Task
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 1892 Supervised Classification mfeat-factors 172 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.804, kappa: 0.7822, kb_relative_information_score: 15905.0501, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6156, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8311, kappa: 0.8127, kb_relative_information_score: 15818.5867, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8316, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5259, scimark_benchmark: 851.2074, usercpu_time_millis: 15130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9333, kappa: 0.9257, kb_relative_information_score: 18616.7712, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9343, predictive_accuracy: 0.9332, prior_entropy: 3.3219, recall: 0.9332, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3807, scimark_benchmark: 941.6675, usercpu_time_millis: 590, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 941.6675, usercpu_time_millis: 8050, usercpu_time_millis_testing: 6980, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9384, kappa: 0.9316, kb_relative_information_score: 17701.0626, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9387, predictive_accuracy: 0.9384, prior_entropy: 3.3219, recall: 0.9384, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3645, scimark_benchmark: 941.6675, usercpu_time_millis: 2560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9671, kappa: 0.9634, kb_relative_information_score: 17880.7439, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 3.3219, recall: 0.9671, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.3241, scimark_benchmark: 931.771, usercpu_time_millis: 1680, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.1572, kappa: 0.1536, kb_relative_information_score: 4066.8389, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5033, predictive_accuracy: 0.2382, prior_entropy: 3.3219, recall: 0.2382, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.3011, scimark_benchmark: 937.5117, usercpu_time_millis: 41870, usercpu_time_millis_testing: 12960, usercpu_time_millis_training: 28910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8753, kappa: 0.8603, kb_relative_information_score: 17140.0578, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8794, predictive_accuracy: 0.8743, prior_entropy: 3.3219, recall: 0.8743, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4818, scimark_benchmark: 937.5117, usercpu_time_millis: 824900, usercpu_time_millis_testing: 1540, usercpu_time_millis_training: 823360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9671, kappa: 0.9634, kb_relative_information_score: 17880.7439, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 3.3219, recall: 0.9671, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.3241, scimark_benchmark: 943.1009, usercpu_time_millis: 1750, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.804, kappa: 0.7822, kb_relative_information_score: 15905.0501, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6156, scimark_benchmark: 819.5729, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8311, kappa: 0.8127, kb_relative_information_score: 15818.5867, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8316, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5259, scimark_benchmark: 608.4057, usercpu_time_millis: 20090, usercpu_time_millis_training: 20090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.1572, kappa: 0.1536, kb_relative_information_score: 4066.8389, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5033, predictive_accuracy: 0.2382, prior_entropy: 3.3219, recall: 0.2382, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.3011, scimark_benchmark: 859.5223, usercpu_time_millis: 37070, usercpu_time_millis_testing: 8950, usercpu_time_millis_training: 28120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.1572, kappa: 0.1536, kb_relative_information_score: 4066.8389, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5033, predictive_accuracy: 0.2382, prior_entropy: 3.3219, recall: 0.2382, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.3011, scimark_benchmark: 919.3788, usercpu_time_millis: 92970, usercpu_time_millis_testing: 36470, usercpu_time_millis_training: 56500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 903.2737, usercpu_time_millis: 7820, usercpu_time_millis_testing: 6780, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 903.2737, usercpu_time_millis: 7960, usercpu_time_millis_testing: 6880, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9384, kappa: 0.9316, kb_relative_information_score: 17701.0626, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9387, predictive_accuracy: 0.9384, prior_entropy: 3.3219, recall: 0.9384, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3645, scimark_benchmark: 941.4991, usercpu_time_millis: 2500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8753, kappa: 0.8603, kb_relative_information_score: 17140.0578, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8794, predictive_accuracy: 0.8743, prior_entropy: 3.3219, recall: 0.8743, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4818, scimark_benchmark: 941.4991, usercpu_time_millis: 850770, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 849270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 945.6228, usercpu_time_millis: 8370, usercpu_time_millis_testing: 7230, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9671, kappa: 0.9634, kb_relative_information_score: 17880.7439, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 3.3219, recall: 0.9671, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.3241, scimark_benchmark: 936.9595, usercpu_time_millis: 1900, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9757, kappa: 0.973, kb_relative_information_score: 18557.065, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.976, predictive_accuracy: 0.9757, prior_entropy: 3.3219, recall: 0.9757, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.2618, scimark_benchmark: 938.4601, usercpu_time_millis: 380920, usercpu_time_millis_testing: 125400, usercpu_time_millis_training: 255520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9754, kappa: 0.9727, kb_relative_information_score: 18553.4993, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9757, predictive_accuracy: 0.9754, prior_entropy: 3.3219, recall: 0.9754, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.2637, scimark_benchmark: 943.2803, usercpu_time_millis: 190000, usercpu_time_millis_testing: 62780, usercpu_time_millis_training: 127220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9731, kappa: 0.9701, kb_relative_information_score: 18538.4438, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9734, predictive_accuracy: 0.9731, prior_entropy: 3.3219, recall: 0.9731, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.2682, scimark_benchmark: 939.7241, usercpu_time_millis: 93130, usercpu_time_millis_testing: 29070, usercpu_time_millis_training: 64060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9719, kappa: 0.9687, kb_relative_information_score: 18516.1027, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9721, predictive_accuracy: 0.9719, prior_entropy: 3.3219, recall: 0.9719, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.2765, scimark_benchmark: 941.8684, usercpu_time_millis: 47000, usercpu_time_millis_testing: 15550, usercpu_time_millis_training: 31450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9645, kappa: 0.9605, kb_relative_information_score: 18471.5081, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.2937, scimark_benchmark: 894.7131, usercpu_time_millis: 22720, usercpu_time_millis_testing: 6320, usercpu_time_millis_training: 16400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.73, kappa: 0.6984, kb_relative_information_score: 12996.9135, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7397, predictive_accuracy: 0.7286, prior_entropy: 3.3219, recall: 0.7286, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6618, scimark_benchmark: 929.0296, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 18298.3664, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9546, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.3154, scimark_benchmark: 906.0884, usercpu_time_millis: 17200, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 16930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.951, kappa: 0.9456, kb_relative_information_score: 17810.6767, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9512, predictive_accuracy: 0.951, prior_entropy: 3.3219, recall: 0.951, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.3473, scimark_benchmark: 845.538, usercpu_time_millis: 75160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 75090,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.804, kappa: 0.7822, kb_relative_information_score: 15905.0501, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6156, scimark_benchmark: 899.1108, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9671, kappa: 0.9634, kb_relative_information_score: 17880.7439, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 3.3219, recall: 0.9671, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.3241, scimark_benchmark: 1320.8283, usercpu_time_millis: 1620, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8311, kappa: 0.8127, kb_relative_information_score: 15818.5867, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8316, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5259, scimark_benchmark: 1299.3719, usercpu_time_millis: 14150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.1572, kappa: 0.1536, kb_relative_information_score: 4066.8389, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5033, predictive_accuracy: 0.2382, prior_entropy: 3.3219, recall: 0.2382, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.3011, scimark_benchmark: 1308.891, usercpu_time_millis: 50250, usercpu_time_millis_testing: 21630, usercpu_time_millis_training: 28620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.1572, kappa: 0.1536, kb_relative_information_score: 4066.8389, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5033, predictive_accuracy: 0.2382, prior_entropy: 3.3219, recall: 0.2382, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.3011, scimark_benchmark: 1352.9931, usercpu_time_millis: 69370, usercpu_time_millis_testing: 26070, usercpu_time_millis_training: 43300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 1364.5528, usercpu_time_millis: 9410, usercpu_time_millis_testing: 8420, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 1354.7111, usercpu_time_millis: 11870, usercpu_time_millis_testing: 10750, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9384, kappa: 0.9316, kb_relative_information_score: 17701.0626, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9387, predictive_accuracy: 0.9384, prior_entropy: 3.3219, recall: 0.9384, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3645, scimark_benchmark: 1321.8321, usercpu_time_millis: 2050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9671, kappa: 0.9634, kb_relative_information_score: 17880.7439, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 3.3219, recall: 0.9671, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.3241, scimark_benchmark: 1336.4564, usercpu_time_millis: 1520, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 19453.1438, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9756, predictive_accuracy: 0.9756, prior_entropy: 3.3219, recall: 0.9756, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.2076, scimark_benchmark: 1350.1007, usercpu_time_millis: 47370, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 47330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9671, kappa: 0.9634, kb_relative_information_score: 17880.7439, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 3.3219, recall: 0.9671, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.3241, scimark_benchmark: 1362.1309, usercpu_time_millis: 1360, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9507, kappa: 0.9452, kb_relative_information_score: 17784.4069, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.951, predictive_accuracy: 0.9507, prior_entropy: 3.3219, recall: 0.9507, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.3446, scimark_benchmark: 929.0363, usercpu_time_millis: 11120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 1354.3488, usercpu_time_millis: 6990, usercpu_time_millis_testing: 6170, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8753, kappa: 0.8603, kb_relative_information_score: 17140.0578, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8794, predictive_accuracy: 0.8743, prior_entropy: 3.3219, recall: 0.8743, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4818, scimark_benchmark: 1278.6629, usercpu_time_millis: 1211900, usercpu_time_millis_testing: 5150, usercpu_time_millis_training: 1206750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 1297.2338, usercpu_time_millis: 6790, usercpu_time_millis_testing: 5920, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9671, kappa: 0.9634, kb_relative_information_score: 17880.7439, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 3.3219, recall: 0.9671, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.3241, scimark_benchmark: 1326.8946, usercpu_time_millis: 1660, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.804, kappa: 0.7822, kb_relative_information_score: 15905.0501, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6156, scimark_benchmark: 1384.4422, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 1314.7093, usercpu_time_millis: 7060, usercpu_time_millis_testing: 6310, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8753, kappa: 0.8603, kb_relative_information_score: 17140.0578, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8794, predictive_accuracy: 0.8743, prior_entropy: 3.3219, recall: 0.8743, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4818, scimark_benchmark: 1335.5424, usercpu_time_millis: 1192880, usercpu_time_millis_testing: 4890, usercpu_time_millis_training: 1187990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.804, kappa: 0.7822, kb_relative_information_score: 15905.0501, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6156, scimark_benchmark: 933.1165, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.812, kappa: 0.7961, kb_relative_information_score: 9758.1807, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8298, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.8157, scimark_benchmark: 926.6704, usercpu_time_millis: 260910, usercpu_time_millis_testing: 260910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.1572, kappa: 0.1536, kb_relative_information_score: 4066.8389, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5033, predictive_accuracy: 0.2382, prior_entropy: 3.3219, recall: 0.2382, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.3011, scimark_benchmark: 1380.2233, usercpu_time_millis: 31130, usercpu_time_millis_testing: 19680, usercpu_time_millis_training: 11450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 1354.3488, usercpu_time_millis: 8740, usercpu_time_millis_testing: 7860, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 1342.6911, usercpu_time_millis: 6270, usercpu_time_millis_testing: 5550, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 19368.143, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2567, scimark_benchmark: 1312.0581, usercpu_time_millis: 6820, usercpu_time_millis_testing: 6120, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.804, kappa: 0.7822, kb_relative_information_score: 15905.0501, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6156, scimark_benchmark: 1350.2369, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.957, kappa: 0.9522, kb_relative_information_score: 17668.6152, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9574, predictive_accuracy: 0.957, prior_entropy: 3.3219, recall: 0.957, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3418, scimark_benchmark: 923.988, usercpu_time_millis: 12570, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 12360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9528, kappa: 0.9476, kb_relative_information_score: 17802.8526, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9532, predictive_accuracy: 0.9528, prior_entropy: 3.3219, recall: 0.9528, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3394, scimark_benchmark: 1342.3004, usercpu_time_millis: 35210, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 35140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8311, kappa: 0.8127, kb_relative_information_score: 15818.5867, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8316, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5259, scimark_benchmark: 1331.2332, usercpu_time_millis: 14800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14790,

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