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: 1839.115, usercpu_time_millis: 1.673, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.365,
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: 1851.6335, usercpu_time_millis: 1.515, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.239,
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: 1841.7343, usercpu_time_millis: 1.7, usercpu_time_millis_testing: 0.308, 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: 1842.9066, usercpu_time_millis: 1.554, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.272,
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: 1.536, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7752, kb_relative_information_score: 422.1271, mean_absolute_error: 0.2517, 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: 0.965, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.9675, scimark_benchmark: 1855.0232, usercpu_time_millis: 1.576, usercpu_time_millis_testing: 0.28, 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: 1852.9259, usercpu_time_millis: 1.468, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.202,
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: 1841.7343, usercpu_time_millis: 1.611, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.318,
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: 1844.7072, usercpu_time_millis: 1.491, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6262.2398, mean_absolute_error: 0.0208, 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: 0.0798, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0369, root_relative_squared_error: 0.1023, scimark_benchmark: 1717.9496, usercpu_time_millis: 5.045, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 4.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9356, kappa: 0.7344, kb_relative_information_score: 3706.9018, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9453, predictive_accuracy: 0.9415, prior_entropy: 0.6204, recall: 0.9415, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.5875, scimark_benchmark: 1915.7608, usercpu_time_millis: 1.816, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8769, kappa: 0.4692, kb_relative_information_score: 2585.7469, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9096, predictive_accuracy: 0.8988, prior_entropy: 0.6204, recall: 0.8988, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.7292, scimark_benchmark: 1850.3603, usercpu_time_millis: 1.743, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.452,
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: 1868.2531, usercpu_time_millis: 1.593, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6257.8351, mean_absolute_error: 0.0211, 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: 0.0808, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0361, root_relative_squared_error: 0.0999, scimark_benchmark: 1853.454, usercpu_time_millis: 11.794, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 11.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6300.2435, mean_absolute_error: 0.0184, 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: 0.0707, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0344, root_relative_squared_error: 0.0952, scimark_benchmark: 1843.0337, usercpu_time_millis: 4.076, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 3.789,
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: 1725.6823, usercpu_time_millis: 1.693, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.379,
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: 1847.0269, usercpu_time_millis: 1.58, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.298,
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: 1925.4125, usercpu_time_millis: 1.385, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6465.8824, 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: 0.0308, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0213, root_relative_squared_error: 0.059, scimark_benchmark: 1843.2551, usercpu_time_millis: 6.191, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 5.909,
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: 1958.8801, usercpu_time_millis: 1.511, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5935.6315, mean_absolute_error: 0.0403, 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: 0.1544, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1751, scimark_benchmark: 1844.7928, usercpu_time_millis: 7.113, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 6.827,
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: 1863.1401, usercpu_time_millis: 1.562, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.279,
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: 1841.7546, usercpu_time_millis: 1.633, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.329,
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: 1955.9968, usercpu_time_millis: 1.482, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.7752, kb_relative_information_score: 677.1233, mean_absolute_error: 0.2448, 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: 0.9386, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9438, scimark_benchmark: 1849.3014, usercpu_time_millis: 1.686, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.382,
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: 1936.8366, usercpu_time_millis: 1.401, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 1.146,
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: 1.59, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.31,
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: 1838.168, usercpu_time_millis: 1.596, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8559, kappa: 0.3723, kb_relative_information_score: 2119.1177, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8994, predictive_accuracy: 0.8859, prior_entropy: 0.6204, recall: 0.8859, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7852, scimark_benchmark: 1962.7428, usercpu_time_millis: 1.533, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.7752, kb_relative_information_score: 704.3794, mean_absolute_error: 0.2439, 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: 0.935, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.9375, scimark_benchmark: 1854.4951, usercpu_time_millis: 1.597, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6518.338, mean_absolute_error: 0.0047, 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: 0.0179, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0187, root_relative_squared_error: 0.0517, scimark_benchmark: 1907.9131, usercpu_time_millis: 5.191, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 4.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9326, kappa: 0.7213, kb_relative_information_score: 3573.9446, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9432, predictive_accuracy: 0.9391, prior_entropy: 0.6204, recall: 0.9391, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.6036, scimark_benchmark: 1856.5802, usercpu_time_millis: 1.872, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6293.3532, mean_absolute_error: 0.0189, 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: 0.0724, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0337, root_relative_squared_error: 0.0934, scimark_benchmark: 1720.4408, usercpu_time_millis: 9.205, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 8.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.7752, kb_relative_information_score: 8.3401, mean_absolute_error: 0.2606, 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: 0.9993, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9996, scimark_benchmark: 1980.9549, usercpu_time_millis: 1.447, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.191,
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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, usercpu_time_millis: 1.537, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.255,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6563.3829, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0686, scimark_benchmark: 1857.6392, usercpu_time_millis: 5.076, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 4.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6515.49, mean_absolute_error: 0.0045, 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: 0.0173, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0687, scimark_benchmark: 1847.3589, usercpu_time_millis: 17.244, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 16.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6320.7172, mean_absolute_error: 0.0153, 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: 0.0587, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1212, scimark_benchmark: 1853.454, usercpu_time_millis: 3.257, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 3.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9689, kappa: 0.8765, kb_relative_information_score: 4617.4642, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9708, predictive_accuracy: 0.9701, prior_entropy: 0.6204, recall: 0.9701, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.448, scimark_benchmark: 1848.2615, usercpu_time_millis: 3.412, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 2.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6141.49, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.165, scimark_benchmark: 1855.0232, usercpu_time_millis: 4.354, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 4.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.6286, 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: 1853.9121, usercpu_time_millis: 11.148, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 10.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9977, kappa: 0.9912, kb_relative_information_score: 5797.7615, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2438, scimark_benchmark: 1849.7595, usercpu_time_millis: 6.406, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 5.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6296.334, mean_absolute_error: 0.0172, 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: 0.0658, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1173, scimark_benchmark: 1850.2875, usercpu_time_millis: 11.872, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 11.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.9586, 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: 9.537, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 9.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.878, 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: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1851.0162, usercpu_time_millis: 9.555, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 9.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6527.0889, mean_absolute_error: 0.0038, 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: 0.0145, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1853.9121, usercpu_time_millis: 15.394, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 14.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6219.4258, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1274, scimark_benchmark: 1730.1903, usercpu_time_millis: 27.684, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 26.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.9374, 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: 0.0027, 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: 25.733, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 24.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.6337, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1853.9121, usercpu_time_millis: 15.373, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 14.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9596, kappa: 0.8373, kb_relative_information_score: 4461.333, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9633, predictive_accuracy: 0.9618, prior_entropy: 0.6204, recall: 0.9618, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.4756, scimark_benchmark: 1731.9625, usercpu_time_millis: 29.385, usercpu_time_millis_testing: 2.616, usercpu_time_millis_training: 26.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6572.4588, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1851.3986, usercpu_time_millis: 16.257, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 15.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6488.691, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0139, root_relative_squared_error: 0.0385, scimark_benchmark: 1853.454, usercpu_time_millis: 19.505, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 18.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3167, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1808.9842, usercpu_time_millis: 3.165, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 2.942,
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: 1851.4743, usercpu_time_millis: 5.759, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 5.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6560.4594, mean_absolute_error: 0.0016, 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: 0.0063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0241, root_relative_squared_error: 0.0668, scimark_benchmark: 1735.1328, usercpu_time_millis: 32.771, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 32.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2383, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, scimark_benchmark: 1728.0167, usercpu_time_millis: 31.307, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 30.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6436.7427, mean_absolute_error: 0.0091, 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: 0.0348, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0894, scimark_benchmark: 1854.4431, usercpu_time_millis: 5.318, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 4.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6338.0327, mean_absolute_error: 0.0155, 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: 0.0592, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0366, root_relative_squared_error: 0.1013, scimark_benchmark: 1855.4813, usercpu_time_millis: 5.325, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 4.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6525.9162, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0344, scimark_benchmark: 1852.9259, usercpu_time_millis: 6.372, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 6.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9578, kappa: 0.8299, kb_relative_information_score: 4224.8476, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.962, predictive_accuracy: 0.9603, prior_entropy: 0.6204, recall: 0.9603, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.4971, scimark_benchmark: 1850.2875, usercpu_time_millis: 25.902, usercpu_time_millis_testing: 2.242, usercpu_time_millis_training: 23.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.4478, 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: 0.0008, root_relative_squared_error: 0.0023, scimark_benchmark: 1733.3606, usercpu_time_millis: 36.156, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 35.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6006.4395, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.1882, scimark_benchmark: 1852.0126, usercpu_time_millis: 14.967, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 14.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.6565, 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: 0.0015, root_relative_squared_error: 0.0041, scimark_benchmark: 1853.9121, usercpu_time_millis: 7.172, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 6.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.5712, 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: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0014, root_relative_squared_error: 0.004, scimark_benchmark: 1850.9136, usercpu_time_millis: 37.889, usercpu_time_millis_testing: 1.428, usercpu_time_millis_training: 36.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6508.6859, mean_absolute_error: 0.005, 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: 0.019, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0251, root_relative_squared_error: 0.0696, scimark_benchmark: 1845.7061, usercpu_time_millis: 37.067, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 35.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6570.0618, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.005, root_relative_squared_error: 0.0138, scimark_benchmark: 1851.8567, usercpu_time_millis: 14.582, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 14.267,

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