Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 1782 Supervised Classification mfeat-morphological 305 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.6914, kappa: 0.6659, kb_relative_information_score: 7050.7064, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7002, predictive_accuracy: 0.6993, prior_entropy: 3.3219, recall: 0.6993, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6561, scimark_benchmark: 851.2074, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.7124, kappa: 0.6829, kb_relative_information_score: 7422.9858, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.714, predictive_accuracy: 0.7146, prior_entropy: 3.3219, recall: 0.7146, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.6363, scimark_benchmark: 941.6675, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.7094, kappa: 0.6783, kb_relative_information_score: 7348.8604, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7093, predictive_accuracy: 0.7105, prior_entropy: 3.3219, recall: 0.7105, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.198, root_relative_squared_error: 0.66, scimark_benchmark: 931.771, usercpu_time_millis: 820, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.2485, kappa: 0.149, kb_relative_information_score: 1990.5434, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3062, predictive_accuracy: 0.2341, prior_entropy: 3.3219, recall: 0.2341, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.3046, scimark_benchmark: 941.3847, usercpu_time_millis: 1140, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.7039, kappa: 0.6741, kb_relative_information_score: 6876.258, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7062, predictive_accuracy: 0.7067, prior_entropy: 3.3219, recall: 0.7067, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.665, scimark_benchmark: 947.1781, usercpu_time_millis: 810, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.7094, kappa: 0.6783, kb_relative_information_score: 7348.8604, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7093, predictive_accuracy: 0.7105, prior_entropy: 3.3219, recall: 0.7105, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.198, root_relative_squared_error: 0.66, scimark_benchmark: 943.1009, usercpu_time_millis: 840, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.6914, kappa: 0.6659, kb_relative_information_score: 7050.7064, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7002, predictive_accuracy: 0.6993, prior_entropy: 3.3219, recall: 0.6993, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6561, scimark_benchmark: 608.4057, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.2485, kappa: 0.149, kb_relative_information_score: 1990.5434, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3062, predictive_accuracy: 0.2341, prior_entropy: 3.3219, recall: 0.2341, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.3046, scimark_benchmark: 927.2882, usercpu_time_millis: 1080, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.7124, kappa: 0.6829, kb_relative_information_score: 7422.9858, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.714, predictive_accuracy: 0.7146, prior_entropy: 3.3219, recall: 0.7146, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.6363, scimark_benchmark: 933.3455, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.7039, kappa: 0.6741, kb_relative_information_score: 6876.258, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7062, predictive_accuracy: 0.7067, prior_entropy: 3.3219, recall: 0.7067, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.665, scimark_benchmark: 926.5462, usercpu_time_millis: 860, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.7094, kappa: 0.6783, kb_relative_information_score: 7348.8604, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7093, predictive_accuracy: 0.7105, prior_entropy: 3.3219, recall: 0.7105, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.198, root_relative_squared_error: 0.66, scimark_benchmark: 936.9595, usercpu_time_millis: 830, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.7223, kappa: 0.7117, kb_relative_information_score: 7642.2984, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7338, predictive_accuracy: 0.7405, prior_entropy: 3.3219, recall: 0.7405, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6023, scimark_benchmark: 938.988, usercpu_time_millis: 9000, usercpu_time_millis_testing: 1930, usercpu_time_millis_training: 7070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.7231, kappa: 0.7121, kb_relative_information_score: 7637.6909, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7354, predictive_accuracy: 0.7409, prior_entropy: 3.3219, recall: 0.7409, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.181, root_relative_squared_error: 0.6034, scimark_benchmark: 936.3213, usercpu_time_millis: 4280, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 3590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.7238, kappa: 0.7133, kb_relative_information_score: 7638.0345, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7372, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6036, scimark_benchmark: 941.589, usercpu_time_millis: 2080, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.7217, kappa: 0.7101, kb_relative_information_score: 7619.7024, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7349, predictive_accuracy: 0.7391, prior_entropy: 3.3219, recall: 0.7391, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6072, scimark_benchmark: 911.2316, usercpu_time_millis: 1090, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7185, kappa: 0.7072, kb_relative_information_score: 7601.5701, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7302, predictive_accuracy: 0.7365, prior_entropy: 3.3219, recall: 0.7365, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6133, scimark_benchmark: 889.4922, usercpu_time_millis: 650, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.1224, kappa: 0.1098, kb_relative_information_score: 2860.7175, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.1077, predictive_accuracy: 0.1988, prior_entropy: 3.3219, recall: 0.1988, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.1224, kappa: 0.1098, kb_relative_information_score: 2860.7175, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.1077, predictive_accuracy: 0.1988, prior_entropy: 3.3219, recall: 0.1988, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.1224, kappa: 0.1098, kb_relative_information_score: 2860.7175, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.1077, predictive_accuracy: 0.1988, prior_entropy: 3.3219, recall: 0.1988, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.1224, kappa: 0.1098, kb_relative_information_score: 2860.7175, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.1077, predictive_accuracy: 0.1988, prior_entropy: 3.3219, recall: 0.1988, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.1224, kappa: 0.1098, kb_relative_information_score: 2860.7175, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.1077, predictive_accuracy: 0.1988, prior_entropy: 3.3219, recall: 0.1988, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 588.1826, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.725, kappa: 0.6972, kb_relative_information_score: 7244.8016, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7275, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6287, scimark_benchmark: 926.5859, usercpu_time_millis: 610, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7143, kappa: 0.6936, kb_relative_information_score: 7501.7494, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7229, predictive_accuracy: 0.7242, prior_entropy: 3.3219, recall: 0.7242, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6352, scimark_benchmark: 924.4107, usercpu_time_millis: 8510, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 8470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.1428, kappa: 0.1554, kb_relative_information_score: 2858.4328, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.2026, predictive_accuracy: 0.2399, prior_entropy: 3.3219, recall: 0.2399, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9429, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.2485, kappa: 0.149, kb_relative_information_score: 1990.5434, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3062, predictive_accuracy: 0.2341, prior_entropy: 3.3219, recall: 0.2341, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.3046, scimark_benchmark: 890.5596, usercpu_time_millis: 1120, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 770,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.2485, kappa: 0.149, kb_relative_information_score: 1990.5434, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3062, predictive_accuracy: 0.2341, prior_entropy: 3.3219, recall: 0.2341, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.3046, scimark_benchmark: 1327.4841, usercpu_time_millis: 3750, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 2440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1342.4614, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1333.1149, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.7039, kappa: 0.6741, kb_relative_information_score: 6876.258, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7062, predictive_accuracy: 0.7067, prior_entropy: 3.3219, recall: 0.7067, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.665, scimark_benchmark: 1348.2804, usercpu_time_millis: 1170, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.7094, kappa: 0.6783, kb_relative_information_score: 7348.8604, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7093, predictive_accuracy: 0.7105, prior_entropy: 3.3219, recall: 0.7105, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.198, root_relative_squared_error: 0.66, scimark_benchmark: 1303.9481, usercpu_time_millis: 880, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.6766, kappa: 0.6504, kb_relative_information_score: 7256.1833, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6829, predictive_accuracy: 0.6854, prior_entropy: 3.3219, recall: 0.6854, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6987, scimark_benchmark: 1359.7293, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1364.991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.7039, kappa: 0.6741, kb_relative_information_score: 6876.258, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7062, predictive_accuracy: 0.7067, prior_entropy: 3.3219, recall: 0.7067, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.665, scimark_benchmark: 1325.1482, usercpu_time_millis: 1090, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.7094, kappa: 0.6783, kb_relative_information_score: 7348.8604, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7093, predictive_accuracy: 0.7105, prior_entropy: 3.3219, recall: 0.7105, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.198, root_relative_squared_error: 0.66, scimark_benchmark: 1333.202, usercpu_time_millis: 660, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.7151, kappa: 0.685, kb_relative_information_score: 7475.7127, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7175, predictive_accuracy: 0.7165, prior_entropy: 3.3219, recall: 0.7165, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.6252, scimark_benchmark: 1348.2804, usercpu_time_millis: 1720, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.6988, kappa: 0.6702, kb_relative_information_score: 7382.8098, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7018, predictive_accuracy: 0.7032, prior_entropy: 3.3219, recall: 0.7032, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.6569, scimark_benchmark: 1344.0499, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 1353.3951, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.2485, kappa: 0.149, kb_relative_information_score: 1990.5434, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3062, predictive_accuracy: 0.2341, prior_entropy: 3.3219, recall: 0.2341, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.3046, scimark_benchmark: 1329.8008, usercpu_time_millis: 3800, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 2480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.7039, kappa: 0.6741, kb_relative_information_score: 6876.258, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7062, predictive_accuracy: 0.7067, prior_entropy: 3.3219, recall: 0.7067, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.665, scimark_benchmark: 1260.1387, usercpu_time_millis: 1100, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.6766, kappa: 0.6504, kb_relative_information_score: 7256.1833, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6829, predictive_accuracy: 0.6854, prior_entropy: 3.3219, recall: 0.6854, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6987, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.7039, kappa: 0.6741, kb_relative_information_score: 6876.258, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7062, predictive_accuracy: 0.7067, prior_entropy: 3.3219, recall: 0.7067, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.665, scimark_benchmark: 1281.7531, usercpu_time_millis: 1140, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.7094, kappa: 0.6783, kb_relative_information_score: 7348.8604, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7093, predictive_accuracy: 0.7105, prior_entropy: 3.3219, recall: 0.7105, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.198, root_relative_squared_error: 0.66, scimark_benchmark: 1326.8946, usercpu_time_millis: 740, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.2485, kappa: 0.149, kb_relative_information_score: 1990.5434, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3062, predictive_accuracy: 0.2341, prior_entropy: 3.3219, recall: 0.2341, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.3046, scimark_benchmark: 918.0213, usercpu_time_millis: 1010, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.6766, kappa: 0.6504, kb_relative_information_score: 7256.1833, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6829, predictive_accuracy: 0.6854, prior_entropy: 3.3219, recall: 0.6854, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6987, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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