OpenML
Supervised Classification on nursery

Supervised Classification on nursery

Task 1790 Supervised Classification nursery 179 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9536, kappa: 0.9335, kb_relative_information_score: 59827.3727, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9532, predictive_accuracy: 0.9547, prior_entropy: 1.7176, recall: 0.9547, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3231, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9067, kappa: 0.8788, kb_relative_information_score: 51593.8091, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.8957, predictive_accuracy: 0.9182, prior_entropy: 1.7176, recall: 0.9182, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4508, scimark_benchmark: 851.2074, usercpu_time_millis: 2280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9476, kappa: 0.9336, kb_relative_information_score: 58423.0126, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9557, predictive_accuracy: 0.9551, prior_entropy: 1.7176, recall: 0.9551, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3627, scimark_benchmark: 916.0735, usercpu_time_millis: 19070, usercpu_time_millis_testing: 8680, usercpu_time_millis_training: 10390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9476, kappa: 0.9336, kb_relative_information_score: 58423.0126, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9557, predictive_accuracy: 0.9551, prior_entropy: 1.7176, recall: 0.9551, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3627, scimark_benchmark: 941.6675, usercpu_time_millis: 27010, usercpu_time_millis_testing: 9350, usercpu_time_millis_training: 17660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9518, kappa: 0.9322, kb_relative_information_score: 58948.4336, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9517, predictive_accuracy: 0.9539, prior_entropy: 1.7176, recall: 0.9539, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.3148, scimark_benchmark: 941.6675, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.973, kappa: 0.9615, kb_relative_information_score: 58585.6272, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9732, predictive_accuracy: 0.9738, prior_entropy: 1.7176, recall: 0.9738, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2839, scimark_benchmark: 931.771, usercpu_time_millis: 1300, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9476, kappa: 0.9336, kb_relative_information_score: 58423.0126, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9557, predictive_accuracy: 0.9551, prior_entropy: 1.7176, recall: 0.9551, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3627, scimark_benchmark: 937.5117, usercpu_time_millis: 24580, usercpu_time_millis_testing: 9310, usercpu_time_millis_training: 15270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9502, kappa: 0.9287, kb_relative_information_score: 59119.1132, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9501, predictive_accuracy: 0.9515, prior_entropy: 1.7176, recall: 0.9515, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.3339, scimark_benchmark: 943.1009, usercpu_time_millis: 3690, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.973, kappa: 0.9615, kb_relative_information_score: 58585.6272, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9732, predictive_accuracy: 0.9738, prior_entropy: 1.7176, recall: 0.9738, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2839, scimark_benchmark: 943.1009, usercpu_time_millis: 1330, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9536, kappa: 0.9335, kb_relative_information_score: 59827.3727, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9532, predictive_accuracy: 0.9547, prior_entropy: 1.7176, recall: 0.9547, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3231, scimark_benchmark: 819.5729, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9067, kappa: 0.8788, kb_relative_information_score: 51593.8091, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.8957, predictive_accuracy: 0.9182, prior_entropy: 1.7176, recall: 0.9182, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4508, scimark_benchmark: 936.2574, usercpu_time_millis: 3450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9476, kappa: 0.9336, kb_relative_information_score: 58423.0126, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9557, predictive_accuracy: 0.9551, prior_entropy: 1.7176, recall: 0.9551, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3627, scimark_benchmark: 930.404, usercpu_time_millis: 26890, usercpu_time_millis_testing: 11040, usercpu_time_millis_training: 15850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 941.4991, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9518, kappa: 0.9322, kb_relative_information_score: 58948.4336, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9517, predictive_accuracy: 0.9539, prior_entropy: 1.7176, recall: 0.9539, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.3148, scimark_benchmark: 933.3455, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 944.0133, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9502, kappa: 0.9287, kb_relative_information_score: 59119.1132, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9501, predictive_accuracy: 0.9515, prior_entropy: 1.7176, recall: 0.9515, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.3339, scimark_benchmark: 917.5013, usercpu_time_millis: 3700, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.973, kappa: 0.9615, kb_relative_information_score: 58585.6272, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9732, predictive_accuracy: 0.9738, prior_entropy: 1.7176, recall: 0.9738, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2839, scimark_benchmark: 901.4991, usercpu_time_millis: 1320, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9949, kb_relative_information_score: 58578.7928, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9964, predictive_accuracy: 0.9965, prior_entropy: 1.7176, recall: 0.9965, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.071, root_relative_squared_error: 0.1922, scimark_benchmark: 936.2727, usercpu_time_millis: 122520, usercpu_time_millis_testing: 24610, usercpu_time_millis_training: 97910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.995, kb_relative_information_score: 57434.9375, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 1.7176, recall: 0.9966, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.2178, scimark_benchmark: 941.4991, usercpu_time_millis: 67680, usercpu_time_millis_testing: 15770, usercpu_time_millis_training: 51910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9941, kb_relative_information_score: 57865.5261, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9958, predictive_accuracy: 0.996, prior_entropy: 1.7176, recall: 0.996, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.078, root_relative_squared_error: 0.2111, scimark_benchmark: 944.235, usercpu_time_millis: 35440, usercpu_time_millis_testing: 4330, usercpu_time_millis_training: 31110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.994, kb_relative_information_score: 59804.4757, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9958, predictive_accuracy: 0.9959, prior_entropy: 1.7176, recall: 0.9959, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1781, scimark_benchmark: 911.2316, usercpu_time_millis: 15850, usercpu_time_millis_testing: 2220, usercpu_time_millis_training: 13630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9948, kappa: 0.9925, kb_relative_information_score: 57130.1028, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9947, predictive_accuracy: 0.9949, prior_entropy: 1.7176, recall: 0.9949, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.094, root_relative_squared_error: 0.2545, scimark_benchmark: 926.5859, usercpu_time_millis: 8740, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 7650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8702, kappa: 0.8214, kb_relative_information_score: 49207.9936, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.8699, predictive_accuracy: 0.8794, prior_entropy: 1.7176, recall: 0.8794, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.191, root_relative_squared_error: 0.5168, scimark_benchmark: 936.1714, usercpu_time_millis: 450, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 20419.1283, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7813, scimark_benchmark: 936.1714, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 20419.1283, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7813, scimark_benchmark: 938.3115, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 32643.1029, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.7666, scimark_benchmark: 940.0055, usercpu_time_millis: 560, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5323, kappa: 0.4791, kb_relative_information_score: 34743.2001, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.4794, predictive_accuracy: 0.6454, prior_entropy: 1.7176, recall: 0.6454, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.727, scimark_benchmark: 935.6052, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 32172.3006, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7922, scimark_benchmark: 935.6052, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 6396.8952, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.3977, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9537, kappa: 0.9344, kb_relative_information_score: 59822.2837, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9537, predictive_accuracy: 0.9554, prior_entropy: 1.7176, recall: 0.9554, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.3171, scimark_benchmark: 926.5859, usercpu_time_millis: 770, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9608, kappa: 0.9442, kb_relative_information_score: 28702.6588, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9611, predictive_accuracy: 0.9621, prior_entropy: 1.7176, recall: 0.9621, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.6614, scimark_benchmark: 933.0918, usercpu_time_millis: 5670, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5570,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9502, kappa: 0.9287, kb_relative_information_score: 59119.1132, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9501, predictive_accuracy: 0.9515, prior_entropy: 1.7176, recall: 0.9515, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.3339, scimark_benchmark: 1345.5961, usercpu_time_millis: 4490, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 4160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9067, kappa: 0.8788, kb_relative_information_score: 51593.8091, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.8957, predictive_accuracy: 0.9182, prior_entropy: 1.7176, recall: 0.9182, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4508, scimark_benchmark: 1345.7919, usercpu_time_millis: 2320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9476, kappa: 0.9336, kb_relative_information_score: 58423.0126, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9557, predictive_accuracy: 0.9551, prior_entropy: 1.7176, recall: 0.9551, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3627, scimark_benchmark: 1334.9442, usercpu_time_millis: 26290, usercpu_time_millis_testing: 9170, usercpu_time_millis_training: 17120,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9518, kappa: 0.9322, kb_relative_information_score: 58948.4336, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9517, predictive_accuracy: 0.9539, prior_entropy: 1.7176, recall: 0.9539, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.3148, scimark_benchmark: 1349.1517, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.973, kappa: 0.9615, kb_relative_information_score: 58585.6272, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9732, predictive_accuracy: 0.9738, prior_entropy: 1.7176, recall: 0.9738, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2839, scimark_benchmark: 1330.8256, usercpu_time_millis: 1260, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9536, kappa: 0.9335, kb_relative_information_score: 59827.3727, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9532, predictive_accuracy: 0.9547, prior_entropy: 1.7176, recall: 0.9547, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3231, scimark_benchmark: 1308.6872, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9064, kappa: 0.8756, kb_relative_information_score: 54882.7985, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.914, predictive_accuracy: 0.916, prior_entropy: 1.7176, recall: 0.916, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4963, scimark_benchmark: 1318.3027, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 1299.3719, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 1359.7293, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.973, kappa: 0.9615, kb_relative_information_score: 58585.6272, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9732, predictive_accuracy: 0.9738, prior_entropy: 1.7176, recall: 0.9738, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2839, scimark_benchmark: 1316.7198, usercpu_time_millis: 1000, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9476, kappa: 0.9336, kb_relative_information_score: 58423.0126, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9557, predictive_accuracy: 0.9551, prior_entropy: 1.7176, recall: 0.9551, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3627, scimark_benchmark: 1236.6943, usercpu_time_millis: 39790, usercpu_time_millis_testing: 9550, usercpu_time_millis_training: 30240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.973, kappa: 0.9615, kb_relative_information_score: 58585.6272, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9732, predictive_accuracy: 0.9738, prior_entropy: 1.7176, recall: 0.9738, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2839, scimark_benchmark: 1347.993, usercpu_time_millis: 1420, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 1297.2338, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9502, kappa: 0.9287, kb_relative_information_score: 59119.1132, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9501, predictive_accuracy: 0.9515, prior_entropy: 1.7176, recall: 0.9515, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.3339, scimark_benchmark: 1322.7257, usercpu_time_millis: 4430, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 4090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.973, kappa: 0.9615, kb_relative_information_score: 58585.6272, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9732, predictive_accuracy: 0.9738, prior_entropy: 1.7176, recall: 0.9738, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2839, scimark_benchmark: 1326.8946, usercpu_time_millis: 1330, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8943, kappa: 0.8562, kb_relative_information_score: 50735.505, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9052, predictive_accuracy: 0.9029, prior_entropy: 1.7176, recall: 0.9029, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4791, scimark_benchmark: 938.0414, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9536, kappa: 0.9335, kb_relative_information_score: 59827.3727, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9532, predictive_accuracy: 0.9547, prior_entropy: 1.7176, recall: 0.9547, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3231, scimark_benchmark: 933.1165, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8943, kappa: 0.8562, kb_relative_information_score: 50735.505, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9052, predictive_accuracy: 0.9029, prior_entropy: 1.7176, recall: 0.9029, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4791, scimark_benchmark: 1350.073, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9183, kappa: 0.8908, kb_relative_information_score: 52887.7693, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4281, scimark_benchmark: 1312.0581, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9536, kappa: 0.9335, kb_relative_information_score: 59827.3727, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9532, predictive_accuracy: 0.9547, prior_entropy: 1.7176, recall: 0.9547, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3231, scimark_benchmark: 1064.8317, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9478, kappa: 0.9378, kb_relative_information_score: 42394.6059, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 1.7176, recall: 0.958, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5279, scimark_benchmark: 1318.6149, usercpu_time_millis: 264300, usercpu_time_millis_testing: 264300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.954, kappa: 0.9341, kb_relative_information_score: 59841.6426, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9537, predictive_accuracy: 0.9552, prior_entropy: 1.7176, recall: 0.9552, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3226, scimark_benchmark: 892.0148, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9485, kappa: 0.9247, kb_relative_information_score: 59831.7989, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9485, predictive_accuracy: 0.9486, prior_entropy: 1.7176, recall: 0.9486, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.3604, scimark_benchmark: 1315.933, usercpu_time_millis: 4150, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9052, kappa: 0.8767, kb_relative_information_score: 30763.7234, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.8943, predictive_accuracy: 0.9167, prior_entropy: 1.7176, recall: 0.9167, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.6805, scimark_benchmark: 1347.5461, usercpu_time_millis: 4060, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9536, kappa: 0.9335, kb_relative_information_score: 59827.3727, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9532, predictive_accuracy: 0.9547, prior_entropy: 1.7176, recall: 0.9547, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3231, scimark_benchmark: 922.1419, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9867, kappa: 0.9805, kb_relative_information_score: 63563.3693, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 1.7176, recall: 0.9867, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.1795, scimark_benchmark: 1342.4239, usercpu_time_millis: 4060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9722, kappa: 0.9592, kb_relative_information_score: 61835.9258, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.273, number_of_instances: 64800, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 1.7176, recall: 0.9722, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2704, scimark_benchmark: 1340.9497, usercpu_time_millis: 23400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 23360,

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