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: 0.9985, f_measure: 0.9617, kappa: 0.8463, kb_relative_information_score: 4204.5394, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9653, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.186, root_relative_squared_error: 0.5152, scimark_benchmark: 1855.6669, usercpu_time_millis: 2.143, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1858.6076, usercpu_time_millis: 1.814, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9141, kappa: 0.639, kb_relative_information_score: 3197.0588, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9308, predictive_accuracy: 0.9247, prior_entropy: 0.6204, recall: 0.9247, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.6534, scimark_benchmark: 1844.2676, usercpu_time_millis: 1.972, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1852.5406, usercpu_time_millis: 1.807, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6283.0998, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.0965, scimark_benchmark: 1851.9295, usercpu_time_millis: 5.466, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 5.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1848.8474, usercpu_time_millis: 1.578, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1847.2753, usercpu_time_millis: 1.572, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 1.754, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 1.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6355.8519, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0298, root_relative_squared_error: 0.0826, scimark_benchmark: 1852.9259, usercpu_time_millis: 5.055, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 4.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1852.0126, usercpu_time_millis: 1.77, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8948, kappa: 0.5514, kb_relative_information_score: 2694.3707, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9193, predictive_accuracy: 0.9107, prior_entropy: 0.6204, recall: 0.9107, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.716, scimark_benchmark: 1853, usercpu_time_millis: 1.697, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1846.9049, usercpu_time_millis: 1.77, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 5048.6962, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.3578, scimark_benchmark: 1842.9029, usercpu_time_millis: 4.337, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 4.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6443.2444, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.023, root_relative_squared_error: 0.0637, scimark_benchmark: 1859.2084, usercpu_time_millis: 5.922, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 5.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1854.568, usercpu_time_millis: 1.53, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1849.3742, usercpu_time_millis: 1.54, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1844.149, usercpu_time_millis: 1.488, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1844.677, usercpu_time_millis: 1.618, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 1.533, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6453.9629, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0216, root_relative_squared_error: 0.0599, scimark_benchmark: 1844.7681, usercpu_time_millis: 7.986, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 7.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5820.9672, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.2007, scimark_benchmark: 1849.3754, usercpu_time_millis: 6.127, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 5.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1852.9259, usercpu_time_millis: 1.482, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6358.2438, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0569, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0286, root_relative_squared_error: 0.0793, scimark_benchmark: 1856.1949, usercpu_time_millis: 8.162, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 7.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1853.0566, usercpu_time_millis: 1.58, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.7752, kb_relative_information_score: 791.0535, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9334, scimark_benchmark: 1845.6141, usercpu_time_millis: 1.666, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1852.6763, usercpu_time_millis: 1.516, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1852.4008, usercpu_time_millis: 1.459, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1855.6669, usercpu_time_millis: 1.557, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9871, kb_relative_information_score: 4873.0158, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.391, scimark_benchmark: 1844.677, usercpu_time_millis: 4.116, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 3.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9894, kappa: 0.9588, kb_relative_information_score: 5294.2276, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9897, predictive_accuracy: 0.9895, prior_entropy: 0.6204, recall: 0.9895, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.3299, scimark_benchmark: 1839.2154, usercpu_time_millis: 2.789, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 2.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1845.1352, usercpu_time_millis: 1.571, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6438.2302, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0233, root_relative_squared_error: 0.0646, scimark_benchmark: 1838.1041, usercpu_time_millis: 5.971, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 5.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9604, kappa: 0.8406, kb_relative_information_score: 4103.5161, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9642, predictive_accuracy: 0.9626, prior_entropy: 0.6204, recall: 0.9626, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.5236, scimark_benchmark: 1857.6392, usercpu_time_millis: 2.843, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 2.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8766, kappa: 0.4681, kb_relative_information_score: 2522.3709, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9095, predictive_accuracy: 0.8986, prior_entropy: 0.6204, recall: 0.8986, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.7372, scimark_benchmark: 1853, usercpu_time_millis: 1.817, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.499,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1848.4621, usercpu_time_millis: 1.545, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.265,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1853.531, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1725.285, usercpu_time_millis: 1.676, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1728.4313, usercpu_time_millis: 1.734, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1850.3603, usercpu_time_millis: 1.717, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 1.873, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1847.0555, usercpu_time_millis: 1.809, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1842.9496, usercpu_time_millis: 1.853, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 1.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6487.2046, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0202, root_relative_squared_error: 0.056, scimark_benchmark: 1846.9049, usercpu_time_millis: 5.796, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 5.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 1.608, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6478.9067, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0205, root_relative_squared_error: 0.0569, scimark_benchmark: 1845.3208, usercpu_time_millis: 5.219, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 4.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6530.3472, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0478, scimark_benchmark: 1844.8024, usercpu_time_millis: 12.448, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 12.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.7891, kappa: 0.0632, kb_relative_information_score: 1098.5234, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8739, predictive_accuracy: 0.8518, prior_entropy: 0.6204, recall: 0.8518, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.326, root_relative_squared_error: 0.9028, scimark_benchmark: 1848.1935, usercpu_time_millis: 1.508, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1856.1949, usercpu_time_millis: 1.624, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1731.1645, usercpu_time_millis: 1.706, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1858.6775, usercpu_time_millis: 1.737, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1852.4008, usercpu_time_millis: 1.485, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6422.6587, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0232, root_relative_squared_error: 0.0643, scimark_benchmark: 1848.8474, usercpu_time_millis: 10.643, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 10.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6515.3558, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0189, root_relative_squared_error: 0.0522, scimark_benchmark: 1842.8868, usercpu_time_millis: 5.203, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 4.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: 5290.5007, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3139, scimark_benchmark: 1852.1678, usercpu_time_millis: 4.06, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 3.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1850.9052, usercpu_time_millis: 1.5, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 458.2825, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.9651, scimark_benchmark: 1732.8983, usercpu_time_millis: 1.683, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8272, kappa: 0.2387, kb_relative_information_score: 1989.8786, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8873, predictive_accuracy: 0.87, prior_entropy: 0.6204, recall: 0.87, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.7992, scimark_benchmark: 1732.8983, usercpu_time_millis: 1.781, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1851.4429, usercpu_time_millis: 1.456, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1848.2539, usercpu_time_millis: 1.735, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8473, kappa: 0.3321, kb_relative_information_score: 1983.2556, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8956, predictive_accuracy: 0.8809, prior_entropy: 0.6204, recall: 0.8809, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.801, scimark_benchmark: 1846.0034, usercpu_time_millis: 1.588, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6229.868, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1107, scimark_benchmark: 1853.531, usercpu_time_millis: 4.35, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 4.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1832.8656, usercpu_time_millis: 1.738, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9714, kappa: 0.8865, kb_relative_information_score: 3327.5505, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9734, predictive_accuracy: 0.9726, prior_entropy: 0.6204, recall: 0.9726, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.5614, scimark_benchmark: 1842.5057, usercpu_time_millis: 111.293, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 111.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1853, usercpu_time_millis: 1.641, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 1.639, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.343,

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