Task
Supervised Classification on fri_c0_250_10

Supervised Classification on fri_c0_250_10

Task 4334 Supervised Classification fri_c0_250_10 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7671, kappa: 0.5344, kb_relative_information_score: 1050.3231, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7677, predictive_accuracy: 0.7672, prior_entropy: 1, recall: 0.7672, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8264, kappa: 0.6528, kb_relative_information_score: 1200.2252, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8264, predictive_accuracy: 0.8264, prior_entropy: 1, recall: 0.8264, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7297, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8288, kappa: 0.6576, kb_relative_information_score: 1392.8927, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8289, predictive_accuracy: 0.8288, prior_entropy: 1, recall: 0.8288, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.365, root_relative_squared_error: 0.73, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8292, kappa: 0.6584, kb_relative_information_score: 1646, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8292, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 944.1067, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8292, kappa: 0.6584, kb_relative_information_score: 1646, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8292, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 1231.2553, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7199, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8244, kappa: 0.6488, kb_relative_information_score: 1319.3114, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8244, predictive_accuracy: 0.8244, prior_entropy: 1, recall: 0.8244, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7008, scimark_benchmark: 904.0772, usercpu_time_millis: 1340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8188, kappa: 0.6376, kb_relative_information_score: 1263.4138, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8188, predictive_accuracy: 0.8188, prior_entropy: 1, recall: 0.8188, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7714, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8292, kappa: 0.6584, kb_relative_information_score: 1646, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8292, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8292, kappa: 0.6584, kb_relative_information_score: 1646, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8292, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.768, kappa: 0.536, kb_relative_information_score: 967.8166, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7682, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8118, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8643, kappa: 0.7288, kb_relative_information_score: 1297.7889, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8654, predictive_accuracy: 0.8644, prior_entropy: 1, recall: 0.8644, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6719, scimark_benchmark: 947.1781, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7671, kappa: 0.5344, kb_relative_information_score: 1050.3231, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7677, predictive_accuracy: 0.7672, prior_entropy: 1, recall: 0.7672, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8264, kappa: 0.6528, kb_relative_information_score: 1200.2252, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8264, predictive_accuracy: 0.8264, prior_entropy: 1, recall: 0.8264, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7297, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8288, kappa: 0.6576, kb_relative_information_score: 1392.8927, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8289, predictive_accuracy: 0.8288, prior_entropy: 1, recall: 0.8288, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.365, root_relative_squared_error: 0.73, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8292, kappa: 0.6584, kb_relative_information_score: 1646, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8292, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 927.2882, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8292, kappa: 0.6584, kb_relative_information_score: 1646, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8292, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 934.5964, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.768, kappa: 0.536, kb_relative_information_score: 967.8166, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7682, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8118, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 1231.2553, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7199, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8188, kappa: 0.6376, kb_relative_information_score: 1263.4138, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8188, predictive_accuracy: 0.8188, prior_entropy: 1, recall: 0.8188, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7714, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8643, kappa: 0.7288, kb_relative_information_score: 1297.7889, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8654, predictive_accuracy: 0.8644, prior_entropy: 1, recall: 0.8644, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6719, scimark_benchmark: 901.4991, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8568, kappa: 0.7136, kb_relative_information_score: 1207.4215, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8568, predictive_accuracy: 0.8568, prior_entropy: 1, recall: 0.8568, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6861, scimark_benchmark: 943.6618, usercpu_time_millis: 1770, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8524, kappa: 0.7048, kb_relative_information_score: 1203.9167, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8525, predictive_accuracy: 0.8524, prior_entropy: 1, recall: 0.8524, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6895, scimark_benchmark: 933.3455, usercpu_time_millis: 600, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8544, kappa: 0.7088, kb_relative_information_score: 1208.8404, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8544, predictive_accuracy: 0.8544, prior_entropy: 1, recall: 0.8544, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.693, scimark_benchmark: 929.7512, usercpu_time_millis: 290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8372, kappa: 0.6744, kb_relative_information_score: 1186.2361, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8372, predictive_accuracy: 0.8372, prior_entropy: 1, recall: 0.8372, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7062, scimark_benchmark: 917.2109, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.822, kappa: 0.644, kb_relative_information_score: 1161.4955, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8222, predictive_accuracy: 0.822, prior_entropy: 1, recall: 0.822, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7313, scimark_benchmark: 862.7006, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8428, kappa: 0.6856, kb_relative_information_score: 1630.3519, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8428, predictive_accuracy: 0.8428, prior_entropy: 1, recall: 0.8428, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7116, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8428, kappa: 0.6856, kb_relative_information_score: 1630.3519, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8428, predictive_accuracy: 0.8428, prior_entropy: 1, recall: 0.8428, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7116, scimark_benchmark: 889.4922, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8336, kappa: 0.6672, kb_relative_information_score: 1554.9539, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8336, predictive_accuracy: 0.8336, prior_entropy: 1, recall: 0.8336, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7148, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.768, kappa: 0.536, kb_relative_information_score: 967.8166, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7682, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8118, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 1231.2553, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7199, scimark_benchmark: 1317.5857, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8643, kappa: 0.7288, kb_relative_information_score: 1297.7889, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8654, predictive_accuracy: 0.8644, prior_entropy: 1, recall: 0.8644, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6719, scimark_benchmark: 1324.6442, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8244, kappa: 0.6488, kb_relative_information_score: 1319.3119, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8244, predictive_accuracy: 0.8244, prior_entropy: 1, recall: 0.8244, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7008, scimark_benchmark: 1309.2287, usercpu_time_millis: 1000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.768, kappa: 0.536, kb_relative_information_score: 967.8166, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7682, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8118, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8188, kappa: 0.6376, kb_relative_information_score: 1263.4138, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8188, predictive_accuracy: 0.8188, prior_entropy: 1, recall: 0.8188, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7714, scimark_benchmark: 1358.6198, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8643, kappa: 0.7288, kb_relative_information_score: 1297.7889, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8654, predictive_accuracy: 0.8644, prior_entropy: 1, recall: 0.8644, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6719, scimark_benchmark: 1354.5533, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8068, kappa: 0.6136, kb_relative_information_score: 1264.3071, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8068, predictive_accuracy: 0.8068, prior_entropy: 1, recall: 0.8068, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7622, scimark_benchmark: 1350.1007, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 1231.2553, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7199, scimark_benchmark: 1330.4755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1333.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7671, kappa: 0.5344, kb_relative_information_score: 1050.3231, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7677, predictive_accuracy: 0.7672, prior_entropy: 1, recall: 0.7672, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.5376, kb_relative_information_score: 987.9546, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8188, kappa: 0.6376, kb_relative_information_score: 1263.4138, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8188, predictive_accuracy: 0.8188, prior_entropy: 1, recall: 0.8188, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7714, scimark_benchmark: 1331.0107, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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