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: 1233.6419, usercpu_time_millis: 2.054, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 1.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.895, kappa: 0.5524, kb_relative_information_score: 3126.3362, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9194, predictive_accuracy: 0.9109, prior_entropy: 0.6204, recall: 0.9109, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.6578, scimark_benchmark: 1281.0784, usercpu_time_millis: 3.161, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 2.762,
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: 1226.7248, usercpu_time_millis: 2.291, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 1.804,
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: 1242.0876, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 1.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6023.2502, mean_absolute_error: 0.0351, 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: 0.1346, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1558, scimark_benchmark: 1228.6928, usercpu_time_millis: 14.094, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 13.704,
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: 1228.791, usercpu_time_millis: 2.742, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 2.135,
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: 1237.1858, usercpu_time_millis: 1.898, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 1.506,
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: 1275.8084, usercpu_time_millis: 1.906, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 1.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 5629.6042, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2492, scimark_benchmark: 1232.4364, usercpu_time_millis: 4.155, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 3.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.7752, kb_relative_information_score: 16.4669, mean_absolute_error: 0.2605, 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: 0.9987, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9989, scimark_benchmark: 1239.3231, usercpu_time_millis: 2.155, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 1.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 402.3167, mean_absolute_error: 0.2523, 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: 0.9674, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.9702, scimark_benchmark: 1279.1458, usercpu_time_millis: 1.951, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.564,
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: 1270.2704, usercpu_time_millis: 1.914, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1.544,
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: 1286.0307, usercpu_time_millis: 2.002, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.605,
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: 1235.4297, usercpu_time_millis: 1.974, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.684,
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: 1294.024, usercpu_time_millis: 1.87, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 1.479,
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: 1278.6358, usercpu_time_millis: 1.979, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 1.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: 1586.2064, mean_absolute_error: 0.2161, 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: 0.8283, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.8489, scimark_benchmark: 1276.2175, usercpu_time_millis: 2.096, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.776,
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: 1261.6332, usercpu_time_millis: 2.275, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 1.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 543.8482, mean_absolute_error: 0.2481, 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: 0.9513, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.9571, scimark_benchmark: 1242.9045, usercpu_time_millis: 2.089, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9888, kappa: 0.9563, kb_relative_information_score: 5078.9822, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9891, predictive_accuracy: 0.9889, prior_entropy: 0.6204, recall: 0.9889, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.3645, scimark_benchmark: 1268.7692, usercpu_time_millis: 2.856, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 2.5,
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: 1285.8232, usercpu_time_millis: 1.985, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 1.599,
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: 1230.3521, usercpu_time_millis: 2.09, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.682,
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: 1293.12, usercpu_time_millis: 2.272, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 1.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 366.3531, mean_absolute_error: 0.2533, 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: 0.971, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.9733, scimark_benchmark: 1239.7233, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.487,
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: 1222.9958, usercpu_time_millis: 2.02, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 1.616,
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: 1234.1881, usercpu_time_millis: 2.018, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 1.628,
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: 1242.4803, usercpu_time_millis: 1.897, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 117.6068, 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: 0.992, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9926, scimark_benchmark: 1284.1385, usercpu_time_millis: 1.846, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2448.3677, mean_absolute_error: 0.1208, 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: 0.4631, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6283, scimark_benchmark: 1283.2317, usercpu_time_millis: 477.809, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 477.42,
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: 1281.8593, usercpu_time_millis: 2.083, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 1.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6372.5695, mean_absolute_error: 0.0138, 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: 0.0528, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0267, root_relative_squared_error: 0.0739, scimark_benchmark: 1273.7564, usercpu_time_millis: 14.483, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 14.208,
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: 1283.6242, usercpu_time_millis: 1.831, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 1.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6489.6928, mean_absolute_error: 0.0065, 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: 0.0249, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.019, root_relative_squared_error: 0.0526, scimark_benchmark: 1255.6208, usercpu_time_millis: 14.025, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 13.596,
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: 1266.683, usercpu_time_millis: 2.209, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 1.781,
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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: 6420.8314, mean_absolute_error: 0.0109, 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: 0.0418, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1232.924, usercpu_time_millis: 7.33, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 6.928,
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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: 6197.463, mean_absolute_error: 0.0248, 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: 0.0949, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1151, scimark_benchmark: 1280.4014, usercpu_time_millis: 10.79, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 10.392,
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: 1284.2271, usercpu_time_millis: 1.92, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.541,
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: 1236.4703, usercpu_time_millis: 2.099, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 5617.6289, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2444, scimark_benchmark: 1283.2831, usercpu_time_millis: 6.725, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 6.333,
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: 1266.8713, usercpu_time_millis: 1.856, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 1.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5390.8828, mean_absolute_error: 0.0702, 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: 0.2691, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2919, scimark_benchmark: 1244.5998, usercpu_time_millis: 7.331, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 6.922,
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: 1291.6597, usercpu_time_millis: 2.036, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 1.633,
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: 1244.0552, usercpu_time_millis: 2.034, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 1.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: 1742.8335, mean_absolute_error: 0.2102, 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: 0.8061, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3, root_relative_squared_error: 0.8309, scimark_benchmark: 1232.3026, usercpu_time_millis: 2.186, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 1.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6310.8924, mean_absolute_error: 0.0178, 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: 0.0682, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.033, root_relative_squared_error: 0.0915, scimark_benchmark: 1274.7145, usercpu_time_millis: 5.888, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 5.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6291.5969, mean_absolute_error: 0.019, 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: 0.0729, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.0925, scimark_benchmark: 1274.0677, usercpu_time_millis: 13.68, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 13.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.7752, kb_relative_information_score: 1178.299, mean_absolute_error: 0.2304, 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: 0.8835, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.8931, scimark_benchmark: 1243.4507, usercpu_time_millis: 2.249, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 1.773,
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: 1231.8468, usercpu_time_millis: 2.282, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 1.829,
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: 1231.4392, usercpu_time_millis: 2.386, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 1.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6283.467, mean_absolute_error: 0.0193, 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: 0.0741, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.034, root_relative_squared_error: 0.094, scimark_benchmark: 1272.8518, usercpu_time_millis: 16.007, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 15.589,
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: 1218.2684, usercpu_time_millis: 2.27, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 1.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9962, kappa: 0.9853, kb_relative_information_score: 5391.6435, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.6204, recall: 0.9962, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3022, scimark_benchmark: 1270.0766, usercpu_time_millis: 3.476, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 3.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5820.7779, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.2004, scimark_benchmark: 1222.8841, usercpu_time_millis: 8.42, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 8.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9491, kappa: 0.7926, kb_relative_information_score: 3863.9399, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9552, predictive_accuracy: 0.9527, prior_entropy: 0.6204, recall: 0.9527, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.5603, scimark_benchmark: 1242.5795, usercpu_time_millis: 3.408, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 2.968,
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: 1254.1245, usercpu_time_millis: 2.286, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 1.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.7752, kb_relative_information_score: 1122.3627, mean_absolute_error: 0.2279, 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: 0.8737, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.8802, scimark_benchmark: 1266.3936, usercpu_time_millis: 2.282, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 1.897,
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: 1204.9562, usercpu_time_millis: 2.061, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 1.648,
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: 1290.254, usercpu_time_millis: 2.057, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 1.715,
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: 1221.6524, usercpu_time_millis: 2.245, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 1.799,
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: 1234.1516, usercpu_time_millis: 2.202, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 1.756,
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: 1284.8795, usercpu_time_millis: 1.881, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.501,
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: 1235.2231, usercpu_time_millis: 2.146, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 1.694,
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: 1269.5371, usercpu_time_millis: 2.106, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.706,
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: 1237.6849, usercpu_time_millis: 2.22, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 1.72,
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: 1233.9124, usercpu_time_millis: 1.925, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1.536,

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