OpenML
Supervised Classification on prnn_synth

Supervised Classification on prnn_synth

Task 3555 Supervised Classification prnn_synth 896 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 163.2266, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 163.2699, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.5843, kappa: 0.184, kb_relative_information_score: 2.1977, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5994, predictive_accuracy: 0.592, prior_entropy: 1, recall: 0.592, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.5843, kappa: 0.184, kb_relative_information_score: 2.1977, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5994, predictive_accuracy: 0.592, prior_entropy: 1, recall: 0.592, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 152.0127, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 113.9699, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8446, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 163.2266, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 163.2266, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 163.2699, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 163.2266, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8558, kappa: 0.712, kb_relative_information_score: 150.7827, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8583, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6801, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 143.5247, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6619, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 161.8442, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6581, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8438, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8438, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 150.7194, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6741, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 152.0081, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6567, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 146.4851, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6501, scimark_benchmark: 936.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 148.9329, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6705, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8438, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 148.9329, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6705, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.1036, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6819, scimark_benchmark: 947.1781, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8558, kappa: 0.712, kb_relative_information_score: 150.7827, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8583, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6801, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 143.5247, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6619, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 161.8442, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6581, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8438, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 152.0081, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6567, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 146.4851, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6501, scimark_benchmark: 945.6228, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 148.9329, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6705, scimark_benchmark: 941.3057, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.1036, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6819, scimark_benchmark: 1051.249, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8517, kappa: 0.704, kb_relative_information_score: 152.5434, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8547, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6614, scimark_benchmark: 870.2101, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8436, kappa: 0.688, kb_relative_information_score: 151.7441, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8478, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6634, scimark_benchmark: 938.988, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 152.0081, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6567, scimark_benchmark: 1313.8988,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8438, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 146.4851, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6501, scimark_benchmark: 1322.5413, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 148.9329, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6705, scimark_benchmark: 1331.7953, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 150.7194, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6741, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 152.0081, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6567, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8558, kappa: 0.712, kb_relative_information_score: 150.7827, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8583, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6801, scimark_benchmark: 1296.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8438, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.1036, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6819, scimark_benchmark: 1374.9737, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8558, kappa: 0.712, kb_relative_information_score: 150.7827, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8583, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6801, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 150.7194, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6741, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 150.6667, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799, scimark_benchmark: 1319.4538,

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