OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1281.2153, total_cost: 672800, usercpu_time_millis: 1.125, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -3241.9483, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.99, scimark_benchmark: 1281.5593, total_cost: 672700, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1273.3016, total_cost: 672800, usercpu_time_millis: 1.139, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1279.9099, total_cost: 672800, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2179.9878, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.9935, scimark_benchmark: 1272.0045, total_cost: 672800, usercpu_time_millis: 1.067, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1279.9992, total_cost: 672800, usercpu_time_millis: 1.025, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, average_cost: 16.7933, f_measure: 0.7562, kappa: 0.0046, kb_relative_information_score: -3129.2419, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8214, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9872, scimark_benchmark: 1273.1563, total_cost: 670860, usercpu_time_millis: 2.314, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 2.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2236.093, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9913, scimark_benchmark: 1273.0551, total_cost: 672700, usercpu_time_millis: 2.455, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 2.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1277.3586, total_cost: 672800, usercpu_time_millis: 1.541, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1275.4302, total_cost: 672800, usercpu_time_millis: 1.713, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1272.2533, total_cost: 672800, usercpu_time_millis: 1.846, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, average_cost: 16.7933, f_measure: 0.7562, kappa: 0.0046, kb_relative_information_score: -3127.8015, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8214, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9872, scimark_benchmark: 1276.2711, total_cost: 670860, usercpu_time_millis: 1.869, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1292.3448, total_cost: 672800, usercpu_time_millis: 0.775, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1285.2601, total_cost: 672800, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1283.9094, total_cost: 672800, usercpu_time_millis: 0.99, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2426.2765, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9925, scimark_benchmark: 1273.4045, total_cost: 672800, usercpu_time_millis: 1.178, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1265.1812, total_cost: 672800, usercpu_time_millis: 1.3, usercpu_time_millis_testing: -0.005, usercpu_time_millis_training: 1.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1269.6394, total_cost: 672800, usercpu_time_millis: 1.45, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, average_cost: 16.7811, f_measure: 0.7565, kappa: 0.0058, kb_relative_information_score: -3117.7176, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8235, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9867, scimark_benchmark: 1265.98, total_cost: 670370, usercpu_time_millis: 1.706, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1269.221, total_cost: 672800, usercpu_time_millis: 1.656, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1279.3118, total_cost: 672800, usercpu_time_millis: 1.861, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 1.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1269.6853, total_cost: 672800, usercpu_time_millis: 1.409, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1279.5672, total_cost: 672800, usercpu_time_millis: 1.581, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 1.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1266.514, total_cost: 672800, usercpu_time_millis: 1.413, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -3039.5012, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9908, scimark_benchmark: 1275.7352, total_cost: 672700, usercpu_time_millis: 2.009, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, average_cost: 16.8346, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: -3249.8838, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.989, scimark_benchmark: 1282.3856, total_cost: 672510, usercpu_time_millis: 3.196, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 2.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, average_cost: 16.8346, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: -3179.7791, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.989, scimark_benchmark: 1275.9206, total_cost: 672510, usercpu_time_millis: 1.506, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 1.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1278.3103, total_cost: 672800, usercpu_time_millis: 2.111, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1271.2601, total_cost: 672800, usercpu_time_millis: 2.193, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -9287.0125, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0628, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0298, scimark_benchmark: 1271.4923, total_cost: 672700, usercpu_time_millis: 124.657, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 124.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1274.1506, total_cost: 672800, usercpu_time_millis: 0.785, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1283.8402, total_cost: 672800, usercpu_time_millis: 0.738, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.678,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1285.1034, total_cost: 672800, usercpu_time_millis: 1.128, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1283.7421, total_cost: 672800, usercpu_time_millis: 1.414, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1281.1857, total_cost: 672800, usercpu_time_millis: 1.975, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 1.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1281.729, total_cost: 672800, usercpu_time_millis: 1.291, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.212,

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