Task
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: 1268.6055, usercpu_time_millis: 2.377, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 177.6109, mean_absolute_error: 0.2576, 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: 0.9876, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.9884, scimark_benchmark: 1279.6619, usercpu_time_millis: 1.92, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.549,
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: 1223.5457, usercpu_time_millis: 1.998, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 1.604,
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: 1244.9192, usercpu_time_millis: 1.843, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.464,
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: 1218.7818, usercpu_time_millis: 1.952, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.579,
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: 1269.3338, usercpu_time_millis: 1.988, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 1.567,
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: 1274.7147, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 1.433,
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: 1225.4329, usercpu_time_millis: 2.002, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 1.588,
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: 1230.6622, usercpu_time_millis: 1.928, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.613,
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: 1269.7828, usercpu_time_millis: 1.896, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.513,
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: 1276.4553, usercpu_time_millis: 1.883, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1.515,
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: 1225.4981, usercpu_time_millis: 1.899, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 1.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 351.4367, mean_absolute_error: 0.2537, 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: 0.9725, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.9746, scimark_benchmark: 1217.8179, usercpu_time_millis: 2.024, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 1.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.7752, kb_relative_information_score: 205.0412, mean_absolute_error: 0.2571, 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: 0.9855, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.9863, scimark_benchmark: 1244.8961, usercpu_time_millis: 2.253, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 1.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7752, kb_relative_information_score: 491.5938, mean_absolute_error: 0.2501, 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: 0.9587, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.9608, scimark_benchmark: 1280.9783, usercpu_time_millis: 1.871, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 1.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6374.9527, 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: 0.0281, root_relative_squared_error: 0.0779, scimark_benchmark: 1231.2546, usercpu_time_millis: 6.314, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 5.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5719.2619, mean_absolute_error: 0.0528, 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: 0.2026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.224, scimark_benchmark: 1270.7607, usercpu_time_millis: 9.794, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 9.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1269.5545, usercpu_time_millis: 1.887, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.514,
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: 1224.2762, usercpu_time_millis: 2.011, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 1.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6142.9132, mean_absolute_error: 0.0281, 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: 0.1078, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.1294, scimark_benchmark: 1215.9913, usercpu_time_millis: 6.565, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 6.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6147.1311, mean_absolute_error: 0.0278, 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: 0.1067, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1303, scimark_benchmark: 1273.419, usercpu_time_millis: 4.202, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 3.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1219.7201, usercpu_time_millis: 2.041, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.644,
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: 1232.4774, usercpu_time_millis: 2.002, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9903, kappa: 0.9624, kb_relative_information_score: 4921.7233, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.6204, recall: 0.9905, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.3867, scimark_benchmark: 1275.8782, usercpu_time_millis: 3.529, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 3.156,
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: 1265.9898, usercpu_time_millis: 2.021, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 1.618,
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: 1267.9862, usercpu_time_millis: 1.909, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.536,
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: 1222.4622, usercpu_time_millis: 2.09, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 1.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.8554, kappa: 0.3699, kb_relative_information_score: 2673.1403, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8992, predictive_accuracy: 0.8856, prior_entropy: 0.6204, recall: 0.8856, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.7106, scimark_benchmark: 1236.7803, usercpu_time_millis: 3.119, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 2.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6542.3423, 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: 0.0118, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0168, root_relative_squared_error: 0.0466, scimark_benchmark: 1267.3799, usercpu_time_millis: 13.562, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 13.186,
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: 1264.3968, usercpu_time_millis: 1.8, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6149.285, mean_absolute_error: 0.0277, 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: 0.1062, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1266, scimark_benchmark: 1277.8662, usercpu_time_millis: 8.744, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 8.344,
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: 1265.8581, usercpu_time_millis: 2.057, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 1.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 5618.7918, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.2499, scimark_benchmark: 1234.2276, usercpu_time_millis: 4.377, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 4.093,
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: 1230.8146, usercpu_time_millis: 2.063, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 1.623,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6242.1221, mean_absolute_error: 0.0221, 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: 0.0846, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1068, scimark_benchmark: 1216.523, usercpu_time_millis: 5.828, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 5.422,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6226.5764, mean_absolute_error: 0.023, 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: 0.0883, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0395, root_relative_squared_error: 0.1093, scimark_benchmark: 1228.0509, usercpu_time_millis: 8.703, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 8.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6517.5125, 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: 0.0181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0185, root_relative_squared_error: 0.0513, scimark_benchmark: 1238.5085, usercpu_time_millis: 12.666, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 12.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9171, kappa: 0.6525, kb_relative_information_score: 3227.656, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9328, predictive_accuracy: 0.9269, prior_entropy: 0.6204, recall: 0.9269, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.6512, scimark_benchmark: 1276.404, usercpu_time_millis: 2.112, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.732,
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: 1263.4405, usercpu_time_millis: 1.823, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: 5480.927, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.2843, scimark_benchmark: 1274.5011, usercpu_time_millis: 3.188, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 2.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7752, kb_relative_information_score: 1214.2334, mean_absolute_error: 0.2276, 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: 0.8726, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8792, scimark_benchmark: 1229.3657, usercpu_time_millis: 2.243, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.835,
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: 1268.1805, usercpu_time_millis: 1.771, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 1.413,
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: 1271.6779, usercpu_time_millis: 2.046, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.677,
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: 1273.5562, usercpu_time_millis: 1.937, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 1.532,
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: 1221.5601, usercpu_time_millis: 2.045, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 1.631,
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: 1213.5826, usercpu_time_millis: 2.006, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 1.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.7877, kappa: 0.0569, kb_relative_information_score: 1124.1213, mean_absolute_error: 0.2316, 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: 0.888, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9002, scimark_benchmark: 1265.6764, usercpu_time_millis: 1.821, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 1.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 459.8496, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.965, scimark_benchmark: 1199.3387, usercpu_time_millis: 2.043, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 1.639,
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: 1224.9282, usercpu_time_millis: 2.058, usercpu_time_millis_testing: 0.41, 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: 1225.3269, usercpu_time_millis: 2.062, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 1.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9153, kappa: 0.6444, kb_relative_information_score: 3185.5505, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9316, predictive_accuracy: 0.9256, prior_entropy: 0.6204, recall: 0.9256, relative_absolute_error: 0.6256, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.6549, scimark_benchmark: 1266.1173, usercpu_time_millis: 2.44, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 2.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6266.6007, mean_absolute_error: 0.0205, 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: 0.0787, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.0995, scimark_benchmark: 1267.4924, usercpu_time_millis: 10.501, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 10.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6286.747, 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: 0.0739, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0352, root_relative_squared_error: 0.0976, scimark_benchmark: 1284.8138, usercpu_time_millis: 4.927, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 4.555,
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: 1280.468, usercpu_time_millis: 1.755, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 1.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6500.3769, 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: 0.0223, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0196, root_relative_squared_error: 0.0542, scimark_benchmark: 1183.0741, usercpu_time_millis: 6.299, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 5.892,
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: 1228.7463, usercpu_time_millis: 2.023, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 1.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.7752, kb_relative_information_score: 129.956, mean_absolute_error: 0.2586, 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: 0.9913, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.9917, scimark_benchmark: 1253.6591, usercpu_time_millis: 1.935, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6492.9546, mean_absolute_error: 0.0063, 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: 0.0242, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0198, root_relative_squared_error: 0.0547, scimark_benchmark: 1231.115, usercpu_time_millis: 7.113, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 6.71,
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: 1269.0601, usercpu_time_millis: 1.972, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 1.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6184.3828, mean_absolute_error: 0.0256, 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: 0.0981, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0429, root_relative_squared_error: 0.1188, scimark_benchmark: 1277.1001, usercpu_time_millis: 9.09, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 8.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9824, kb_relative_information_score: 5359.2484, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.6204, recall: 0.9955, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3089, scimark_benchmark: 1265.5971, usercpu_time_millis: 3.253, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 2.862,
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: 1237.3979, usercpu_time_millis: 1.899, usercpu_time_millis_testing: 0.28, 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: 1232.5669, usercpu_time_millis: 1.994, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 1.521,
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: 1227.3488, usercpu_time_millis: 1.874, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.602,
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: 1227.0295, usercpu_time_millis: 1.928, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 1.521,

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