Task
Supervised Classification on fri_c0_250_10

Supervised Classification on fri_c0_250_10

Task 3629 Supervised Classification fri_c0_250_10 567 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: 0.8903, f_measure: 0.8559, kappa: 0.712, kb_relative_information_score: 147.9166, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8568, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.82, kappa: 0.64, kb_relative_information_score: 126.44, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 100.6944, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 143.4918, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 120.0474, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7877, kappa: 0.576, kb_relative_information_score: 121.5964, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7895, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 151.8392, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8083, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 160.9461, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8323, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.6982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 154.2158, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7188, kappa: 0.44, kb_relative_information_score: 107.3508, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7237, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 121.2536, mean_absolute_error: 0.2768, 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: 0.5536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7998, kappa: 0.6, kb_relative_information_score: 105.0337, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8012, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7626, kappa: 0.528, kb_relative_information_score: 90.0912, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7702, predictive_accuracy: 0.764, prior_entropy: 1, recall: 0.764, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.784, kappa: 0.568, kb_relative_information_score: 136.9537, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7841, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 135.1442, mean_absolute_error: 0.2427, 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: 0.4855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 79.9176, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7877, kappa: 0.576, kb_relative_information_score: 98.9411, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7895, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7838, kappa: 0.568, kb_relative_information_score: 109.1289, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7852, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8559, kappa: 0.712, kb_relative_information_score: 150.4643, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8568, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 140.3046, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 120.0517, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 127.0714, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 120.0517, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 152, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 115.552, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 140.3046, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8077, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.81, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7799, kappa: 0.56, kb_relative_information_score: 140, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 129.3521, mean_absolute_error: 0.2606, 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: 0.5212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.792, kappa: 0.584, kb_relative_information_score: 103.646, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.792, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 120.0517, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7198, kappa: 0.44, kb_relative_information_score: 110, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7198, kappa: 0.44, kb_relative_information_score: 110, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7198, kappa: 0.44, kb_relative_information_score: 110, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7198, kappa: 0.44, kb_relative_information_score: 110, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7198, kappa: 0.44, kb_relative_information_score: 110, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7198, kappa: 0.44, kb_relative_information_score: 110, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7198, kappa: 0.44, kb_relative_information_score: 110, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7198, kappa: 0.44, kb_relative_information_score: 110, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 132.4006, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8234, kappa: 0.648, kb_relative_information_score: 120.5653, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8281, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.788, kappa: 0.576, kb_relative_information_score: 144, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7882, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.728, kappa: 0.456, kb_relative_information_score: 114, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7281, predictive_accuracy: 0.728, prior_entropy: 1, recall: 0.728, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0431, scimark_benchmark: 1631.1992, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7999, kappa: 0.6, kb_relative_information_score: 150, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, scimark_benchmark: 1697.6783, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 166, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7999, kappa: 0.6, kb_relative_information_score: 150, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, scimark_benchmark: 1346.0929, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.764, kappa: 0.528, kb_relative_information_score: 109.5134, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7642, predictive_accuracy: 0.764, prior_entropy: 1, recall: 0.764, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8454, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 134.9444, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.785, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.8119, kappa: 0.624, kb_relative_information_score: 128.3696, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.813, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.7981, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.784, kappa: 0.568, kb_relative_information_score: 109.2499, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7841, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7826, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7919, kappa: 0.584, kb_relative_information_score: 112.3192, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7927, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7787, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7915, kappa: 0.584, kb_relative_information_score: 146, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7947, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9121, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 152, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854, scimark_benchmark: 1495.1051, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 143.4918, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7435, scimark_benchmark: 981.0437, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 117.5644, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.804, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7591, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7278, kappa: 0.464, kb_relative_information_score: 113.6358, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7472, predictive_accuracy: 0.732, prior_entropy: 1, recall: 0.732, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.724, kappa: 0.456, kb_relative_information_score: 111.6422, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7419, predictive_accuracy: 0.728, prior_entropy: 1, recall: 0.728, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7913, kappa: 0.584, kb_relative_information_score: 85.9447, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7957, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7901, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7679, kappa: 0.536, kb_relative_information_score: 113.0027, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7686, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8129, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7877, kappa: 0.576, kb_relative_information_score: 98.9411, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7895, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7908, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.772, kappa: 0.544, kb_relative_information_score: 136, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7722, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955,

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