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: 0.4989, 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: 1.521, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.7752, kb_relative_information_score: 624.9025, mean_absolute_error: 0.2454, 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: 0.941, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.9492, scimark_benchmark: 1848.388, usercpu_time_millis: 1.605, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9875, kappa: 0.9513, kb_relative_information_score: 4623.7135, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9879, predictive_accuracy: 0.9877, prior_entropy: 0.6204, recall: 0.9877, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.441, scimark_benchmark: 1842.6679, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.315, 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: 1847.8629, usercpu_time_millis: 1.529, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.257,
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: 1894.9278, usercpu_time_millis: 1.466, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.2,
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: 1855.0232, usercpu_time_millis: 1.593, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6145.8069, mean_absolute_error: 0.0279, 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: 0.107, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1301, scimark_benchmark: 1855.0232, usercpu_time_millis: 4.182, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 3.845,
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: 1.592, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 1.308,
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: 1851.4756, usercpu_time_millis: 1.512, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6457.7735, mean_absolute_error: 0.0086, 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: 0.0328, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0605, scimark_benchmark: 1849.8294, usercpu_time_millis: 6.429, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 6.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6201.6319, mean_absolute_error: 0.0245, 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: 0.0941, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1162, scimark_benchmark: 1851.0335, usercpu_time_millis: 4.354, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 4.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6398.4952, mean_absolute_error: 0.0123, 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: 0.0472, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0256, root_relative_squared_error: 0.071, scimark_benchmark: 1853.9849, usercpu_time_millis: 7.16, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 6.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6524.468, mean_absolute_error: 0.0043, 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: 0.0164, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0183, root_relative_squared_error: 0.0508, scimark_benchmark: 1852.9259, usercpu_time_millis: 10.246, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 9.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6319.1346, mean_absolute_error: 0.0173, 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: 0.0663, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0318, root_relative_squared_error: 0.0881, scimark_benchmark: 1853, usercpu_time_millis: 6.591, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 6.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6507.808, mean_absolute_error: 0.0054, 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: 0.0205, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0189, root_relative_squared_error: 0.0522, scimark_benchmark: 1849.3014, usercpu_time_millis: 9.78, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 9.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5969.9425, mean_absolute_error: 0.0382, 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: 0.1465, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.1687, scimark_benchmark: 1883.5731, usercpu_time_millis: 5.084, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 4.819,
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: 1.503, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 336.4293, mean_absolute_error: 0.254, 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: 0.9739, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.9759, scimark_benchmark: 1852.9259, usercpu_time_millis: 1.545, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.263,
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: 1844.9704, usercpu_time_millis: 1.593, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8283, kappa: 0.2441, kb_relative_information_score: 1262.1476, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8877, predictive_accuracy: 0.8706, prior_entropy: 0.6204, recall: 0.8706, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8859, scimark_benchmark: 1848.2275, usercpu_time_millis: 1.592, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.309,
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: 1856.5802, usercpu_time_millis: 1.528, usercpu_time_millis_testing: 0.276, 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: 1854.5594, usercpu_time_millis: 1.523, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.246,
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: 1851.0335, usercpu_time_millis: 1.657, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 363.1771, mean_absolute_error: 0.2534, 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: 0.9714, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.9736, scimark_benchmark: 1844.6917, usercpu_time_millis: 1.681, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 1.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 4313.0694, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9702, predictive_accuracy: 0.9691, prior_entropy: 0.6204, recall: 0.9691, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4946, scimark_benchmark: 1846.5275, usercpu_time_millis: 2.319, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 2.039,
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: 1734.7203, usercpu_time_millis: 1.568, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.283,
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: 1854.4951, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.295, 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: 1736.0918, usercpu_time_millis: 1.604, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.311,
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: 1851.4756, usercpu_time_millis: 1.604, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.308,
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: 1849.9064, usercpu_time_millis: 1.511, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.235,
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: 1849.3754, usercpu_time_millis: 1.508, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5338.5667, mean_absolute_error: 0.0726, 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: 0.2783, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3015, scimark_benchmark: 1854.4951, usercpu_time_millis: 5.576, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 5.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6390.9952, mean_absolute_error: 0.0128, 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: 0.049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0262, root_relative_squared_error: 0.0725, scimark_benchmark: 1846.1302, usercpu_time_millis: 7.512, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 7.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6521.5687, mean_absolute_error: 0.0045, 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: 0.0171, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0186, root_relative_squared_error: 0.0514, scimark_benchmark: 1858.6775, usercpu_time_millis: 5.888, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 5.595,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9021, kappa: 0.5848, kb_relative_information_score: 3096.0103, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9235, predictive_accuracy: 0.9159, prior_entropy: 0.6204, recall: 0.9159, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.6667, scimark_benchmark: 1852.5406, usercpu_time_millis: 2.121, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.793,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6466.1866, mean_absolute_error: 0.008, 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: 0.0307, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0595, scimark_benchmark: 1852.0126, usercpu_time_millis: 5.813, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 5.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6226.8763, mean_absolute_error: 0.0229, 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: 0.088, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.1125, scimark_benchmark: 1851.4429, usercpu_time_millis: 3.835, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 3.543,
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: 1732.501, usercpu_time_millis: 1.611, usercpu_time_millis_testing: 0.29, 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: 1727.7026, usercpu_time_millis: 1.711, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 1.4,
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: 1849.8177, usercpu_time_millis: 1.568, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.283,
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: 1851.0585, usercpu_time_millis: 1.571, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9658, kappa: 0.8632, kb_relative_information_score: 4319.3587, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9686, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.497, scimark_benchmark: 1733.3606, usercpu_time_millis: 2.207, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8924, kappa: 0.5404, kb_relative_information_score: 2629.569, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9179, predictive_accuracy: 0.9091, prior_entropy: 0.6204, recall: 0.9091, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.7246, scimark_benchmark: 1857.6392, usercpu_time_millis: 1.691, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6182.7983, mean_absolute_error: 0.0257, 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: 0.0984, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.044, root_relative_squared_error: 0.1219, scimark_benchmark: 1845.9795, usercpu_time_millis: 3.645, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 3.37,
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: 1851.0162, usercpu_time_millis: 2.041, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.741,
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: 1853.9121, usercpu_time_millis: 2.045, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.745,
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: 1840.007, usercpu_time_millis: 1.508, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.233,
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: 1851.3986, usercpu_time_millis: 1.574, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.294,
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: 1.706, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.398,
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: 1.752, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.437,
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: 1854.4951, usercpu_time_millis: 1.764, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1.442,
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: 1847.3406, usercpu_time_millis: 1.534, usercpu_time_millis_testing: 0.282, 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: 1853, usercpu_time_millis: 1.576, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 1.292,
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: 1845.2522, usercpu_time_millis: 1.579, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.296,
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: 1848.7762, usercpu_time_millis: 1.505, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.233,
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: 1846.2342, usercpu_time_millis: 1.596, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.306,
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: 1.631, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9878, kappa: 0.9526, kb_relative_information_score: 4550.0411, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9882, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.4489, scimark_benchmark: 1848.9541, usercpu_time_millis: 3.591, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 3.27,
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: 1.594, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.305,
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: 1851.9709, usercpu_time_millis: 1.498, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6519.3929, mean_absolute_error: 0.0046, 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: 0.0177, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0187, root_relative_squared_error: 0.0517, scimark_benchmark: 1858.1494, usercpu_time_millis: 5.251, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 4.967,
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: 1850.4852, usercpu_time_millis: 1.556, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.7752, kb_relative_information_score: 167.6358, mean_absolute_error: 0.2578, 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: 0.9884, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.9891, scimark_benchmark: 1850.3603, usercpu_time_millis: 1.583, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.304,
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: 1846.6583, usercpu_time_millis: 1.626, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.319,
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: 1.675, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.365,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs