Task
Supervised Classification on fri_c2_500_10

Supervised Classification on fri_c2_500_10

Task 4438 Supervised Classification fri_c2_500_10 222 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8571, kappa: 0.7075, kb_relative_information_score: 3149.6552, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8573, predictive_accuracy: 0.8576, prior_entropy: 0.9851, recall: 0.8576, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6753, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8873, kappa: 0.7701, kb_relative_information_score: 3498.3606, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8875, predictive_accuracy: 0.8872, prior_entropy: 0.9851, recall: 0.8872, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5829, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7767, kappa: 0.5432, kb_relative_information_score: 2701.7449, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7765, predictive_accuracy: 0.777, prior_entropy: 0.9851, recall: 0.777, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9544, 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: 0.7708, f_measure: 0.7767, kappa: 0.5432, kb_relative_information_score: 2701.7449, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7765, predictive_accuracy: 0.777, prior_entropy: 0.9851, recall: 0.777, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9544, 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: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9019, kappa: 0.7993, kb_relative_information_score: 3524.5137, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.9851, recall: 0.902, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5325, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.719, kappa: 0.4264, kb_relative_information_score: 1338.0507, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7192, predictive_accuracy: 0.7188, prior_entropy: 0.9851, recall: 0.7188, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8806, scimark_benchmark: 932.2692, usercpu_time_millis: 10000, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 9950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8886, kappa: 0.7722, kb_relative_information_score: 3570.1441, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8886, predictive_accuracy: 0.8888, prior_entropy: 0.9851, recall: 0.8888, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6131, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.919, kappa: 0.8344, kb_relative_information_score: 3427.0462, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.9851, recall: 0.9192, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5101, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7767, kappa: 0.5432, kb_relative_information_score: 2701.7449, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7765, predictive_accuracy: 0.777, prior_entropy: 0.9851, recall: 0.777, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9544, 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: 0.7708, f_measure: 0.7767, kappa: 0.5432, kb_relative_information_score: 2701.7449, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7765, predictive_accuracy: 0.777, prior_entropy: 0.9851, recall: 0.777, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9544, scimark_benchmark: 974.2014, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.919, kappa: 0.8344, kb_relative_information_score: 3427.0462, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.9851, recall: 0.9192, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5101, scimark_benchmark: 943.1009, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8571, kappa: 0.7075, kb_relative_information_score: 3149.6552, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8573, predictive_accuracy: 0.8576, prior_entropy: 0.9851, recall: 0.8576, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6753, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8873, kappa: 0.7701, kb_relative_information_score: 3498.3606, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8875, predictive_accuracy: 0.8872, prior_entropy: 0.9851, recall: 0.8872, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5829, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7767, kappa: 0.5432, kb_relative_information_score: 2701.7449, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7765, predictive_accuracy: 0.777, prior_entropy: 0.9851, recall: 0.777, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9544, scimark_benchmark: 943.6618, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8321, kappa: 0.6554, kb_relative_information_score: 2986.2834, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8343, predictive_accuracy: 0.8336, prior_entropy: 0.9851, recall: 0.8336, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7286, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9019, kappa: 0.7993, kb_relative_information_score: 3524.5137, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.9851, recall: 0.902, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5325, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.719, kappa: 0.4264, kb_relative_information_score: 1338.0507, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7192, predictive_accuracy: 0.7188, prior_entropy: 0.9851, recall: 0.7188, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8806, scimark_benchmark: 938.4601, usercpu_time_millis: 7440, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 7400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8402, kappa: 0.6721, kb_relative_information_score: 3099.2841, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.843, predictive_accuracy: 0.8418, prior_entropy: 0.9851, recall: 0.8418, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6774, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8886, kappa: 0.7722, kb_relative_information_score: 3570.1441, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8886, predictive_accuracy: 0.8888, prior_entropy: 0.9851, recall: 0.8888, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6131, scimark_benchmark: 936.9595, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.919, kappa: 0.8344, kb_relative_information_score: 3427.0462, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.9851, recall: 0.9192, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5101, scimark_benchmark: 917.5013, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9076, kappa: 0.8111, kb_relative_information_score: 2792.2208, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9075, predictive_accuracy: 0.9076, prior_entropy: 0.9851, recall: 0.9076, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5944, scimark_benchmark: 901.4991, usercpu_time_millis: 2950, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9057, kappa: 0.8073, kb_relative_information_score: 2794.9295, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9057, predictive_accuracy: 0.9058, prior_entropy: 0.9851, recall: 0.9058, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5957, scimark_benchmark: 934.7923, usercpu_time_millis: 1210, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9019, kappa: 0.7995, kb_relative_information_score: 2790.4787, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.9851, recall: 0.902, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5993, scimark_benchmark: 939.7241, usercpu_time_millis: 580, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8973, kappa: 0.7902, kb_relative_information_score: 2797.3952, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8973, predictive_accuracy: 0.8974, prior_entropy: 0.9851, recall: 0.8974, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6041, scimark_benchmark: 945.0448, usercpu_time_millis: 290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8801, kappa: 0.7548, kb_relative_information_score: 2739.3948, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.88, predictive_accuracy: 0.8802, prior_entropy: 0.9851, recall: 0.8802, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6253, scimark_benchmark: 899.0468, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8486, kappa: 0.6895, kb_relative_information_score: 2982.3243, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8504, predictive_accuracy: 0.8498, prior_entropy: 0.9851, recall: 0.8498, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6553, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8486, kappa: 0.6895, kb_relative_information_score: 2982.3243, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8504, predictive_accuracy: 0.8498, prior_entropy: 0.9851, recall: 0.8498, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6553, scimark_benchmark: 930.0565, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8486, kappa: 0.6895, kb_relative_information_score: 2982.3243, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8504, predictive_accuracy: 0.8498, prior_entropy: 0.9851, recall: 0.8498, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6553, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8482, kappa: 0.6887, kb_relative_information_score: 2977.7708, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.85, predictive_accuracy: 0.8494, prior_entropy: 0.9851, recall: 0.8494, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6561, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8424, kappa: 0.6766, kb_relative_information_score: 2898.5443, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8447, predictive_accuracy: 0.8438, prior_entropy: 0.9851, recall: 0.8438, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6553, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4163, kb_relative_information_score: -0.708, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9851, recall: 0.572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4948, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8869, kappa: 0.769, kb_relative_information_score: 3299.0966, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9851, recall: 0.887, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5668, scimark_benchmark: 1339.6197, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.719, kappa: 0.4264, kb_relative_information_score: 1338.0466, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.7192, predictive_accuracy: 0.7188, prior_entropy: 0.9851, recall: 0.7188, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8806, scimark_benchmark: 1333.202, usercpu_time_millis: 5930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5900,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8571, kappa: 0.7075, kb_relative_information_score: 3149.6552, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.8573, predictive_accuracy: 0.8576, prior_entropy: 0.9851, recall: 0.8576, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6753, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9019, kappa: 0.7993, kb_relative_information_score: 3524.5137, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4897, number_of_instances: 5000, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.9851, recall: 0.902, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5325, scimark_benchmark: 1326.2019, 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

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From your own software

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

OpenML APIs