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: 0.6198, average_cost: 16.8346, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: -3144.2553, 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: 0.9889, scimark_benchmark: 1261.6655, total_cost: 672510, usercpu_time_millis: 1.247, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1338.739, mean_absolute_error: 0.2789, 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: 0.9955, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1260.2352, total_cost: 672800, usercpu_time_millis: 0.992, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, average_cost: 16.7858, f_measure: 0.7564, kappa: 0.0054, kb_relative_information_score: -3103.5134, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8255, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9869, scimark_benchmark: 1279.8973, total_cost: 670560, usercpu_time_millis: 1.361, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1.277,
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: 1258.1757, total_cost: 672800, usercpu_time_millis: 1.267, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.152,
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: 1291.1122, total_cost: 672800, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, average_cost: 16.8369, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -2874.9706, mean_absolute_error: 0.2755, 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: 0.9834, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9899, scimark_benchmark: 1284.758, total_cost: 672600, usercpu_time_millis: 1.264, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1.2,
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: 1269.232, total_cost: 672800, usercpu_time_millis: 1.114, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2264.9683, mean_absolute_error: 0.2773, 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: 0.99, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9927, scimark_benchmark: 1280.049, total_cost: 672800, usercpu_time_millis: 1.381, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, average_cost: 16.8301, f_measure: 0.7554, kappa: 0.0011, kb_relative_information_score: -3124.1396, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9884, scimark_benchmark: 1287.7613, total_cost: 672330, usercpu_time_millis: 1.63, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.528,
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: 1272.9041, total_cost: 672800, usercpu_time_millis: 1.482, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.402,
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: 1281.3559, total_cost: 672800, usercpu_time_millis: 1.547, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.394,
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: 1283.6482, total_cost: 672800, usercpu_time_millis: 1.191, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.095,
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: 1256.4785, total_cost: 672800, usercpu_time_millis: 1.696, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.585,
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: 1280.7356, total_cost: 672800, usercpu_time_millis: 1.88, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.731,
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: 1283.16, total_cost: 672800, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 1.204,
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: 1284.0925, total_cost: 672800, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -45.2629, 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: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1260.9, total_cost: 672800, usercpu_time_millis: 1.431, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 1.345,
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: 1289.9741, total_cost: 672800, usercpu_time_millis: 0.797, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, average_cost: 16.8254, f_measure: 0.7555, kappa: 0.0015, kb_relative_information_score: -3166.9335, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9882, scimark_benchmark: 1284.8441, total_cost: 672140, usercpu_time_millis: 1.093, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, average_cost: 16.7808, f_measure: 0.7565, kappa: 0.0059, kb_relative_information_score: -3105.341, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8278, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9867, scimark_benchmark: 1280.9773, total_cost: 670360, usercpu_time_millis: 1.462, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.385,
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: 1281.9429, total_cost: 672800, usercpu_time_millis: 1.069, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.993,
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: 1277.3981, total_cost: 672800, usercpu_time_millis: 0.928, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2068.7622, mean_absolute_error: 0.2771, 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: 0.9892, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9921, scimark_benchmark: 1278.1677, total_cost: 672700, usercpu_time_millis: 1.153, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 1.083,
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: 1283.722, total_cost: 672800, usercpu_time_millis: 0.945, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.876,
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: 1273.153, total_cost: 672800, usercpu_time_millis: 0.902, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.831,
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: 1274.6561, total_cost: 672800, usercpu_time_millis: 0.975, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, average_cost: 16.8254, f_measure: 0.7555, kappa: 0.0015, kb_relative_information_score: -3199.1585, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9883, scimark_benchmark: 1276.8124, total_cost: 672140, usercpu_time_millis: 1.926, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 1.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, average_cost: 16.8276, f_measure: 0.7554, kappa: 0.0013, kb_relative_information_score: -3173.4649, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8039, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9883, scimark_benchmark: 1279.3915, total_cost: 672230, usercpu_time_millis: 1.461, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.336,
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: 1257.2822, total_cost: 672800, usercpu_time_millis: 1.141, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, average_cost: 16.7883, f_measure: 0.7564, kappa: 0.0051, kb_relative_information_score: -3131.5254, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8242, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9869, scimark_benchmark: 1267.4509, total_cost: 670660, usercpu_time_millis: 2.062, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.937,
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: 1267.9641, total_cost: 672800, usercpu_time_millis: 1.987, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.895,
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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: 1256.3331, total_cost: 672800, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.995,
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: 1249.6089, total_cost: 672800, usercpu_time_millis: 1.011, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.94,
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: 1268.7063, total_cost: 672800, usercpu_time_millis: 1.015, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.946,
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: 1282.2321, total_cost: 672800, usercpu_time_millis: 0.833, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.767,
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: -3024.5642, 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: 1282.2038, total_cost: 672700, usercpu_time_millis: 2.13, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 2.024,

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