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: 1219.9863, usercpu_time_millis: 2.851, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 2.176,
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: 1223.1925, usercpu_time_millis: 2.463, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 1.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2269.9921, mean_absolute_error: 0.1314, 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: 0.5039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.6376, scimark_benchmark: 1276.9426, usercpu_time_millis: 598.673, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 598.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 5427.3636, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.2921, scimark_benchmark: 1229.0407, usercpu_time_millis: 3.82, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 3.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6454.1321, 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: 0.0219, root_relative_squared_error: 0.0607, scimark_benchmark: 1270.4411, usercpu_time_millis: 7.941, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 7.505,
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: 1202.5938, usercpu_time_millis: 2.03, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.619,
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: 1279.3655, usercpu_time_millis: 2.339, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 1.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9617, kappa: 0.8463, kb_relative_information_score: 4219.2427, mean_absolute_error: 0.1202, 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: 0.4607, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.5138, scimark_benchmark: 1236.2724, usercpu_time_millis: 2.746, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 2.316,
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: 1232.1974, usercpu_time_millis: 2.225, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 1.796,
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: 1242.0743, usercpu_time_millis: 2.656, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 2.121,
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: 1218.7528, usercpu_time_millis: 2.382, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 1.979,
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: 1275.1122, usercpu_time_millis: 2.113, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 1.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7752, kb_relative_information_score: 105.6486, mean_absolute_error: 0.2587, 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: 0.9918, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.9921, scimark_benchmark: 1271.6828, usercpu_time_millis: 2.242, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 1.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6520.0915, 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: 0.0175, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0186, root_relative_squared_error: 0.0515, scimark_benchmark: 1242.2389, usercpu_time_millis: 11.657, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 11.105,
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: 1238.4453, usercpu_time_millis: 2.235, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 1.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6475.0878, mean_absolute_error: 0.0074, 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: 0.0286, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0201, root_relative_squared_error: 0.0556, scimark_benchmark: 1220.0932, usercpu_time_millis: 16.412, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 15.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 553.477, mean_absolute_error: 0.2478, 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: 0.9501, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.9562, scimark_benchmark: 1251.7845, usercpu_time_millis: 2.814, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 2.235,
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: 1227.3321, usercpu_time_millis: 2.687, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 2.113,
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: 1222.4331, usercpu_time_millis: 2.078, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 1.775,
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: 1266.8286, usercpu_time_millis: 2.241, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.91,
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: 1280.5002, usercpu_time_millis: 2.764, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 2.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9612, kappa: 0.8442, kb_relative_information_score: 4125.1127, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9633, prior_entropy: 0.6204, recall: 0.9633, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.5244, scimark_benchmark: 1268.9093, usercpu_time_millis: 4.874, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 4.083,
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: 1271.308, usercpu_time_millis: 2.088, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 1.654,
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: 1233.4083, usercpu_time_millis: 2.033, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6309.8733, mean_absolute_error: 0.0179, 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: 0.0685, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0329, root_relative_squared_error: 0.091, scimark_benchmark: 1270.6605, usercpu_time_millis: 6.232, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 5.847,
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: 1226.0632, usercpu_time_millis: 1.992, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.595,
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: 1209.2696, usercpu_time_millis: 2.017, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 1.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6517.9872, 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: 0.018, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0187, root_relative_squared_error: 0.0519, scimark_benchmark: 1270.3863, usercpu_time_millis: 7.001, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 6.563,
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: 1217.6011, usercpu_time_millis: 2.484, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 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: 1274.8606, usercpu_time_millis: 2.667, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 2.106,
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: 1222.7509, usercpu_time_millis: 3.594, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 2.879,
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: 1276.8574, usercpu_time_millis: 4.035, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 3.391,
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: 1226.0976, usercpu_time_millis: 2.604, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 2.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: 1491.7612, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8937, predictive_accuracy: 0.8784, prior_entropy: 0.6204, recall: 0.8784, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.311, root_relative_squared_error: 0.8613, scimark_benchmark: 1229.6006, usercpu_time_millis: 2.241, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.846,
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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: 1240.2906, usercpu_time_millis: 1.984, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 1.572,
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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: 1282.7969, usercpu_time_millis: 2.025, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 1.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: 5584.5475, mean_absolute_error: 0.0593, 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: 0.2275, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.2624, scimark_benchmark: 1209.2648, usercpu_time_millis: 3.69, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 3.289,
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: 1288.036, usercpu_time_millis: 2.329, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 1.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6396.326, mean_absolute_error: 0.0125, 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: 0.0478, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0255, root_relative_squared_error: 0.0707, scimark_benchmark: 1219.7794, usercpu_time_millis: 12.729, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 12.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6376.5525, mean_absolute_error: 0.0137, 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: 0.0525, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0267, root_relative_squared_error: 0.0739, scimark_benchmark: 1279.4173, usercpu_time_millis: 13.185, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 12.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6542.666, mean_absolute_error: 0.0031, 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: 0.0119, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0175, root_relative_squared_error: 0.0485, scimark_benchmark: 1273.9397, usercpu_time_millis: 14.873, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 14.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6530.9904, 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: 0.0148, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0182, root_relative_squared_error: 0.0505, scimark_benchmark: 1240.6888, usercpu_time_millis: 9.311, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 8.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6503.3458, mean_absolute_error: 0.0056, 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: 0.0216, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0193, root_relative_squared_error: 0.0533, scimark_benchmark: 1287.0514, usercpu_time_millis: 9.315, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 8.888,
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: 1257.2071, usercpu_time_millis: 1.983, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 1.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9872, kappa: 0.9501, kb_relative_information_score: 4746.5534, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9876, predictive_accuracy: 0.9874, prior_entropy: 0.6204, recall: 0.9874, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4178, scimark_benchmark: 1229.7428, usercpu_time_millis: 3.615, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 3.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: 1438.3503, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8937, predictive_accuracy: 0.8784, prior_entropy: 0.6204, recall: 0.8784, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.8663, scimark_benchmark: 1278.119, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.488,
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: 1240.6672, usercpu_time_millis: 2.086, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.707,
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: 1214.3389, usercpu_time_millis: 2.022, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.721,
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: 1223.3539, usercpu_time_millis: 2.036, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 1.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6324.3272, mean_absolute_error: 0.017, 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: 0.0651, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0312, root_relative_squared_error: 0.0863, scimark_benchmark: 1290.274, usercpu_time_millis: 11.054, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 10.664,
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: 1280.7265, usercpu_time_millis: 1.909, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6410.1644, mean_absolute_error: 0.0116, 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: 0.0444, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1243.2741, usercpu_time_millis: 11.84, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 11.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2328.5305, mean_absolute_error: 0.1279, 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: 0.4904, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.6352, scimark_benchmark: 1208.9484, usercpu_time_millis: 523.095, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 522.679,
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: 1229.4669, usercpu_time_millis: 2.047, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 1.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6500.0827, mean_absolute_error: 0.0058, 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: 0.0224, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0529, scimark_benchmark: 1267.9277, usercpu_time_millis: 10.649, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 10.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6328.8752, mean_absolute_error: 0.0167, 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: 0.0638, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.032, root_relative_squared_error: 0.0887, scimark_benchmark: 1244.9516, usercpu_time_millis: 5.87, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 5.447,
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: 1225.8403, usercpu_time_millis: 2.233, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 1.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.7877, kappa: 0.0569, kb_relative_information_score: 2014.3655, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8734, predictive_accuracy: 0.8512, prior_entropy: 0.6204, recall: 0.8512, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.7918, scimark_benchmark: 1266.5635, usercpu_time_millis: 2.545, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 2.122,
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: 1273.3425, usercpu_time_millis: 2.059, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 1.607,
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: 1276.389, usercpu_time_millis: 1.986, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6544.7156, mean_absolute_error: 0.003, 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: 0.0114, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0168, root_relative_squared_error: 0.0467, scimark_benchmark: 1229.9115, usercpu_time_millis: 15.134, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 14.717,
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: 1279.1885, usercpu_time_millis: 2.061, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 1.656,
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: 1230.9332, usercpu_time_millis: 2.099, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 1.659,
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: 1273.212, usercpu_time_millis: 2.218, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 1.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 660.3512, mean_absolute_error: 0.2441, 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: 0.936, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.9459, scimark_benchmark: 1215.2371, usercpu_time_millis: 2.514, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 2.051,

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