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: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.8263, 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: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1846.6923, usercpu_time_millis: 17.189, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 16.596,
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: 1733.3606, usercpu_time_millis: 41.938, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 40.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6533.201, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0288, scimark_benchmark: 1851.3986, usercpu_time_millis: 25.6, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 25.022,
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: 1853.9121, usercpu_time_millis: 3.621, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 3.443,
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: 1853.9121, usercpu_time_millis: 25.582, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 25.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.979, 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: 1852.9259, usercpu_time_millis: 34.992, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 33.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.1443, 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: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1855.4813, usercpu_time_millis: 43.727, usercpu_time_millis_testing: 1.667, usercpu_time_millis_training: 42.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.26, 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: 0.0031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.068, scimark_benchmark: 1853.0716, usercpu_time_millis: 28.436, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 27.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6580.7596, 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: 0.0036, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0033, root_relative_squared_error: 0.0091, scimark_benchmark: 1847.2179, usercpu_time_millis: 14.62, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 14.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.0636, 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: 0.001, scimark_benchmark: 1849.8294, usercpu_time_millis: 7.325, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 7.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 5700.3177, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.2595, scimark_benchmark: 1850.3603, usercpu_time_millis: 36.401, usercpu_time_millis_testing: 1.667, usercpu_time_millis_training: 34.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6445.247, mean_absolute_error: 0.0089, 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: 0.0341, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.028, root_relative_squared_error: 0.0775, scimark_benchmark: 1853.9121, usercpu_time_millis: 13.152, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 12.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6020.0894, mean_absolute_error: 0.0312, 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: 0.1198, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.1902, scimark_benchmark: 1849.3014, usercpu_time_millis: 47.297, usercpu_time_millis_testing: 1.664, usercpu_time_millis_training: 45.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.734, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1853.454, usercpu_time_millis: 17.197, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 16.573,
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: 1850.2875, usercpu_time_millis: 41.913, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 41.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.3547, 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: 0.0002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0006, root_relative_squared_error: 0.0017, scimark_benchmark: 1855.4813, usercpu_time_millis: 19.319, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 18.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6320.0155, mean_absolute_error: 0.016, 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: 0.0614, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.1117, scimark_benchmark: 1849.8294, usercpu_time_millis: 12.16, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 11.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.6754, 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: 0.0025, 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: 22.242, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 21.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6420.5903, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.0576, scimark_benchmark: 1853.9121, usercpu_time_millis: 29.685, usercpu_time_millis_testing: 1.395, usercpu_time_millis_training: 28.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6537.3296, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0092, root_relative_squared_error: 0.0254, scimark_benchmark: 1838.1793, usercpu_time_millis: 7.191, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 6.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6559.7558, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.006, root_relative_squared_error: 0.0165, scimark_benchmark: 1850.8185, usercpu_time_millis: 46.026, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 45.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6587.641, 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: 0.0019, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0018, root_relative_squared_error: 0.0049, scimark_benchmark: 1731.5003, usercpu_time_millis: 54.349, usercpu_time_millis_testing: 1.262, usercpu_time_millis_training: 53.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6571.5638, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.005, root_relative_squared_error: 0.0138, scimark_benchmark: 1850.8185, usercpu_time_millis: 21.544, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 21.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6537.3602, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0091, root_relative_squared_error: 0.0251, scimark_benchmark: 1855.0232, usercpu_time_millis: 45.377, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 44.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6190.2789, mean_absolute_error: 0.0227, 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: 0.087, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1485, scimark_benchmark: 1843.1261, usercpu_time_millis: 11.299, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 10.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6486.7651, mean_absolute_error: 0.0063, 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: 0.0243, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0256, root_relative_squared_error: 0.071, scimark_benchmark: 1851.3986, usercpu_time_millis: 31.57, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 30.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.1476, 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: 1848.388, usercpu_time_millis: 53.813, usercpu_time_millis_testing: 2.006, usercpu_time_millis_training: 51.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6576.9322, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0033, root_relative_squared_error: 0.0091, scimark_benchmark: 1848.2722, usercpu_time_millis: 53.85, usercpu_time_millis_testing: 1.262, usercpu_time_millis_training: 52.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6565.953, mean_absolute_error: 0.0013, 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: 0.0049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0687, scimark_benchmark: 1742.8369, usercpu_time_millis: 6.622, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 6.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5768.1128, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2209, scimark_benchmark: 1846.3099, usercpu_time_millis: 10.978, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 10.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.4735, 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: 0.0007, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0008, root_relative_squared_error: 0.0024, scimark_benchmark: 1853.9121, usercpu_time_millis: 26.223, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 25.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3089, 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: 1848.7991, usercpu_time_millis: 38.629, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 37.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6493.7324, mean_absolute_error: 0.0059, 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: 0.0224, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0694, scimark_benchmark: 1827.587, usercpu_time_millis: 31.688, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 30.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.0934, 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: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1853.454, usercpu_time_millis: 25.993, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 24.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.7314, 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: 0.0006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.001, root_relative_squared_error: 0.0027, scimark_benchmark: 1830.9346, usercpu_time_millis: 29.697, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 28.717,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6566.2429, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0051, root_relative_squared_error: 0.014, scimark_benchmark: 1744.6645, usercpu_time_millis: 20.299, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 19.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6583.751, 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: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0026, root_relative_squared_error: 0.0073, scimark_benchmark: 1840.2451, usercpu_time_millis: 21.789, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 21.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6346.3219, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0308, root_relative_squared_error: 0.0854, scimark_benchmark: 1850.2875, usercpu_time_millis: 53.696, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 51.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6480.5703, mean_absolute_error: 0.0067, 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: 0.0257, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0261, root_relative_squared_error: 0.0722, scimark_benchmark: 1849.0847, usercpu_time_millis: 17.901, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 17.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6448.2725, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0213, root_relative_squared_error: 0.0591, scimark_benchmark: 1851.4874, usercpu_time_millis: 70.446, usercpu_time_millis_testing: 1.629, usercpu_time_millis_training: 68.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.9242, 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: 1853.454, usercpu_time_millis: 64.768, usercpu_time_millis_testing: 1.483, usercpu_time_millis_training: 63.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.4899, 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: 0.0031, scimark_benchmark: 1855.0232, usercpu_time_millis: 57.682, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 56.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6557.1887, mean_absolute_error: 0.0018, 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: 0.0071, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1845.7061, usercpu_time_millis: 28.894, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 27.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.4561, 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: 0.0681, scimark_benchmark: 1833.7788, usercpu_time_millis: 20.85, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 20.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6510.7736, 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: 0.0185, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.024, root_relative_squared_error: 0.0665, scimark_benchmark: 1847.2233, usercpu_time_millis: 41.222, usercpu_time_millis_testing: 1.121, usercpu_time_millis_training: 40.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6480.8642, mean_absolute_error: 0.0067, 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: 0.0258, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.026, root_relative_squared_error: 0.0721, scimark_benchmark: 1855.0232, usercpu_time_millis: 64.47, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 62.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.99, kappa: 0.9612, kb_relative_information_score: 5464.3125, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.6204, recall: 0.9901, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3131, scimark_benchmark: 1844.1393, usercpu_time_millis: 5.055, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 4.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6540.0274, mean_absolute_error: 0.003, 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: 0.0113, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0685, scimark_benchmark: 1741.8495, usercpu_time_millis: 23.817, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 23.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6428.4491, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.0639, scimark_benchmark: 1830.668, usercpu_time_millis: 20.358, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 19.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9606, kappa: 0.8419, kb_relative_information_score: 4444.7367, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.964, predictive_accuracy: 0.9627, prior_entropy: 0.6204, recall: 0.9627, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.4781, scimark_benchmark: 1849.8294, usercpu_time_millis: 47.903, usercpu_time_millis_testing: 4.454, usercpu_time_millis_training: 43.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9913, kappa: 0.9662, kb_relative_information_score: 5508.3654, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 0.6204, recall: 0.9914, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.109, root_relative_squared_error: 0.302, scimark_benchmark: 1841.7546, usercpu_time_millis: 14.405, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 13.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6413.6785, mean_absolute_error: 0.0109, 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: 0.0417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0306, root_relative_squared_error: 0.0846, scimark_benchmark: 1846.3099, usercpu_time_millis: 56.801, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 55.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6443.6769, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0188, root_relative_squared_error: 0.0521, scimark_benchmark: 1847.3482, usercpu_time_millis: 32.945, usercpu_time_millis_testing: 1.373, usercpu_time_millis_training: 31.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6555.8488, mean_absolute_error: 0.0019, 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: 0.0074, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0241, root_relative_squared_error: 0.0667, scimark_benchmark: 1737.8652, usercpu_time_millis: 78.692, usercpu_time_millis_testing: 1.743, usercpu_time_millis_training: 76.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6589.9168, 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: 0.0013, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0014, root_relative_squared_error: 0.0038, scimark_benchmark: 1853.454, usercpu_time_millis: 65.868, usercpu_time_millis_testing: 2.022, usercpu_time_millis_training: 63.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.1066, 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: 0.0021, scimark_benchmark: 1846.6923, usercpu_time_millis: 61.8, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 60.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.8483, mean_absolute_error: 0.0011, 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: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0677, scimark_benchmark: 1852.9988, usercpu_time_millis: 64.561, usercpu_time_millis_testing: 1.662, usercpu_time_millis_training: 62.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.0883, 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: 0.0003, root_relative_squared_error: 0.0008, scimark_benchmark: 1857.1082, usercpu_time_millis: 9.056, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 8.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6286.1608, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1045, scimark_benchmark: 1842.6679, usercpu_time_millis: 33.218, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 32.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.7495, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1845.7061, usercpu_time_millis: 37.201, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 36.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6206.0831, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1333, scimark_benchmark: 1853.9121, usercpu_time_millis: 46.347, usercpu_time_millis_testing: 1.509, usercpu_time_millis_training: 44.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2602, 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: 1855.4813, usercpu_time_millis: 78.808, usercpu_time_millis_testing: 1.719, usercpu_time_millis_training: 77.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.4776, 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: 0.0681, scimark_benchmark: 1850.2875, usercpu_time_millis: 45.959, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 44.325,

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