OpenML
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 3841 Supervised Classification mfeat-factors 568 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9781, kappa: 0.8789, kb_relative_information_score: -65.0901, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 0.4703, recall: 0.978, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.5982, scimark_benchmark: 936.1714, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9945, kappa: 0.9696, kb_relative_information_score: 1913.4836, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.6745, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1651, scimark_benchmark: 926.5859, usercpu_time_millis: 15180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 15160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1960.5153, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.157, scimark_benchmark: 935.6052, usercpu_time_millis: 7350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9945, kappa: 0.9691, kb_relative_information_score: 1914.3021, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.2265, scimark_benchmark: 938.3115, usercpu_time_millis: 3810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.991, kappa: 0.9498, kb_relative_information_score: 1867.6765, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.2951, scimark_benchmark: 935.6052, usercpu_time_millis: 1890, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9797, kappa: 0.8883, kb_relative_information_score: 1693.4849, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.98, predictive_accuracy: 0.9795, prior_entropy: 0.4703, recall: 0.9795, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4498, scimark_benchmark: 940.0055, usercpu_time_millis: 950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.989, kappa: 0.9389, kb_relative_information_score: 1827.213, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3498, scimark_benchmark: 942.6192, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.994, kappa: 0.9664, kb_relative_information_score: 1567.0533, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.4703, recall: 0.994, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.2794, scimark_benchmark: 923.7471, usercpu_time_millis: 106450, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 106390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9816, kappa: 0.8984, kb_relative_information_score: 1520.8105, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9817, predictive_accuracy: 0.9815, prior_entropy: 0.4703, recall: 0.9815, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.127, root_relative_squared_error: 0.4232, scimark_benchmark: 933.0918, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9869, kappa: 0.9265, kb_relative_information_score: 1765.0764, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.4703, recall: 0.987, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3732, scimark_benchmark: 907.1091, usercpu_time_millis: 340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.991, kappa: 0.95, kb_relative_information_score: 1811.7787, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.2716, scimark_benchmark: 919.6941, usercpu_time_millis: 2160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9919, kappa: 0.955, kb_relative_information_score: 1846.6961, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.266, scimark_benchmark: 933.5515, usercpu_time_millis: 6480, usercpu_time_millis_training: 6480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 939.3886, usercpu_time_millis: 37480, usercpu_time_millis_testing: 19670, usercpu_time_millis_training: 17810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 939.3886, usercpu_time_millis: 27110, usercpu_time_millis_testing: 8870, usercpu_time_millis_training: 18240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9531, kappa: 0.7613, kb_relative_information_score: 1254.6638, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.962, predictive_accuracy: 0.9495, prior_entropy: 0.4703, recall: 0.9495, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, scimark_benchmark: 938.838, usercpu_time_millis: 350, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 922.5036, usercpu_time_millis: 1560, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 922.5036, usercpu_time_millis: 1480, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 946.9304, usercpu_time_millis: 1500, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9904, kappa: 0.9464, kb_relative_information_score: 1790.3682, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.2897, scimark_benchmark: 922.5036, usercpu_time_millis: 1310, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.9718, kb_relative_information_score: 1896.819, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.2184, scimark_benchmark: 946.9304, usercpu_time_millis: 52750, usercpu_time_millis_testing: 6250, usercpu_time_millis_training: 46500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 879.4299, usercpu_time_millis: 1690, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.99, kappa: 0.9439, kb_relative_information_score: 1819.9524, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.3261, scimark_benchmark: 901.8743, usercpu_time_millis: 89900, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 89820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9929, kappa: 0.96, kb_relative_information_score: 1773.5295, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2619, scimark_benchmark: 946.9304, usercpu_time_millis: 790, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9869, kappa: 0.9265, kb_relative_information_score: 1765.0764, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.4703, recall: 0.987, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3732, scimark_benchmark: 936.4883, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1340.2044, usercpu_time_millis: 67630, usercpu_time_millis_testing: 28080, usercpu_time_millis_training: 39550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1322.0065, usercpu_time_millis: 43570, usercpu_time_millis_testing: 23210, usercpu_time_millis_training: 20360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9531, kappa: 0.7613, kb_relative_information_score: 1254.6638, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.962, predictive_accuracy: 0.9495, prior_entropy: 0.4703, recall: 0.9495, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, scimark_benchmark: 1327.5842, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1327.5842, usercpu_time_millis: 1050, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.99, kappa: 0.9439, kb_relative_information_score: 1819.9524, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.3261, scimark_benchmark: 1327.5842, usercpu_time_millis: 102740, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 102530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1325.8468, usercpu_time_millis: 33300, usercpu_time_millis_testing: 17030, usercpu_time_millis_training: 16270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1322.5413, usercpu_time_millis: 1210, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9904, kappa: 0.9464, kb_relative_information_score: 1790.3682, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.2897, scimark_benchmark: 1318.6467, usercpu_time_millis: 1330, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1292.514, usercpu_time_millis: 1080, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1342.8632, usercpu_time_millis: 1100, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 310,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.99, kappa: 0.9439, kb_relative_information_score: 1819.9524, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.3261, scimark_benchmark: 1309.2287, usercpu_time_millis: 96470, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 96250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9929, kappa: 0.96, kb_relative_information_score: 1773.5295, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2619, scimark_benchmark: 1342.2845, usercpu_time_millis: 740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9869, kappa: 0.9265, kb_relative_information_score: 1765.0764, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.4703, recall: 0.987, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3732, scimark_benchmark: 1310.6554, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.991, kappa: 0.95, kb_relative_information_score: 1811.7787, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.2716, scimark_benchmark: 1319.5773, usercpu_time_millis: 1480, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9919, kappa: 0.955, kb_relative_information_score: 1846.6961, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.266, scimark_benchmark: 1344.0499, usercpu_time_millis: 5730, usercpu_time_millis_training: 5730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1913.8946, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1583, scimark_benchmark: 1346.2927, usercpu_time_millis: 4140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1354.4815, usercpu_time_millis: 67360, usercpu_time_millis_testing: 26420, usercpu_time_millis_training: 40940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1333.9912, usercpu_time_millis: 980, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1330.6748, usercpu_time_millis: 1010, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9904, kappa: 0.9464, kb_relative_information_score: 1790.3682, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.2897, scimark_benchmark: 1360.8788, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 929.0363, usercpu_time_millis: 1670, usercpu_time_millis_testing: 1220, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9909, kappa: 0.9491, kb_relative_information_score: 1799.0316, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.2738, scimark_benchmark: 1310.3168, usercpu_time_millis: 20780, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9929, kappa: 0.96, kb_relative_information_score: 1773.5295, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2619, scimark_benchmark: 1324.6608, usercpu_time_millis: 620, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1260.1387, usercpu_time_millis: 37900, usercpu_time_millis_testing: 19020, usercpu_time_millis_training: 18880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1354.3488, usercpu_time_millis: 1260, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.9718, kb_relative_information_score: 1896.819, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.2184, scimark_benchmark: 1347.993, usercpu_time_millis: 28230, usercpu_time_millis_testing: 4680, usercpu_time_millis_training: 23550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.991, kappa: 0.95, kb_relative_information_score: 1811.7787, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.2716, scimark_benchmark: 1322.7257, usercpu_time_millis: 1470, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1347.993, usercpu_time_millis: 1220, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9929, kappa: 0.96, kb_relative_information_score: 1773.5295, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2619, scimark_benchmark: 1322.7257, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1335.5424, usercpu_time_millis: 1010, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.9718, kb_relative_information_score: 1896.819, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.2184, scimark_benchmark: 1331.5882, usercpu_time_millis: 37860, usercpu_time_millis_testing: 5020, usercpu_time_millis_training: 32840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1341.5795, usercpu_time_millis: 1050, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.991, kappa: 0.95, kb_relative_information_score: 1811.7787, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.2716, scimark_benchmark: 1280.6338, usercpu_time_millis: 1570, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9531, kappa: 0.7613, kb_relative_information_score: 1254.6638, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.962, predictive_accuracy: 0.9495, prior_entropy: 0.4703, recall: 0.9495, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, scimark_benchmark: 918.0213, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 918.0213, usercpu_time_millis: 1730, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 918.0213, usercpu_time_millis: 1760, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1288.1375, usercpu_time_millis: 1260, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9955, kappa: 0.9749, kb_relative_information_score: 1926.5395, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.4703, recall: 0.9955, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.2156, scimark_benchmark: 918.0213, usercpu_time_millis: 1080, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 820,

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