OpenML
Supervised Classification on cpu_small

Supervised Classification on cpu_small

Task 3601 Supervised Classification cpu_small 541 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.905, kappa: 0.7733, kb_relative_information_score: 5999.5525, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9047, predictive_accuracy: 0.9056, prior_entropy: 0.8842, recall: 0.9056, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6221, scimark_benchmark: 1838.8826, usercpu_time_millis: 140.4009, usercpu_time_millis_training: 140.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9148, kappa: 0.7964, kb_relative_information_score: 5891.5274, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9148, predictive_accuracy: 0.9156, prior_entropy: 0.8842, recall: 0.9156, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5258, scimark_benchmark: 1838.8826, usercpu_time_millis: 2308.8148, usercpu_time_millis_testing: 218.4014, usercpu_time_millis_training: 2090.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9225, kappa: 0.8144, kb_relative_information_score: 5970.1353, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9227, predictive_accuracy: 0.9233, prior_entropy: 0.8842, recall: 0.9233, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5057, scimark_benchmark: 1838.8826, usercpu_time_millis: 2137.2137, usercpu_time_millis_testing: 187.2012, usercpu_time_millis_training: 1950.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.8688, kappa: 0.6879, kb_relative_information_score: 5470.9619, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8684, predictive_accuracy: 0.8693, prior_entropy: 0.8842, recall: 0.8693, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7872, scimark_benchmark: 1838.8826, usercpu_time_millis: 2698.8173, usercpu_time_millis_testing: 2667.6171, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8967, kappa: 0.7541, kb_relative_information_score: 6052.2672, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8964, predictive_accuracy: 0.8972, prior_entropy: 0.8842, recall: 0.8972, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6979, scimark_benchmark: 1838.8826, usercpu_time_millis: 3525.6226, usercpu_time_millis_testing: 3525.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8731, kappa: 0.6942, kb_relative_information_score: 5561.0756, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8737, predictive_accuracy: 0.8757, prior_entropy: 0.8842, recall: 0.8757, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7259, scimark_benchmark: 1838.8826, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8848, kappa: 0.7217, kb_relative_information_score: 5861.0496, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8867, predictive_accuracy: 0.8877, prior_entropy: 0.8842, recall: 0.8877, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6973, scimark_benchmark: 1838.8826, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5734, kb_relative_information_score: -0.3142, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4593, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9242, kappa: 0.8189, kb_relative_information_score: 6627.5017, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9242, predictive_accuracy: 0.9248, prior_entropy: 0.8842, recall: 0.9248, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5971, usercpu_time_millis: 639.955, usercpu_time_millis_testing: 63.312, usercpu_time_millis_training: 576.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7519, kappa: 0.3973, kb_relative_information_score: 3207.61, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7498, predictive_accuracy: 0.7604, prior_entropy: 0.8842, recall: 0.7604, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0658, usercpu_time_millis: 17.663, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 17.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8996, kappa: 0.759, kb_relative_information_score: 6134.9561, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9, predictive_accuracy: 0.9011, prior_entropy: 0.8842, recall: 0.9011, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6846, usercpu_time_millis: 2.372, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.7773, kappa: 0.458, kb_relative_information_score: 3735.7002, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7771, predictive_accuracy: 0.7858, prior_entropy: 0.8842, recall: 0.7858, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4629, root_relative_squared_error: 1.0078, usercpu_time_millis: 269.762, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 269.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9194, kappa: 0.8065, kb_relative_information_score: 6538.6404, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.92, predictive_accuracy: 0.9205, prior_entropy: 0.8842, recall: 0.9205, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.6138, usercpu_time_millis: 24.769, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 23.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.87, kappa: 0.7077, kb_relative_information_score: 5401.2154, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8897, predictive_accuracy: 0.8658, prior_entropy: 0.8842, recall: 0.8658, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7975, usercpu_time_millis: 3.55, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 3.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.5812, kappa: 0.0155, kb_relative_information_score: 1971.1681, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7803, predictive_accuracy: 0.7009, prior_entropy: 0.8842, recall: 0.7009, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1907, usercpu_time_millis: 2.303, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 2.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8695, kappa: 0.6823, kb_relative_information_score: 5586.5547, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8753, predictive_accuracy: 0.8748, prior_entropy: 0.8842, recall: 0.8748, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7705, usercpu_time_millis: 1.75, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 1.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8934, kappa: 0.7429, kb_relative_information_score: 6023.2447, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8949, predictive_accuracy: 0.8958, prior_entropy: 0.8842, recall: 0.8958, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.703, usercpu_time_millis: 0.999, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.9012, kappa: 0.7616, kb_relative_information_score: 6183.1951, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.903, predictive_accuracy: 0.9034, prior_entropy: 0.8842, recall: 0.9034, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6766, usercpu_time_millis: 42.01, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 41.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9227, kappa: 0.8153, kb_relative_information_score: 6599.5739, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9228, predictive_accuracy: 0.9235, prior_entropy: 0.8842, recall: 0.9235, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6024, usercpu_time_millis: 52.929, usercpu_time_millis_testing: 1.666, usercpu_time_millis_training: 51.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.9206, kappa: 0.8096, kb_relative_information_score: 6561.4904, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.921, predictive_accuracy: 0.9216, prior_entropy: 0.8842, recall: 0.9216, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6095, usercpu_time_millis: 843.723, usercpu_time_millis_testing: 228.867, usercpu_time_millis_training: 614.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.8925, kappa: 0.7383, kb_relative_information_score: 6041.0169, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.899, predictive_accuracy: 0.8966, prior_entropy: 0.8842, recall: 0.8966, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.7001, usercpu_time_millis: 271.413, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 271.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.8462, kappa: 0.6296, kb_relative_information_score: 5053.3867, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8459, predictive_accuracy: 0.8491, prior_entropy: 0.8842, recall: 0.8491, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.8457, usercpu_time_millis: 125.356, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 125.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9246, kappa: 0.8194, kb_relative_information_score: 6642.7351, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.925, predictive_accuracy: 0.9255, prior_entropy: 0.8842, recall: 0.9255, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5941, usercpu_time_millis: 52.855, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 52.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.912, kappa: 0.789, kb_relative_information_score: 6383.7678, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9122, predictive_accuracy: 0.9131, prior_entropy: 0.8842, recall: 0.9131, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6419, usercpu_time_millis: 3.068, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 3.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.8608, kappa: 0.6604, kb_relative_information_score: 5426.6043, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8679, predictive_accuracy: 0.8671, prior_entropy: 0.8842, recall: 0.8671, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7938, usercpu_time_millis: 1.468, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.7082, kappa: 0.2801, kb_relative_information_score: 2989.265, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7455, predictive_accuracy: 0.7499, prior_entropy: 0.8842, recall: 0.7499, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0889, usercpu_time_millis: 149.18, usercpu_time_millis_testing: 8.229, usercpu_time_millis_training: 140.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.7417, kappa: 0.3618, kb_relative_information_score: 3469.1162, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7741, predictive_accuracy: 0.7729, prior_entropy: 0.8842, recall: 0.7729, relative_absolute_error: 0.5382, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0375, usercpu_time_millis: 2.119, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 2.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.828, kappa: 0.588, kb_relative_information_score: 4657.3191, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.827, predictive_accuracy: 0.8301, prior_entropy: 0.8842, recall: 0.8301, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8975, usercpu_time_millis: 6.832, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 6.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.9017, kappa: 0.7644, kb_relative_information_score: 6173.0395, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9018, predictive_accuracy: 0.903, prior_entropy: 0.8842, recall: 0.903, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6783, usercpu_time_millis: 5.34, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 4.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.6805, kappa: 0.2215, kb_relative_information_score: 2887.7092, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7773, predictive_accuracy: 0.745, prior_entropy: 0.8842, recall: 0.745, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0995, usercpu_time_millis: 1.714, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.8319, kappa: 0.5906, kb_relative_information_score: 4835.0418, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8354, predictive_accuracy: 0.8386, prior_entropy: 0.8842, recall: 0.8386, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8747, usercpu_time_millis: 1.249, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.6862, kappa: 0.2321, kb_relative_information_score: 2882.6314, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7608, predictive_accuracy: 0.7448, prior_entropy: 0.8842, recall: 0.7448, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.1, usercpu_time_millis: 1.258, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8814, kappa: 0.71, kb_relative_information_score: 5845.522, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8921, predictive_accuracy: 0.8872, prior_entropy: 0.8842, recall: 0.8872, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.7312, usercpu_time_millis: 45.92, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 45.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.6016, kappa: 0.0552, kb_relative_information_score: 2136.1963, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7598, predictive_accuracy: 0.7089, prior_entropy: 0.8842, recall: 0.7089, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5396, root_relative_squared_error: 1.1748, usercpu_time_millis: 1.994, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 1.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.8615, kappa: 0.6625, kb_relative_information_score: 5429.1432, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8672, predictive_accuracy: 0.8672, prior_entropy: 0.8842, recall: 0.8672, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7935, usercpu_time_millis: 4.31, usercpu_time_millis_testing: 3.752, usercpu_time_millis_training: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9125, kappa: 0.7903, kb_relative_information_score: 6396.4623, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9129, predictive_accuracy: 0.9137, prior_entropy: 0.8842, recall: 0.9137, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.6396, usercpu_time_millis: 10.182, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 10.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.9129, kappa: 0.7914, kb_relative_information_score: 6401.54, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9131, predictive_accuracy: 0.9139, prior_entropy: 0.8842, recall: 0.9139, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6387, usercpu_time_millis: 3.418, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 3.372,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.756, kappa: 0.3977, kb_relative_information_score: 3598.5998, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7744, predictive_accuracy: 0.7792, prior_entropy: 0.8842, recall: 0.7792, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.0232, usercpu_time_millis: 0.269, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.9101, kappa: 0.7843, kb_relative_information_score: 6345.6844, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9104, predictive_accuracy: 0.9113, prior_entropy: 0.8842, recall: 0.9113, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.6486, usercpu_time_millis: 0.383, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.9193, kappa: 0.8066, kb_relative_information_score: 6536.1015, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9198, predictive_accuracy: 0.9204, prior_entropy: 0.8842, recall: 0.9204, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6143, usercpu_time_millis: 12.601, usercpu_time_millis_testing: 2.023, usercpu_time_millis_training: 10.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.9107, kappa: 0.7861, kb_relative_information_score: 6355.8399, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9108, predictive_accuracy: 0.9117, prior_entropy: 0.8842, recall: 0.9117, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.6468, usercpu_time_millis: 2.27, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.8916, kappa: 0.7357, kb_relative_information_score: 6033.4003, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9, predictive_accuracy: 0.8962, prior_entropy: 0.8842, recall: 0.8962, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.7013, usercpu_time_millis: 0.943, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.9116, kappa: 0.788, kb_relative_information_score: 6376.1511, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9119, predictive_accuracy: 0.9127, prior_entropy: 0.8842, recall: 0.9127, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6432, usercpu_time_millis: 15.212, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 14.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8967, kappa: 0.7541, kb_relative_information_score: 6053.7114, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8964, predictive_accuracy: 0.8972, prior_entropy: 0.8842, recall: 0.8972, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.698, usercpu_time_millis: 44.99, usercpu_time_millis_testing: 6.069, usercpu_time_millis_training: 38.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.8916, kappa: 0.7357, kb_relative_information_score: 6033.4003, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9, predictive_accuracy: 0.8962, prior_entropy: 0.8842, recall: 0.8962, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.7013, usercpu_time_millis: 26.142, usercpu_time_millis_testing: 4.544, usercpu_time_millis_training: 21.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.905, kappa: 0.7733, kb_relative_information_score: 6228.8952, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9047, predictive_accuracy: 0.9056, prior_entropy: 0.8842, recall: 0.9056, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6688, usercpu_time_millis: 3.492, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 3.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9275, kappa: 0.8273, kb_relative_information_score: 6693.513, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9274, predictive_accuracy: 0.928, prior_entropy: 0.8842, recall: 0.928, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5843, usercpu_time_millis: 319.198, usercpu_time_millis_testing: 3.259, usercpu_time_millis_training: 315.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8998, kappa: 0.7584, kb_relative_information_score: 6150.1894, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9012, predictive_accuracy: 0.9019, prior_entropy: 0.8842, recall: 0.9019, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6821, usercpu_time_millis: 5.349, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 5.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.9061, kappa: 0.7738, kb_relative_information_score: 6279.6731, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9077, predictive_accuracy: 0.9081, prior_entropy: 0.8842, recall: 0.9081, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6601, usercpu_time_millis: 3.73, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 3.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, usercpu_time_millis: 3.572, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 3.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.899, kappa: 0.7591, kb_relative_information_score: 6107.0282, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8988, predictive_accuracy: 0.8998, prior_entropy: 0.8842, recall: 0.8998, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6893, usercpu_time_millis: 3.545, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 3.458,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9222, kappa: 0.8138, kb_relative_information_score: 6589.4183, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9223, predictive_accuracy: 0.923, prior_entropy: 0.8842, recall: 0.923, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.6043, usercpu_time_millis: 112.623, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 111.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9203, kappa: 0.8097, kb_relative_information_score: 6546.2571, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9202, predictive_accuracy: 0.9209, prior_entropy: 0.8842, recall: 0.9209, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.6124, usercpu_time_millis: 43.334, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 42.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.9129, kappa: 0.7914, kb_relative_information_score: 6401.54, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9131, predictive_accuracy: 0.9139, prior_entropy: 0.8842, recall: 0.9139, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6387, usercpu_time_millis: 3.496, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 3.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.7489, kappa: 0.3883, kb_relative_information_score: 3179.6821, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7474, predictive_accuracy: 0.759, prior_entropy: 0.8842, recall: 0.759, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.0688, usercpu_time_millis: 18.664, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 18.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.6918, kappa: 0.2448, kb_relative_information_score: 2943.5649, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7631, predictive_accuracy: 0.7477, prior_entropy: 0.8842, recall: 0.7477, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0937, usercpu_time_millis: 6.699, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 6.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9041, kappa: 0.7697, kb_relative_information_score: 5564.8227, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9045, predictive_accuracy: 0.9055, prior_entropy: 0.8842, recall: 0.9055, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.277, root_relative_squared_error: 0.603, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.903, kappa: 0.7702, kb_relative_information_score: 4569.005, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.903, predictive_accuracy: 0.903, prior_entropy: 0.8842, recall: 0.903, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6018, scimark_benchmark: 972.587, usercpu_time_millis: 1200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9045, kappa: 0.7715, kb_relative_information_score: 5477.1262, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9045, predictive_accuracy: 0.9055, prior_entropy: 0.8842, recall: 0.9055, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5729, scimark_benchmark: 851.2074, usercpu_time_millis: 3050, usercpu_time_millis_training: 3050,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9225, kappa: 0.8144, kb_relative_information_score: 5970.1353, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9227, predictive_accuracy: 0.9233, prior_entropy: 0.8842, recall: 0.9233, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5057, scimark_benchmark: 947.1781, usercpu_time_millis: 3850, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 3440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9041, kappa: 0.7697, kb_relative_information_score: 5564.8227, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9045, predictive_accuracy: 0.9055, prior_entropy: 0.8842, recall: 0.9055, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.277, root_relative_squared_error: 0.603, scimark_benchmark: 819.5729, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.903, kappa: 0.7702, kb_relative_information_score: 4569.005, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.903, predictive_accuracy: 0.903, prior_entropy: 0.8842, recall: 0.903, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6018, scimark_benchmark: 901.6243, usercpu_time_millis: 890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9045, kappa: 0.7715, kb_relative_information_score: 5477.1262, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9045, predictive_accuracy: 0.9055, prior_entropy: 0.8842, recall: 0.9055, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5729, scimark_benchmark: 944.0133, usercpu_time_millis: 1880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 930.404, usercpu_time_millis: 53880, usercpu_time_millis_testing: 6060, usercpu_time_millis_training: 47820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 934.5964, usercpu_time_millis: 34380, usercpu_time_millis_testing: 7290, usercpu_time_millis_training: 27090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9122, kappa: 0.7931, kb_relative_information_score: 6102.1065, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9129, predictive_accuracy: 0.9117, prior_entropy: 0.8842, recall: 0.9117, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.557, scimark_benchmark: 930.404, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9122, kappa: 0.7931, kb_relative_information_score: 6102.1065, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9129, predictive_accuracy: 0.9117, prior_entropy: 0.8842, recall: 0.9117, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.557, scimark_benchmark: 903.2737, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9122, kappa: 0.7931, kb_relative_information_score: 6102.1065, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9129, predictive_accuracy: 0.9117, prior_entropy: 0.8842, recall: 0.9117, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.557, scimark_benchmark: 930.404, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9182, kappa: 0.8045, kb_relative_information_score: 5936.4396, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9183, predictive_accuracy: 0.9191, prior_entropy: 0.8842, recall: 0.9191, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.524, scimark_benchmark: 941.4991, usercpu_time_millis: 870, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9172, kappa: 0.8018, kb_relative_information_score: 6000.068, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9173, predictive_accuracy: 0.9181, prior_entropy: 0.8842, recall: 0.9181, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5211, scimark_benchmark: 932.438, usercpu_time_millis: 1386790, usercpu_time_millis_testing: 9960, usercpu_time_millis_training: 1376830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9122, kappa: 0.7931, kb_relative_information_score: 6102.1065, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9129, predictive_accuracy: 0.9117, prior_entropy: 0.8842, recall: 0.9117, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.557, scimark_benchmark: 936.9595, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9225, kappa: 0.8144, kb_relative_information_score: 5970.1353, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9227, predictive_accuracy: 0.9233, prior_entropy: 0.8842, recall: 0.9233, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5057, scimark_benchmark: 936.3213, usercpu_time_millis: 4680, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 4170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9243, kappa: 0.8187, kb_relative_information_score: 5946.1513, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9248, predictive_accuracy: 0.9253, prior_entropy: 0.8842, recall: 0.9253, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5038, scimark_benchmark: 936.3373, usercpu_time_millis: 78980, usercpu_time_millis_testing: 20510, usercpu_time_millis_training: 58470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.924, kappa: 0.818, kb_relative_information_score: 5943.7749, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9244, predictive_accuracy: 0.9249, prior_entropy: 0.8842, recall: 0.9249, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5044, scimark_benchmark: 939.8002, usercpu_time_millis: 31930, usercpu_time_millis_testing: 3960, usercpu_time_millis_training: 27970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9247, kappa: 0.8196, kb_relative_information_score: 5938.1755, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9251, predictive_accuracy: 0.9257, prior_entropy: 0.8842, recall: 0.9257, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.5064, scimark_benchmark: 921.2615, usercpu_time_millis: 16580, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 14590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9238, kappa: 0.8174, kb_relative_information_score: 5927.2769, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9241, predictive_accuracy: 0.9247, prior_entropy: 0.8842, recall: 0.9247, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5098, scimark_benchmark: 869.7667, usercpu_time_millis: 8450, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 7480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9214, kappa: 0.8118, kb_relative_information_score: 5919.0842, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9216, predictive_accuracy: 0.9222, prior_entropy: 0.8842, recall: 0.9222, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.238, root_relative_squared_error: 0.5183, scimark_benchmark: 889.4922, usercpu_time_millis: 4530, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 3980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9051, kappa: 0.774, kb_relative_information_score: 5803.776, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9048, predictive_accuracy: 0.9055, prior_entropy: 0.8842, recall: 0.9055, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5721, scimark_benchmark: 929.0296, usercpu_time_millis: 450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9051, kappa: 0.774, kb_relative_information_score: 5803.776, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9048, predictive_accuracy: 0.9055, prior_entropy: 0.8842, recall: 0.9055, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5721, scimark_benchmark: 926.5859, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9051, kappa: 0.774, kb_relative_information_score: 5803.776, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9048, predictive_accuracy: 0.9055, prior_entropy: 0.8842, recall: 0.9055, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5721, scimark_benchmark: 894.7131, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9051, kappa: 0.774, kb_relative_information_score: 5803.776, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9048, predictive_accuracy: 0.9055, prior_entropy: 0.8842, recall: 0.9055, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5721, scimark_benchmark: 926.5859, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9014, kappa: 0.7652, kb_relative_information_score: 5721.5413, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9012, predictive_accuracy: 0.902, prior_entropy: 0.8842, recall: 0.902, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.579, scimark_benchmark: 929.0296, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8886, kappa: 0.7344, kb_relative_information_score: 5340.2651, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8882, predictive_accuracy: 0.8893, prior_entropy: 0.8842, recall: 0.8893, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.6217, scimark_benchmark: 936.1714, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.901, kappa: 0.7624, kb_relative_information_score: 6120.1317, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9014, predictive_accuracy: 0.9025, prior_entropy: 0.8842, recall: 0.9025, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.6365, scimark_benchmark: 936.1714, usercpu_time_millis: 5200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8882, kappa: 0.7304, kb_relative_information_score: 5895.8778, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8893, predictive_accuracy: 0.8905, prior_entropy: 0.8842, recall: 0.8905, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6655, scimark_benchmark: 935.6052, usercpu_time_millis: 2490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8736, kappa: 0.6943, kb_relative_information_score: 5576.6058, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8752, predictive_accuracy: 0.8768, prior_entropy: 0.8842, recall: 0.8768, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7193, scimark_benchmark: 940.0055, usercpu_time_millis: 1440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8375, kappa: 0.6008, kb_relative_information_score: 5030.2433, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8525, predictive_accuracy: 0.8481, prior_entropy: 0.8842, recall: 0.8481, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7923, scimark_benchmark: 935.6052, usercpu_time_millis: 620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8326, kappa: 0.592, kb_relative_information_score: 4841.8695, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8367, predictive_accuracy: 0.8396, prior_entropy: 0.8842, recall: 0.8396, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.8468, scimark_benchmark: 935.6052, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,

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