OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2633, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, root_mean_prior_squared_error: 0.3611, scimark_benchmark: 1857.6392, usercpu_time_millis: 50.448, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 49.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2903, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1848.916, usercpu_time_millis: 46.783, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 45.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6203.2084, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.1248, scimark_benchmark: 1855.4813, usercpu_time_millis: 6.974, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 6.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.9241, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0003, root_relative_squared_error: 0.0007, scimark_benchmark: 1855.0232, usercpu_time_millis: 30.318, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 29.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.7017, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0676, scimark_benchmark: 1853.9121, usercpu_time_millis: 66.963, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 65.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.1203, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1848.916, usercpu_time_millis: 11.643, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 11.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3104, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1854.4951, usercpu_time_millis: 72.193, usercpu_time_millis_testing: 1.447, usercpu_time_millis_training: 70.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6581.8516, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0028, root_relative_squared_error: 0.0076, scimark_benchmark: 1853.9121, usercpu_time_millis: 24.012, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 23.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.646, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1850.8185, usercpu_time_millis: 79.064, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 77.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6171.7055, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1559, scimark_benchmark: 1836.1651, usercpu_time_millis: 28.192, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 27.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.6722, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0004, root_relative_squared_error: 0.0012, scimark_benchmark: 1853.454, usercpu_time_millis: 16.545, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 16.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6586.8558, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.002, root_relative_squared_error: 0.0054, scimark_benchmark: 1855.0232, usercpu_time_millis: 69.289, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 67.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6584.8106, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0027, root_relative_squared_error: 0.0074, scimark_benchmark: 1848.2722, usercpu_time_millis: 17.734, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 17.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6430.9167, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0657, scimark_benchmark: 1801.4848, usercpu_time_millis: 57.628, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 56.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.5686, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0011, root_relative_squared_error: 0.0029, scimark_benchmark: 1850.2875, usercpu_time_millis: 68.921, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 67.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9902, kappa: 0.9618, kb_relative_information_score: 5504.05, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 0.6204, recall: 0.9903, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3053, scimark_benchmark: 1843.1261, usercpu_time_millis: 40.611, usercpu_time_millis_testing: 2.056, usercpu_time_millis_training: 38.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.4838, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.068, scimark_benchmark: 1856.7258, usercpu_time_millis: 75.804, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 74.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.1295, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1837.8654, usercpu_time_millis: 39.331, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 38.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.9782, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0003, root_relative_squared_error: 0.0008, scimark_benchmark: 1853.3841, usercpu_time_millis: 53.826, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 52.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6517.2485, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0251, root_relative_squared_error: 0.0695, scimark_benchmark: 1851.3986, usercpu_time_millis: 32.056, usercpu_time_millis_testing: 1.031, usercpu_time_millis_training: 31.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6534.4935, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0087, root_relative_squared_error: 0.0241, scimark_benchmark: 1850.2875, usercpu_time_millis: 33.676, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 32.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 5727.9248, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.2281, scimark_benchmark: 1852.3877, usercpu_time_millis: 10.947, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 10.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6250.2949, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.1141, scimark_benchmark: 1849.9051, usercpu_time_millis: 79.891, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 77.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6496.5586, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0258, root_relative_squared_error: 0.0714, scimark_benchmark: 1855.0232, usercpu_time_millis: 65.663, usercpu_time_millis_testing: 2.223, usercpu_time_millis_training: 63.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3097, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1849.7595, usercpu_time_millis: 63.761, usercpu_time_millis_testing: 1.586, usercpu_time_millis_training: 62.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6566.6563, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0047, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.069, scimark_benchmark: 1855.4813, usercpu_time_millis: 5.311, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 5.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6513.7328, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0129, root_relative_squared_error: 0.0358, scimark_benchmark: 1856.5802, usercpu_time_millis: 33.216, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 32.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.015, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0011, root_relative_squared_error: 0.0029, scimark_benchmark: 1741.4453, usercpu_time_millis: 38.171, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 37.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.9053, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0006, root_relative_squared_error: 0.0016, scimark_benchmark: 1855.0232, usercpu_time_millis: 18.604, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 18.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6511.9116, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0686, scimark_benchmark: 1849.8294, usercpu_time_millis: 85.863, usercpu_time_millis_testing: 2.134, usercpu_time_millis_training: 83.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6545.2966, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.024, root_relative_squared_error: 0.0664, scimark_benchmark: 1853.9121, usercpu_time_millis: 82.022, usercpu_time_millis_testing: 1.939, usercpu_time_millis_training: 80.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6449.5725, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0293, root_relative_squared_error: 0.081, scimark_benchmark: 1853.3841, usercpu_time_millis: 4.377, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 4.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3167, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1850.2875, usercpu_time_millis: 83.564, usercpu_time_millis_testing: 1.786, usercpu_time_millis_training: 81.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6495.461, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0422, scimark_benchmark: 1853.9121, usercpu_time_millis: 67.027, usercpu_time_millis_testing: 1.666, usercpu_time_millis_training: 65.361,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6379.3935, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0308, root_relative_squared_error: 0.0853, scimark_benchmark: 1855.0232, usercpu_time_millis: 96.683, usercpu_time_millis_testing: 2.492, usercpu_time_millis_training: 94.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.1537, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1854.9533, usercpu_time_millis: 30.322, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 29.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6571.3008, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1853.9121, usercpu_time_millis: 69.827, usercpu_time_millis_testing: 1.926, usercpu_time_millis_training: 67.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 5599.0722, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.2646, scimark_benchmark: 1846.6923, usercpu_time_millis: 57.839, usercpu_time_millis_testing: 3.002, usercpu_time_millis_training: 54.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9525, kappa: 0.8071, kb_relative_information_score: 4187.5611, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9577, predictive_accuracy: 0.9556, prior_entropy: 0.6204, recall: 0.9556, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5091, scimark_benchmark: 1808.9842, usercpu_time_millis: 73.416, usercpu_time_millis_testing: 7.008, usercpu_time_millis_training: 66.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6569.964, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0674, scimark_benchmark: 1851.3986, usercpu_time_millis: 14.443, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 13.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5834.1255, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.074, root_relative_squared_error: 0.205, scimark_benchmark: 1735.0804, usercpu_time_millis: 53.103, usercpu_time_millis_testing: 2.727, usercpu_time_millis_training: 50.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.0179, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0014, root_relative_squared_error: 0.0039, scimark_benchmark: 1858.6076, usercpu_time_millis: 14.835, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 14.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6505.9325, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0136, root_relative_squared_error: 0.0376, scimark_benchmark: 1848.6795, usercpu_time_millis: 30.582, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 29.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9852, kappa: 0.9421, kb_relative_information_score: 5174.496, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 0.6204, recall: 0.9855, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.3635, scimark_benchmark: 1855.0232, usercpu_time_millis: 12.344, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 11.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6499.2258, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0144, root_relative_squared_error: 0.04, scimark_benchmark: 1852.9988, usercpu_time_millis: 32.653, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 31.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.6259, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.068, scimark_benchmark: 1846.8212, usercpu_time_millis: 46.582, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 45.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2412, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, scimark_benchmark: 1851.8567, usercpu_time_millis: 34.565, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 33.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.2703, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.002, scimark_benchmark: 1859.1356, usercpu_time_millis: 68.188, usercpu_time_millis_testing: 1.527, usercpu_time_millis_training: 66.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6146.5309, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1348, scimark_benchmark: 1850.2875, usercpu_time_millis: 65.09, usercpu_time_millis_testing: 2.627, usercpu_time_millis_training: 62.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.3166, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1840.2451, usercpu_time_millis: 58.434, usercpu_time_millis_testing: 1.803, usercpu_time_millis_training: 56.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6299.8193, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1153, scimark_benchmark: 1801.0995, usercpu_time_millis: 78.892, usercpu_time_millis_testing: 2.309, usercpu_time_millis_training: 76.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.061, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1850.2875, usercpu_time_millis: 36.713, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 35.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6470.1417, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0732, scimark_benchmark: 1850.2875, usercpu_time_millis: 42.095, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 40.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.687, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0013, root_relative_squared_error: 0.0035, scimark_benchmark: 1850.2875, usercpu_time_millis: 32.343, usercpu_time_millis_testing: 1.097, usercpu_time_millis_training: 31.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6564.5376, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1834.8102, usercpu_time_millis: 42.958, usercpu_time_millis_testing: 1.599, usercpu_time_millis_training: 41.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5959.2951, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1982, scimark_benchmark: 1841.7546, usercpu_time_millis: 64.663, usercpu_time_millis_testing: 2.598, usercpu_time_millis_training: 62.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2633, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, root_mean_prior_squared_error: 0.3611, scimark_benchmark: 1853.3841, usercpu_time_millis: 69.075, usercpu_time_millis_testing: 1.43, usercpu_time_millis_training: 67.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.1341, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1853.9121, usercpu_time_millis: 69.791, usercpu_time_millis_testing: 1.598, usercpu_time_millis_training: 68.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2563, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0, root_relative_squared_error: 0.0001, scimark_benchmark: 1848.2615, usercpu_time_millis: 26.939, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 26.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9527, kappa: 0.8081, kb_relative_information_score: 4196.1021, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9578, predictive_accuracy: 0.9557, prior_entropy: 0.6204, recall: 0.9557, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.5085, scimark_benchmark: 1741.4453, usercpu_time_millis: 55.357, usercpu_time_millis_testing: 5.418, usercpu_time_millis_training: 49.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.255, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0, root_relative_squared_error: 0.0001, scimark_benchmark: 1832.5187, usercpu_time_millis: 80.56, usercpu_time_millis_testing: 1.783, usercpu_time_millis_training: 78.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9859, kb_relative_information_score: 5189.5699, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.3345, scimark_benchmark: 1850.3603, usercpu_time_millis: 25.206, usercpu_time_millis_testing: 1.598, usercpu_time_millis_training: 23.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6516.7617, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.013, root_relative_squared_error: 0.0359, scimark_benchmark: 1851.8567, usercpu_time_millis: 55.63, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 54.371,

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