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: 1227.2621, usercpu_time_millis: 1.91, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 1.5,
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: 1223.5015, usercpu_time_millis: 1.876, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 1.467,
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: 1268.7052, usercpu_time_millis: 1.932, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.556,
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: 1236.8758, usercpu_time_millis: 1.966, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 1.573,
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: 1250.6798, usercpu_time_millis: 2.158, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 1.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6506.9393, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0192, root_relative_squared_error: 0.0531, scimark_benchmark: 1261.182, usercpu_time_millis: 6.09, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 5.681,
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: 1265.9925, usercpu_time_millis: 2.076, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 1.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6193.4584, mean_absolute_error: 0.025, 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: 0.096, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0426, root_relative_squared_error: 0.118, scimark_benchmark: 1231.9763, usercpu_time_millis: 5.572, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 5.176,
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: 1263.0204, usercpu_time_millis: 2.083, usercpu_time_millis_testing: 0.488, 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: 1266.464, usercpu_time_millis: 2.019, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 1.623,
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: 1219.5901, usercpu_time_millis: 1.936, usercpu_time_millis_testing: 0.4, 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: 1223.0677, usercpu_time_millis: 2.147, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 1.67,
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: 1227.5592, usercpu_time_millis: 1.975, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.592,
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: 1210.4084, usercpu_time_millis: 1.918, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 1.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7752, kb_relative_information_score: 818.0119, mean_absolute_error: 0.2396, 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: 0.9185, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.9309, scimark_benchmark: 1233.4101, usercpu_time_millis: 1.958, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.561,
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: 1220.9927, usercpu_time_millis: 2.095, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 1.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8769, kappa: 0.4692, kb_relative_information_score: 2594.2957, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9096, predictive_accuracy: 0.8988, prior_entropy: 0.6204, recall: 0.8988, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.7281, scimark_benchmark: 1267.1585, usercpu_time_millis: 2.337, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 1.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6400.3137, mean_absolute_error: 0.012, 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: 0.046, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1219.4343, usercpu_time_millis: 15.864, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 15.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7752, kb_relative_information_score: -12482.9447, mean_absolute_error: 0.5, 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: 1.917, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.5, root_relative_squared_error: 1.3847, scimark_benchmark: 1225.8449, usercpu_time_millis: 711.331, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 710.887,
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: 1218.1779, usercpu_time_millis: 1.885, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6157.1813, mean_absolute_error: 0.0272, 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: 0.1042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1295, scimark_benchmark: 1260.6807, usercpu_time_millis: 4.272, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 3.856,
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: 1222.5644, usercpu_time_millis: 1.936, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 1.54,
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: 1271.0301, usercpu_time_millis: 1.926, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 1.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6225.9274, 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: 0.0881, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.1137, scimark_benchmark: 1263.3166, usercpu_time_millis: 4.513, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 4.058,
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: 1272.6224, usercpu_time_millis: 2.278, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 1.814,
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: 1221.768, usercpu_time_millis: 2.187, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9311, kappa: 0.7147, kb_relative_information_score: 847.1496, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9421, predictive_accuracy: 0.9379, prior_entropy: 0.6204, recall: 0.9379, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.7744, scimark_benchmark: 1256.9668, usercpu_time_millis: 189.21, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 188.742,
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: 1224.7993, usercpu_time_millis: 1.962, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.565,
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: 1282.5851, usercpu_time_millis: 1.879, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9686, kappa: 0.875, kb_relative_information_score: 3222.6205, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.971, predictive_accuracy: 0.97, prior_entropy: 0.6204, recall: 0.97, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.575, scimark_benchmark: 1220.2058, usercpu_time_millis: 136.65, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 136.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6429.7936, mean_absolute_error: 0.0103, 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: 0.0396, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0228, root_relative_squared_error: 0.0631, scimark_benchmark: 1280.7058, usercpu_time_millis: 12.477, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 12.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.7752, kb_relative_information_score: 602.254, mean_absolute_error: 0.2462, 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: 0.9439, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.9459, scimark_benchmark: 1232.7096, usercpu_time_millis: 2.132, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 1.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7752, kb_relative_information_score: 772.3548, mean_absolute_error: 0.2424, 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: 0.9294, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.9348, scimark_benchmark: 1216.3517, usercpu_time_millis: 1.861, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 3152.3753, mean_absolute_error: 0.1333, 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: 0.5112, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.583, scimark_benchmark: 1266.4915, usercpu_time_millis: 130.844, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 130.463,
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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: 1206.4807, usercpu_time_millis: 2.332, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 1.855,
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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: 1280.2885, usercpu_time_millis: 1.84, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1.472,
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: 1225.2028, usercpu_time_millis: 1.985, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.59,
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: 1254.7414, usercpu_time_millis: 1.71, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 1.345,
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: 1228.2156, usercpu_time_millis: 2.005, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.597,
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: 1277.5129, usercpu_time_millis: 2.011, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 1.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 270.8516, mean_absolute_error: 0.2556, 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: 0.9799, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.9812, scimark_benchmark: 1223.9049, usercpu_time_millis: 2.067, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7752, kb_relative_information_score: 716.4591, mean_absolute_error: 0.243, 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: 0.9316, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.9404, scimark_benchmark: 1215.1132, usercpu_time_millis: 2.229, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 1.788,
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: 1222.3647, usercpu_time_millis: 1.943, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 1.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.7752, kb_relative_information_score: 146.1381, mean_absolute_error: 0.2582, 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: 0.9901, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.9906, scimark_benchmark: 1267.8098, usercpu_time_millis: 1.906, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 1.508,
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: 1210.1593, usercpu_time_millis: 1.992, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 1.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.879, kappa: 0.4789, kb_relative_information_score: -5486.3793, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9107, predictive_accuracy: 0.9001, prior_entropy: 0.6204, recall: 0.9001, relative_absolute_error: 1.2818, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.1007, scimark_benchmark: 1267.1845, usercpu_time_millis: 642.144, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 641.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8881, kappa: 0.521, kb_relative_information_score: 2560.4555, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9156, predictive_accuracy: 0.9062, prior_entropy: 0.6204, recall: 0.9062, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.7324, scimark_benchmark: 1221.5548, usercpu_time_millis: 2.091, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6448.8937, mean_absolute_error: 0.0091, 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: 0.035, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0222, root_relative_squared_error: 0.0616, scimark_benchmark: 1260.5635, usercpu_time_millis: 8.046, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 7.669,
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: 1256.7196, usercpu_time_millis: 1.822, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.435,
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: 1217.6989, usercpu_time_millis: 1.979, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 1.594,
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: 1268.7756, usercpu_time_millis: 1.749, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 1.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6180.6605, mean_absolute_error: 0.0258, 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: 0.099, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.12, scimark_benchmark: 1221.4159, usercpu_time_millis: 8.835, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 8.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9906, kb_relative_information_score: 5483.5224, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2828, scimark_benchmark: 1223.4987, usercpu_time_millis: 3.548, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 3.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.7752, kb_relative_information_score: 721.4384, mean_absolute_error: 0.2438, 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: 0.9347, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.9396, scimark_benchmark: 1269.0782, usercpu_time_millis: 1.84, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.453,
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: 1266.1784, usercpu_time_millis: 1.887, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.52,
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: 1221.2416, usercpu_time_millis: 2.05, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.672,
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: 1205.8273, usercpu_time_millis: 2.359, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 1.927,
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: 1225.4162, usercpu_time_millis: 1.834, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 1.444,
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: 1269.345, usercpu_time_millis: 1.742, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6417.1981, mean_absolute_error: 0.0111, 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: 0.0427, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1241.7098, usercpu_time_millis: 6.832, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 6.433,
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: 1273.6222, usercpu_time_millis: 1.719, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.471,
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: 1238.6309, usercpu_time_millis: 1.881, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 1.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6132.7746, mean_absolute_error: 0.0285, 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: 0.1094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1298, scimark_benchmark: 1220.7814, usercpu_time_millis: 15.076, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 14.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 5400.3007, mean_absolute_error: 0.069, 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: 0.2647, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.2974, scimark_benchmark: 1240.6088, usercpu_time_millis: 3.664, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 3.275,
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: 1282.7981, usercpu_time_millis: 1.754, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.387,

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