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: 1271.811, usercpu_time_millis: 2.021, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 1.62,
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: 1262.91, usercpu_time_millis: 1.986, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.671,
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: 1227.4943, usercpu_time_millis: 2.078, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.67,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
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: 1259.5197, usercpu_time_millis: 1.858, usercpu_time_millis_testing: 0.445, 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: 1244.8971, usercpu_time_millis: 2.557, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 2.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9802, kappa: 0.9222, kb_relative_information_score: 4504.1482, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9812, predictive_accuracy: 0.9808, prior_entropy: 0.6204, recall: 0.9808, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.4588, scimark_benchmark: 1212.5026, usercpu_time_millis: 4.048, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6264.7954, mean_absolute_error: 0.0206, 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: 0.0789, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.038, root_relative_squared_error: 0.1053, scimark_benchmark: 1223.2155, usercpu_time_millis: 4.626, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 4.218,
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: 1269.2664, usercpu_time_millis: 2.051, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6525.7803, mean_absolute_error: 0.0042, 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: 0.0161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0183, root_relative_squared_error: 0.0506, scimark_benchmark: 1233.6072, usercpu_time_millis: 12.776, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 12.353,
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: 1272.4357, usercpu_time_millis: 1.993, usercpu_time_millis_testing: 0.403, 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: 1291.2521, usercpu_time_millis: 2.096, usercpu_time_millis_testing: 0.402, 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: 1234.1769, usercpu_time_millis: 2.072, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6330.7093, mean_absolute_error: 0.0166, 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: 0.0635, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0312, root_relative_squared_error: 0.0864, scimark_benchmark: 1278.3669, usercpu_time_millis: 6.05, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 5.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 204.1142, 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: 0.3562, root_relative_squared_error: 0.9864, scimark_benchmark: 1276.5997, usercpu_time_millis: 2.154, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 1.758,
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: 1276.5662, usercpu_time_millis: 2.013, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 1.612,
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: 1216.8132, usercpu_time_millis: 2.054, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 1.668,
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: 1223.6974, usercpu_time_millis: 2.25, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 1.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5652.1113, mean_absolute_error: 0.0557, 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: 0.2137, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2371, scimark_benchmark: 1241.0443, usercpu_time_millis: 6.939, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 6.522,
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: 1261.2018, usercpu_time_millis: 2.194, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 1.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6410.3736, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0694, scimark_benchmark: 1264.9402, usercpu_time_millis: 7.561, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 7.104,
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: 1285.453, usercpu_time_millis: 2.043, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1279.3194, usercpu_time_millis: 1.917, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 1.519,
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: 1275.041, usercpu_time_millis: 1.924, usercpu_time_millis_testing: 0.383, 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: 1236.3956, usercpu_time_millis: 2.106, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 1.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6358.0008, mean_absolute_error: 0.0149, 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: 0.0569, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0292, root_relative_squared_error: 0.081, scimark_benchmark: 1252.2343, usercpu_time_millis: 6.109, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 5.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2252.6296, mean_absolute_error: 0.1323, 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: 0.5074, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.6383, scimark_benchmark: 1248.1129, usercpu_time_millis: 724.325, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 723.919,
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: 1255.7354, usercpu_time_millis: 2.098, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 1.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6518.1719, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0187, root_relative_squared_error: 0.0518, scimark_benchmark: 1240.4157, usercpu_time_millis: 6.548, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 6.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6365.0858, mean_absolute_error: 0.0144, 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: 0.0553, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0281, root_relative_squared_error: 0.0778, scimark_benchmark: 1245.6957, usercpu_time_millis: 11.432, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 10.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6466.2821, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0205, root_relative_squared_error: 0.0568, scimark_benchmark: 1235.2064, usercpu_time_millis: 14.841, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 14.432,
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: 1287.3941, usercpu_time_millis: 1.875, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1276.9226, usercpu_time_millis: 1.832, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.562,
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: 1277.8588, usercpu_time_millis: 1.941, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9514, kappa: 0.8025, kb_relative_information_score: 3949.8444, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.957, predictive_accuracy: 0.9547, prior_entropy: 0.6204, recall: 0.9547, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5493, scimark_benchmark: 1238.9217, usercpu_time_millis: 3.156, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 2.701,
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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: 1237.0945, usercpu_time_millis: 1.934, usercpu_time_millis_testing: 0.385, 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: 1267.4539, usercpu_time_millis: 1.877, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1.509,
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: 1269.7644, usercpu_time_millis: 1.898, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.522,
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: 1219.8371, usercpu_time_millis: 2.036, usercpu_time_millis_testing: 0.388, 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: 1270.0169, usercpu_time_millis: 1.987, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.606,
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: 1230.1425, usercpu_time_millis: 2.363, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 1.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6310.7136, 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: 0.0683, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0896, scimark_benchmark: 1283.2121, usercpu_time_millis: 10.661, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 10.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6467.9663, mean_absolute_error: 0.0079, 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: 0.0303, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0212, root_relative_squared_error: 0.0587, scimark_benchmark: 1272.1964, usercpu_time_millis: 8.164, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 7.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1240.5655, usercpu_time_millis: 2.309, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 1.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6439.3317, mean_absolute_error: 0.0097, 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: 0.0373, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0233, root_relative_squared_error: 0.0644, scimark_benchmark: 1271.7836, usercpu_time_millis: 7.402, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 7.009,
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: 1289.7419, usercpu_time_millis: 2.03, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 1.609,
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: 1275.8698, usercpu_time_millis: 2.021, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 1.629,
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: 1268.5237, usercpu_time_millis: 2.096, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 1.681,
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: 1250.5002, usercpu_time_millis: 2.622, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 2.068,
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: 1278.7255, usercpu_time_millis: 1.744, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 5727.2941, mean_absolute_error: 0.0518, 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: 0.1986, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.2227, scimark_benchmark: 1283.6472, usercpu_time_millis: 5.855, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 5.491,
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: 1247.6252, usercpu_time_millis: 1.999, usercpu_time_millis_testing: 0.426, 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: 1282.8026, usercpu_time_millis: 1.909, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 1.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1278.5469, usercpu_time_millis: 2.083, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 1.634,
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: 1277.7636, usercpu_time_millis: 1.983, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 1.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1240.805, usercpu_time_millis: 1.975, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 1.589,
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: 1267.3623, usercpu_time_millis: 2.418, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 1.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8959, kappa: 0.5564, kb_relative_information_score: -3899.575, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9199, predictive_accuracy: 0.9115, prior_entropy: 0.6204, recall: 0.9115, relative_absolute_error: 1.1515, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0268, scimark_benchmark: 1226.7466, usercpu_time_millis: 510.082, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 509.608,
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: 1252.1813, usercpu_time_millis: 2.053, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.653,
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: 1228.7845, usercpu_time_millis: 2.022, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 1.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6157.8672, 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: 0.1044, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1256, scimark_benchmark: 1281.6623, usercpu_time_millis: 7.085, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 6.671,
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: 1282.0879, usercpu_time_millis: 2.087, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 1.673,
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: 1263.3239, usercpu_time_millis: 2.117, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 1.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9422, kappa: 0.7633, kb_relative_information_score: 3846.9145, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9501, predictive_accuracy: 0.947, prior_entropy: 0.6204, recall: 0.947, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.5669, scimark_benchmark: 1284.8072, usercpu_time_millis: 2.378, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 1.992,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs