative_information_score: 2474.5035, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8457, predictive_accuracy: 0.8456, prior_entropy: 0.9981, recall: 0.8456, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6867, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8505, kappa: 0.6999, kb_relative_information_score: 3059.4224, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8507, predictive_accuracy: 0.8506, prior_entropy: 0.9981, recall: 0.8506, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6656, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8944, kappa: 0.7885, kb_relative_information_score: 3939.824, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8947, predictive_accuracy: 0.8944, prior_entropy: 0.9981, recall: 0.8944, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6508, scimark_benchmark: 904.6764, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8944, kappa: 0.7885, kb_relative_information_score: 3939.824, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8947, predictive_accuracy: 0.8944, prior_entropy: 0.9981, recall: 0.8944, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6508, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8713, kappa: 0.7417, kb_relative_information_score: 3143.5837, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8716, predictive_accuracy: 0.8714, prior_entropy: 0.9981, recall: 0.8714, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6159, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7199, kappa: 0.4389, kb_relative_information_score: 1295.685, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.7203, predictive_accuracy: 0.7198, prior_entropy: 0.9981, recall: 0.7198, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8563, scimark_benchmark: 944.1067, usercpu_time_millis: 2100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8335, kappa: 0.6661, kb_relative_information_score: 2917.4627, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8335, predictive_accuracy: 0.8336, prior_entropy: 0.9981, recall: 0.8336, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7289, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8944, kappa: 0.7885, kb_relative_information_score: 3939.824, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8947, predictive_accuracy: 0.8944, prior_entropy: 0.9981, recall: 0.8944, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6508, scimark_benchmark: 944.1783, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8944, kappa: 0.7885, kb_relative_information_score: 3939.824, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8947, predictive_accuracy: 0.8944, prior_entropy: 0.9981, recall: 0.8944, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6508, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8153, kappa: 0.63, kb_relative_information_score: 2777.753, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8158, predictive_accuracy: 0.8152, prior_entropy: 0.9981, recall: 0.8152, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7087, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8939, kappa: 0.7871, kb_relative_information_score: 3457.4207, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8942, predictive_accuracy: 0.894, prior_entropy: 0.9981, recall: 0.894, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5581, scimark_benchmark: 943.1009, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8399, kappa: 0.6787, kb_relative_information_score: 2813.6129, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8407, predictive_accuracy: 0.8402, prior_entropy: 0.9981, recall: 0.8402, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7271, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8456, kappa: 0.6905, kb_relative_information_score: 2474.5035, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8457, predictive_accuracy: 0.8456, prior_entropy: 0.9981, recall: 0.8456, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6867, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8505, kappa: 0.6999, kb_relative_information_score: 3059.4224, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8507, predictive_accuracy: 0.8506, prior_entropy: 0.9981, recall: 0.8506, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6656, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8944, kappa: 0.7885, kb_relative_information_score: 3939.824, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8947, predictive_accuracy: 0.8944, prior_entropy: 0.9981, recall: 0.8944, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6508, scimark_benchmark: 937.5683, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8944, kappa: 0.7885, kb_relative_information_score: 3939.824, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8947, predictive_accuracy: 0.8944, prior_entropy: 0.9981, recall: 0.8944, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6508, scimark_benchmark: 859.5223, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8713, kappa: 0.7417, kb_relative_information_score: 3143.5837, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8716, predictive_accuracy: 0.8714, prior_entropy: 0.9981, recall: 0.8714, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6159, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7199, kappa: 0.4389, kb_relative_information_score: 1295.685, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.7203, predictive_accuracy: 0.7198, prior_entropy: 0.9981, recall: 0.7198, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8563, scimark_benchmark: 934.5964, usercpu_time_millis: 1660, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8335, kappa: 0.6661, kb_relative_information_score: 2917.4627, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8335, predictive_accuracy: 0.8336, prior_entropy: 0.9981, recall: 0.8336, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7289, scimark_benchmark: 945.6228, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8939, kappa: 0.7871, kb_relative_information_score: 3457.4207, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8942, predictive_accuracy: 0.894, prior_entropy: 0.9981, recall: 0.894, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5581, scimark_benchmark: 936.3213, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.901, kappa: 0.8015, kb_relative_information_score: 3251.0196, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.9011, predictive_accuracy: 0.901, prior_entropy: 0.9981, recall: 0.901, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5408, scimark_benchmark: 904.5548, usercpu_time_millis: 1540, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8972, kappa: 0.794, kb_relative_information_score: 3237.3048, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8973, predictive_accuracy: 0.8972, prior_entropy: 0.9981, recall: 0.8972, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5447, scimark_benchmark: 904.5548, usercpu_time_millis: 730, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9006, kappa: 0.8007, kb_relative_information_score: 3255.8394, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.9007, predictive_accuracy: 0.9006, prior_entropy: 0.9981, recall: 0.9006, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5434, scimark_benchmark: 897.0978, usercpu_time_millis: 360, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.897, kappa: 0.7935, kb_relative_information_score: 3237.8909, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8971, predictive_accuracy: 0.897, prior_entropy: 0.9981, recall: 0.897, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5519, scimark_benchmark: 917.2109, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8936, kappa: 0.7867, kb_relative_information_score: 3211.4764, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8936, predictive_accuracy: 0.8936, prior_entropy: 0.9981, recall: 0.8936, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5681, scimark_benchmark: 899.0468, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8862, kappa: 0.7718, kb_relative_information_score: 3662.6434, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8862, predictive_accuracy: 0.8862, prior_entropy: 0.9981, recall: 0.8862, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.292, root_relative_squared_error: 0.5847, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8858, kappa: 0.771, kb_relative_information_score: 3661.9909, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8858, predictive_accuracy: 0.8858, prior_entropy: 0.9981, recall: 0.8858, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5846, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8836, kappa: 0.7665, kb_relative_information_score: 3560.6102, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8836, predictive_accuracy: 0.8836, prior_entropy: 0.9981, recall: 0.8836, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5937, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8544, kappa: 0.708, kb_relative_information_score: 3164.2325, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8544, predictive_accuracy: 0.8544, prior_entropy: 0.9981, recall: 0.8544, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6456, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8479, kappa: 0.6947, kb_relative_information_score: 2767.7364, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9981, recall: 0.848, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6687, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3626, kb_relative_information_score: -0.319, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8725, kappa: 0.7443, kb_relative_information_score: 3665.578, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8726, predictive_accuracy: 0.8726, prior_entropy: 0.9981, recall: 0.8726, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6473, scimark_benchmark: 936.1714, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8614, kappa: 0.7222, kb_relative_information_score: 3475.9734, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8616, predictive_accuracy: 0.8614, prior_entropy: 0.9981, recall: 0.8614, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6819, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 930.5999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 1309.0674,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7199, kappa: 0.4389, kb_relative_information_score: 1295.685, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.7203, predictive_accuracy: 0.7198, prior_entropy: 0.9981, recall: 0.7198, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8563, scimark_benchmark: 1331.7953, usercpu_time_millis: 960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8939, kappa: 0.7871, kb_relative_information_score: 3457.4207, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8942, predictive_accuracy: 0.894, prior_entropy: 0.9981, recall: 0.894, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5581, scimark_benchmark: 1324.6442, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8153, kappa: 0.63, kb_relative_information_score: 2777.753, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8158, predictive_accuracy: 0.8152, prior_entropy: 0.9981, recall: 0.8152, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7087, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7199, kappa: 0.4389, kb_relative_information_score: 1295.685, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.7203, predictive_accuracy: 0.7198, prior_entropy: 0.9981, recall: 0.7198, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8563, scimark_benchmark: 1324.8408, usercpu_time_millis: 2220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8153, kappa: 0.63, kb_relative_information_score: 2777.753, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8158, predictive_accuracy: 0.8152, prior_entropy: 0.9981, recall: 0.8152, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7087, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 2935.3636, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8454, predictive_accuracy: 0.8446, prior_entropy: 0.9981, recall: 0.8446, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6841, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8335, kappa: 0.6661, kb_relative_information_score: 2917.4627, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8335, predictive_accuracy: 0.8336, prior_entropy: 0.9981, recall: 0.8336, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7289, scimark_benchmark: 1313.5633, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8939, kappa: 0.7871, kb_relative_information_score: 3457.4207, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8942, predictive_accuracy: 0.894, prior_entropy: 0.9981, recall: 0.894, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5581, scimark_benchmark: 1320.8283, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.6999, kappa: 0.3982, kb_relative_information_score: 1227.4907, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.7023, predictive_accuracy: 0.7016, prior_entropy: 0.9981, recall: 0.7016, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8807, scimark_benchmark: 1330.8256, usercpu_time_millis: 540, usercpu_time_millis_testing: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8456, kappa: 0.6905, kb_relative_information_score: 2474.5035, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8457, predictive_accuracy: 0.8456, prior_entropy: 0.9981, recall: 0.8456, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6867, scimark_benchmark: 1346.0226, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8878, kappa: 0.7749, kb_relative_information_score: 3667.003, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8884, predictive_accuracy: 0.888, prior_entropy: 0.9981, recall: 0.888, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.323, root_relative_squared_error: 0.647, scimark_benchmark: 1256.2802, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8577, kappa: 0.7145, kb_relative_information_score: 3469.1201, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8578, predictive_accuracy: 0.8578, prior_entropy: 0.9981, recall: 0.8578, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7247, scimark_benchmark: 1321.4771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8505, kappa: 0.6999, kb_relative_information_score: 3059.4224, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8507, predictive_accuracy: 0.8506, prior_entropy: 0.9981, recall: 0.8506, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6656, scimark_benchmark: 1325.3966, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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