OpenML
Supervised Classification on nursery

Supervised Classification on nursery

Task 26 Supervised Classification nursery 1271 runs submitted
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  • at2 basic study_1 study_107 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9859, kb_relative_information_score: 12006.1661, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2337, scimark_benchmark: 1360.0477, usercpu_time_millis: 1260, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9716, kappa: 0.9595, kb_relative_information_score: 12193.0074, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9715, predictive_accuracy: 0.9725, prior_entropy: 1.7176, recall: 0.9725, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.2455, scimark_benchmark: 1371.174, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1325.6322, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9743, kappa: 0.9646, kb_relative_information_score: 12271.7173, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 1.7176, recall: 0.9759, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2656, scimark_benchmark: 1299.6719, usercpu_time_millis: 30870, usercpu_time_millis_testing: 12380, usercpu_time_millis_training: 18490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9065, kappa: 0.8786, kb_relative_information_score: 10335.1352, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8956, predictive_accuracy: 0.9181, prior_entropy: 1.7176, recall: 0.9181, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4499, scimark_benchmark: 1336.4564, usercpu_time_millis: 2600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.958, kb_relative_information_score: 12313.7401, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9709, predictive_accuracy: 0.9714, prior_entropy: 1.7176, recall: 0.9714, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.258, scimark_benchmark: 1331.0047, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9859, kb_relative_information_score: 12006.1661, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2337, scimark_benchmark: 1320.8283, usercpu_time_millis: 1320, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9736, kappa: 0.9623, kb_relative_information_score: 12035.16, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9738, predictive_accuracy: 0.9743, prior_entropy: 1.7176, recall: 0.9743, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2691, scimark_benchmark: 1321.6503, usercpu_time_millis: 4410, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 4080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1350.7721, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1342.2845, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1331.1314, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1325.4787, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9859, kb_relative_information_score: 12006.1661, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2337, scimark_benchmark: 1343.3311, usercpu_time_millis: 1400, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1366.7181, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8567, kb_relative_information_score: 10162.0631, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9032, prior_entropy: 1.7176, recall: 0.9032, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.478, scimark_benchmark: 1350.2591, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1325.8468, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8567, kb_relative_information_score: 10162.0631, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9032, prior_entropy: 1.7176, recall: 0.9032, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.478, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1303.5632, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8567, kb_relative_information_score: 10162.0631, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9032, prior_entropy: 1.7176, recall: 0.9032, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.478, scimark_benchmark: 908.2231, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9743, kappa: 0.9646, kb_relative_information_score: 12271.7173, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 1.7176, recall: 0.9759, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2656, scimark_benchmark: 1331.2559, usercpu_time_millis: 39010, usercpu_time_millis_testing: 17920, usercpu_time_millis_training: 21090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 1309.4998, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8567, kb_relative_information_score: 10162.0631, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9032, prior_entropy: 1.7176, recall: 0.9032, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.478, scimark_benchmark: 1335.974, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 946.9304, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9859, kb_relative_information_score: 12006.1661, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2337, scimark_benchmark: 942.3809, usercpu_time_millis: 1120, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9736, kappa: 0.9623, kb_relative_information_score: 12035.16, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9738, predictive_accuracy: 0.9743, prior_entropy: 1.7176, recall: 0.9743, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2691, scimark_benchmark: 949.7766, usercpu_time_millis: 3630, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 942.3809, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9716, kappa: 0.9595, kb_relative_information_score: 12193.0074, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9715, predictive_accuracy: 0.9725, prior_entropy: 1.7176, recall: 0.9725, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.2455, scimark_benchmark: 946.9304, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 945.0194, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8567, kb_relative_information_score: 10162.0631, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9032, prior_entropy: 1.7176, recall: 0.9032, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.478, scimark_benchmark: 922.5036, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9743, kappa: 0.9646, kb_relative_information_score: 12271.7173, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 1.7176, recall: 0.9759, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2656, scimark_benchmark: 928.8135, usercpu_time_millis: 18410, usercpu_time_millis_testing: 9140, usercpu_time_millis_training: 9270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9065, kappa: 0.8786, kb_relative_information_score: 10335.1352, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8956, predictive_accuracy: 0.9181, prior_entropy: 1.7176, recall: 0.9181, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4499, scimark_benchmark: 898.5878, usercpu_time_millis: 3200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 926.4745, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.1896, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 931.7994, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9715, kappa: 0.9588, kb_relative_information_score: 12313.79, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9714, predictive_accuracy: 0.9719, prior_entropy: 1.7176, recall: 0.9719, relative_absolute_error: 0.057, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.2563, scimark_benchmark: 926.5859, usercpu_time_millis: 740, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 300,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9743, kappa: 0.9646, kb_relative_information_score: 12271.7173, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 1.7176, recall: 0.9759, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2656, scimark_benchmark: 931.771, usercpu_time_millis: 18710, usercpu_time_millis_testing: 9340, usercpu_time_millis_training: 9370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9065, kappa: 0.8786, kb_relative_information_score: 10335.1352, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8956, predictive_accuracy: 0.9181, prior_entropy: 1.7176, recall: 0.9181, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4499, scimark_benchmark: 851.2074, usercpu_time_millis: 3830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1241.5236, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8567, kb_relative_information_score: 10162.0631, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9032, prior_entropy: 1.7176, recall: 0.9032, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.478, scimark_benchmark: 1230.3004, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1230.3004, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1230.3004, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.1896, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 479.2609, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9419, kappa: 0.9177, kb_relative_information_score: 11565.5472, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9449, predictive_accuracy: 0.9441, prior_entropy: 1.7176, recall: 0.9441, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3417, scimark_benchmark: 473.1656, usercpu_time_millis: 280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 473.1656, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9248, kappa: 0.8899, kb_relative_information_score: 11338.4924, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9248, predictive_accuracy: 0.9249, prior_entropy: 1.7176, recall: 0.9249, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3936, scimark_benchmark: 1254.1389, usercpu_time_millis: 4810, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 473.1656, usercpu_time_millis: 56430, usercpu_time_millis_testing: 56420, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9937, kappa: 0.9913, kb_relative_information_score: 12870.8568, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9939, predictive_accuracy: 0.9941, prior_entropy: 1.7176, recall: 0.9941, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0277, root_relative_squared_error: 0.0751, scimark_benchmark: 477.2144, usercpu_time_millis: 200600, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 200350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9608, kappa: 0.9431, kb_relative_information_score: 12152.3591, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9609, predictive_accuracy: 0.9612, prior_entropy: 1.7176, recall: 0.9612, relative_absolute_error: 0.0569, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.3372, usercpu_time_millis: 127.794, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 127.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.98, kappa: 0.9709, kb_relative_information_score: 12587.6632, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 1.7176, recall: 0.9801, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2415, usercpu_time_millis: 14.695, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 14.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 12952.0476, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7176, recall: 1, root_mean_prior_squared_error: 0.3695, usercpu_time_millis: 322.209, usercpu_time_millis_testing: 8.749, usercpu_time_millis_training: 313.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6691.9326, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9945, usercpu_time_millis: 27.512, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 27.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12305.1136, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.29, usercpu_time_millis: 2.104, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 1.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 12378.1706, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.2235, usercpu_time_millis: 94.883, usercpu_time_millis_testing: 11.794, usercpu_time_millis_training: 83.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7225, kappa: 0.5937, kb_relative_information_score: 7923.6307, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.7242, predictive_accuracy: 0.7235, prior_entropy: 1.7176, recall: 0.7235, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.9002, usercpu_time_millis: 8.965, usercpu_time_millis_testing: 8.93, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9926, kappa: 0.9893, kb_relative_information_score: 12779.5113, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9926, predictive_accuracy: 0.9927, prior_entropy: 1.7176, recall: 0.9927, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1466, usercpu_time_millis: 49.143, usercpu_time_millis_testing: 6.719, usercpu_time_millis_training: 42.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9696, kappa: 0.9558, kb_relative_information_score: 12241.5017, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9699, predictive_accuracy: 0.9698, prior_entropy: 1.7176, recall: 0.9698, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.2973, usercpu_time_millis: 190.436, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 189.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9247, kappa: 0.8898, kb_relative_information_score: 11542.094, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9247, predictive_accuracy: 0.9248, prior_entropy: 1.7176, recall: 0.9248, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.4693, usercpu_time_millis: 19.407, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 19.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8947, kappa: 0.8568, kb_relative_information_score: 10773.7977, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.905, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.5323, usercpu_time_millis: 3.981, usercpu_time_millis_testing: 3.505, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.954, kappa: 0.933, kb_relative_information_score: 12063.463, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9544, predictive_accuracy: 0.9542, prior_entropy: 1.7176, recall: 0.9542, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3662, usercpu_time_millis: 24.572, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 24.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, usercpu_time_millis: 1.319, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9917, kappa: 0.9877, kb_relative_information_score: 12787.8607, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 1.7176, recall: 0.9916, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.058, root_relative_squared_error: 0.157, usercpu_time_millis: 4.256, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 3.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9796, kappa: 0.9711, kb_relative_information_score: 12432.1099, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 1.7176, recall: 0.9803, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2401, usercpu_time_millis: 45.181, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 44.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9809, kappa: 0.973, kb_relative_information_score: 12450.025, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 1.7176, recall: 0.9816, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.232, usercpu_time_millis: 40.712, usercpu_time_millis_testing: 2.331, usercpu_time_millis_training: 38.381,

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