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: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6413.0384, mean_absolute_error: 0.0114, 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: 0.0437, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0251, root_relative_squared_error: 0.0695, scimark_benchmark: 1244.3289, usercpu_time_millis: 7.121, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 6.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1250.0263, usercpu_time_millis: 2.024, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 1.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1281.0679, usercpu_time_millis: 1.906, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1284.4592, usercpu_time_millis: 1.943, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 1.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.7752, kb_relative_information_score: 9.0353, mean_absolute_error: 0.2606, 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: 0.9992, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9995, scimark_benchmark: 1275.318, usercpu_time_millis: 1.968, usercpu_time_millis_testing: 0.378, 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: 1268.8862, usercpu_time_millis: 1.782, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.411,
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: 1275.8878, usercpu_time_millis: 1.747, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 1.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5628.6536, mean_absolute_error: 0.0574, 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: 0.22, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.2419, scimark_benchmark: 1248.8726, usercpu_time_millis: 8.147, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 7.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1243.802, usercpu_time_millis: 2.148, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.737,
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: 1243.0667, usercpu_time_millis: 1.964, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.955, kappa: 0.8181, kb_relative_information_score: 4050.3389, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9599, predictive_accuracy: 0.9579, prior_entropy: 0.6204, recall: 0.9579, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.538, scimark_benchmark: 1265.907, usercpu_time_millis: 2.655, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 2.233,
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: 1268.1112, usercpu_time_millis: 1.881, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1278.6982, usercpu_time_millis: 1.905, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.534,
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: 1275.4765, usercpu_time_millis: 1.916, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6320.2678, mean_absolute_error: 0.0172, 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: 0.0659, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0327, root_relative_squared_error: 0.0906, scimark_benchmark: 1279.5612, usercpu_time_millis: 5.41, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 4.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6539.6044, mean_absolute_error: 0.0033, 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: 0.0127, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0178, root_relative_squared_error: 0.0493, scimark_benchmark: 1261.9069, usercpu_time_millis: 13.519, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 13.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.7752, kb_relative_information_score: 62.9945, mean_absolute_error: 0.2597, 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: 0.9958, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9962, scimark_benchmark: 1244.7846, usercpu_time_millis: 1.982, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.585,
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: 1232.5466, usercpu_time_millis: 1.983, usercpu_time_millis_testing: 0.395, 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: 1232.8788, usercpu_time_millis: 1.962, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 1.571,
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: 1274.2817, usercpu_time_millis: 1.772, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 1.408,
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: 1247.1231, usercpu_time_millis: 2.013, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 1.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6307.8818, mean_absolute_error: 0.018, 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: 0.0688, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0338, root_relative_squared_error: 0.0937, scimark_benchmark: 1245.3388, usercpu_time_millis: 5.092, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 4.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1238.1746, usercpu_time_millis: 2.088, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 1.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1288.4274, usercpu_time_millis: 1.858, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1235.3472, usercpu_time_millis: 1.929, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 1.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8773, kappa: 0.4713, kb_relative_information_score: -5550.4454, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9098, predictive_accuracy: 0.8991, prior_entropy: 0.6204, recall: 0.8991, relative_absolute_error: 1.2942, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3987, root_relative_squared_error: 1.1041, scimark_benchmark: 1222.7983, usercpu_time_millis: 755.612, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 755.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1275.5634, usercpu_time_millis: 1.898, usercpu_time_millis_testing: 0.389, 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: 1287.6154, usercpu_time_millis: 1.876, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.587,
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: 1266.7046, usercpu_time_millis: 2.018, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 1.646,
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: 1264.3581, usercpu_time_millis: 2.068, usercpu_time_millis_testing: 0.398, 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: 1261.9323, usercpu_time_millis: 2.269, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 1.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6541.4415, mean_absolute_error: 0.0032, 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: 0.0122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.017, root_relative_squared_error: 0.0472, scimark_benchmark: 1244.18, usercpu_time_millis: 16.707, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 16.207,
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: 1253.3376, usercpu_time_millis: 1.892, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 1.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6524.9356, 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: 0.0163, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0184, root_relative_squared_error: 0.051, scimark_benchmark: 1274.3521, usercpu_time_millis: 9.812, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 9.381,
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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: 6440.4168, 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: 0.037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0228, root_relative_squared_error: 0.0633, scimark_benchmark: 1274.2525, usercpu_time_millis: 8.096, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 7.672,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: 5250.8946, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.3205, scimark_benchmark: 1270.098, usercpu_time_millis: 4.62, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 4.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9661, kappa: 0.8646, kb_relative_information_score: 2034.8362, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9689, predictive_accuracy: 0.9677, prior_entropy: 0.6204, recall: 0.9677, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.6572, scimark_benchmark: 1218.2248, usercpu_time_millis: 443.126, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 442.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1231.1932, usercpu_time_millis: 1.979, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1278.3662, usercpu_time_millis: 1.896, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 1.503,
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: 1277.7161, usercpu_time_millis: 1.992, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2364.8295, mean_absolute_error: 0.1258, 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: 0.4824, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.6326, scimark_benchmark: 1268.7353, usercpu_time_millis: 481.81, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 481.405,
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: 1225.7901, usercpu_time_millis: 2.035, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 1.626,
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: 1278.7119, usercpu_time_millis: 1.965, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1281.2863, usercpu_time_millis: 1.978, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 1.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6297.7589, mean_absolute_error: 0.0186, 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: 0.0714, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.0924, scimark_benchmark: 1246.0604, usercpu_time_millis: 11.448, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 11.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9441, kappa: 0.7711, kb_relative_information_score: 3733.5366, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9514, predictive_accuracy: 0.9485, prior_entropy: 0.6204, recall: 0.9485, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5793, scimark_benchmark: 1288.5609, usercpu_time_millis: 2.68, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 2.273,
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: 1241.831, usercpu_time_millis: 2.274, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 1.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: 5402.9219, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2924, scimark_benchmark: 1275.8444, usercpu_time_millis: 4.897, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 4.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1281.207, usercpu_time_millis: 1.964, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.584,
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: 1271.6189, usercpu_time_millis: 1.971, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 1.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6358.234, 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: 0.057, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0281, root_relative_squared_error: 0.0777, scimark_benchmark: 1235.8237, usercpu_time_millis: 15.445, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 14.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 128.7731, mean_absolute_error: 0.2585, 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: 0.9912, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.9918, scimark_benchmark: 1292.0197, usercpu_time_millis: 2.071, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 1.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1280.4632, usercpu_time_millis: 2.053, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.642,
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: 1279.8893, usercpu_time_millis: 2.02, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 1.626,
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: 1285.0669, usercpu_time_millis: 1.949, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6065.6987, mean_absolute_error: 0.0327, 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: 0.1254, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1471, scimark_benchmark: 1231.5529, usercpu_time_millis: 6.85, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 6.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1284.4529, usercpu_time_millis: 1.772, usercpu_time_millis_testing: 0.264, 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: 1274.2984, usercpu_time_millis: 2.104, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1280.4735, usercpu_time_millis: 2.236, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 1.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.8976, kappa: 0.5643, kb_relative_information_score: 3159.6701, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9209, predictive_accuracy: 0.9127, prior_entropy: 0.6204, recall: 0.9127, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.6568, scimark_benchmark: 1285.7769, usercpu_time_millis: 2.964, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 2.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2278.9365, mean_absolute_error: 0.1309, 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: 0.5018, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.6379, scimark_benchmark: 1276.5129, usercpu_time_millis: 494.924, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 494.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9557, kappa: 0.821, kb_relative_information_score: 2831.8462, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9604, predictive_accuracy: 0.9585, prior_entropy: 0.6204, recall: 0.9585, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.6244, scimark_benchmark: 1273.6257, usercpu_time_millis: 92.414, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 91.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6234.439, mean_absolute_error: 0.0225, 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: 0.0864, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1072, scimark_benchmark: 1286.4322, usercpu_time_millis: 10.763, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 10.345,
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: 1271.1472, usercpu_time_millis: 2.046, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.646,
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: 1239.823, usercpu_time_millis: 2.001, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 1.583,

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