OpenML
Supervised Classification on analcatdata_supreme

Supervised Classification on analcatdata_supreme

Task 4299 Supervised Classification analcatdata_supreme 200 runs submitted
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1), predictive_accuracy(1, 1), root_mean_squared_error(1, 1), prior_entropy(1, 1), total_cost(1, 1), f_measure(1, 1), root_relative_squared_error(1, 1), area_under_roc_curve(1, 1), mean_prior_absolute_error(1, 1), precision(1, 1), average_cost(1, 1), number_of_instances(1, 1), recall(1, 1), kb_relative_information_score(1, 1), kappa(1, 1), root_mean_prior_squared_error(1, 1), relative_absolute_error(1, 1), mean_absolute_error(1, 2), predictive_accuracy(1, 2), root_mean_squared_error(1, 2), prior_entropy(1, 2), total_cost(1, 2), f_measure(1, 2), root_relative_squared_error(1, 2), area_under_roc_curve(1, 2), mean_prior_absolute_error(1, 2), precision(1, 2), average_cost(1, 2), number_of_instances(1, 2), recall(1, 2), kb_relative_information_score(1, 2), kappa(1, 2), root_mean_prior_squared_error(1, 2), relative_absolute_error(1, 2), mean_absolute_error(1, 3... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39143.4915, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1946, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.992, kappa: 0.9781, kb_relative_information_score: 38577.1566, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.1937, scimark_benchmark: 972.587, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9923, kappa: 0.9789, kb_relative_information_score: 39178.3398, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.1825, scimark_benchmark: 934.3687, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9919, kappa: 0.9776, kb_relative_information_score: 39495.4353, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2108, scimark_benchmark: 931.771, usercpu_time_millis: 310, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9919, kappa: 0.9776, kb_relative_information_score: 39495.4353, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2108, scimark_benchmark: 944.1067, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39260.8332, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.1774, scimark_benchmark: 941.6675, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9879, kappa: 0.9668, kb_relative_information_score: 35239.6699, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 0.7946, recall: 0.9879, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.3109, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39067.7179, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1949, scimark_benchmark: 927.2917, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9919, kappa: 0.9776, kb_relative_information_score: 39495.4353, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2108, scimark_benchmark: 938.5498, usercpu_time_millis: 290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9919, kappa: 0.9776, kb_relative_information_score: 39495.4353, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2108, scimark_benchmark: 947.1781, usercpu_time_millis: 280, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39095.7992, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1948, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9935, kappa: 0.9822, kb_relative_information_score: 39395.1287, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.7946, recall: 0.9935, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.1705, scimark_benchmark: 937.5117, usercpu_time_millis: 560, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9929, kappa: 0.9805, kb_relative_information_score: 39439.6033, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 0.7946, recall: 0.9929, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1911, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39143.4915, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1946, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.992, kappa: 0.9781, kb_relative_information_score: 38577.1566, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.1937, scimark_benchmark: 908.9569, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9923, kappa: 0.9789, kb_relative_information_score: 39178.3398, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.1825, scimark_benchmark: 936.2574, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9919, kappa: 0.9776, kb_relative_information_score: 39495.4353, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2108, scimark_benchmark: 931.7096, usercpu_time_millis: 270, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9919, kappa: 0.9776, kb_relative_information_score: 39495.4353, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2108, scimark_benchmark: 930.404, usercpu_time_millis: 340, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39260.8332, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.1774, scimark_benchmark: 903.2737, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39067.7179, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1949, scimark_benchmark: 932.438, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9935, kappa: 0.9822, kb_relative_information_score: 39395.1287, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.7946, recall: 0.9935, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.1705, scimark_benchmark: 730.6551, usercpu_time_millis: 660, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9926, kappa: 0.9797, kb_relative_information_score: 39202.2688, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 0.7946, recall: 0.9926, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.1761, scimark_benchmark: 934.695, usercpu_time_millis: 14210, usercpu_time_millis_testing: 3730, usercpu_time_millis_training: 10480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9925, kappa: 0.9795, kb_relative_information_score: 39196.1228, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.7946, recall: 0.9926, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.1767, scimark_benchmark: 933.4823, usercpu_time_millis: 6570, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 5130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9926, kappa: 0.9796, kb_relative_information_score: 39202.0856, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.7946, recall: 0.9926, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.1763, scimark_benchmark: 921.466, usercpu_time_millis: 3370, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9926, kappa: 0.9797, kb_relative_information_score: 39195.2315, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.7946, recall: 0.9927, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.1774, scimark_benchmark: 933.9, usercpu_time_millis: 1640, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9926, kappa: 0.9797, kb_relative_information_score: 39179.77, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.7946, recall: 0.9927, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.1801, scimark_benchmark: 939.0589, usercpu_time_millis: 900, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9929, kappa: 0.9805, kb_relative_information_score: 39439.6033, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 0.7946, recall: 0.9929, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1911, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9929, kappa: 0.9805, kb_relative_information_score: 39439.6033, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 0.7946, recall: 0.9929, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1911, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9919, kappa: 0.9776, kb_relative_information_score: 39495.4353, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2108, scimark_benchmark: 1349.1517, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39095.7992, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1948, scimark_benchmark: 1350.2591, 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: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39095.7992, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1948, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9879, kappa: 0.9668, kb_relative_information_score: 35239.6699, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 0.7946, recall: 0.9879, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.3109, scimark_benchmark: 1344.3409, usercpu_time_millis: 102000, usercpu_time_millis_testing: 2010, usercpu_time_millis_training: 99990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 1310.3168, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39095.7992, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1948, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 1323.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39260.8332, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.1774, scimark_benchmark: 1342.2845, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39067.7179, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1949, scimark_benchmark: 1320.8283, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9935, kappa: 0.9822, kb_relative_information_score: 39395.1287, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.7946, recall: 0.9935, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.1705, scimark_benchmark: 1354.5533, usercpu_time_millis: 450, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39143.4915, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1946, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39141.472, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.1938, scimark_benchmark: 1336.4564, usercpu_time_millis: 19750, usercpu_time_millis_testing: 19750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.992, kappa: 0.9781, kb_relative_information_score: 38577.1566, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.1937, scimark_benchmark: 1350.1007, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9923, kappa: 0.9789, kb_relative_information_score: 39178.3398, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.1825, scimark_benchmark: 1339.6197, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9919, kappa: 0.9776, kb_relative_information_score: 39495.4353, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2108, scimark_benchmark: 1321.8321, usercpu_time_millis: 320, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 1338.6409, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 1335.2357, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 39112.7076, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9935, kappa: 0.9822, kb_relative_information_score: 39395.1287, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.7946, recall: 0.9935, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.1705, scimark_benchmark: 1342.6744, usercpu_time_millis: 420, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.989, kappa: 0.9698, kb_relative_information_score: 31325.9781, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.7946, recall: 0.989, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.169, root_relative_squared_error: 0.396, scimark_benchmark: 1334.9442, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9919, kappa: 0.9776, kb_relative_information_score: 39495.4353, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 40520, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2108, scimark_benchmark: 1286.0816, usercpu_time_millis: 290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 170,

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