OpenML
Supervised Classification on fri_c1_500_5

Supervised Classification on fri_c1_500_5

Task 3734 Supervised Classification fri_c1_500_5 572 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: 0.7202, f_measure: 0.7239, kappa: 0.4451, kb_relative_information_score: 114.017, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7239, predictive_accuracy: 0.724, prior_entropy: 0.9967, recall: 0.724, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9351, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.712, kappa: 0.4213, kb_relative_information_score: 118.7634, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.712, predictive_accuracy: 0.712, prior_entropy: 0.9967, recall: 0.712, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.924, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8795, kappa: 0.7576, kb_relative_information_score: 379.1887, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8818, predictive_accuracy: 0.88, prior_entropy: 0.9967, recall: 0.88, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8735, kappa: 0.7455, kb_relative_information_score: 373.1488, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8755, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.8073, kappa: 0.6123, kb_relative_information_score: 306.7099, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8087, predictive_accuracy: 0.808, prior_entropy: 0.9967, recall: 0.808, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.8337, kappa: 0.6656, kb_relative_information_score: 332.8828, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 0.9967, recall: 0.834, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8774, kappa: 0.7535, kb_relative_information_score: 377.1754, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8538, kappa: 0.7059, kb_relative_information_score: 332.148, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8541, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.723, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8537, kappa: 0.7058, kb_relative_information_score: 343.0983, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8543, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7294, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8778, kappa: 0.7543, kb_relative_information_score: 346.7807, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8782, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5844, scimark_benchmark: 1806.5905, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751, scimark_benchmark: 1806.5905, 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: 0.8888, f_measure: 0.8881, kappa: 0.7756, kb_relative_information_score: 385.9982, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8889, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6694, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.8217, kappa: 0.6415, kb_relative_information_score: 319.7708, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9967, recall: 0.822, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8439, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.7239, kappa: 0.4451, kb_relative_information_score: 114.0518, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7239, predictive_accuracy: 0.724, prior_entropy: 0.9967, recall: 0.724, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.935, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.714, kappa: 0.4252, kb_relative_information_score: 118.7905, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7139, predictive_accuracy: 0.714, prior_entropy: 0.9967, recall: 0.714, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.924, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.034, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9018, kappa: 0.8025, kb_relative_information_score: 401.335, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9025, predictive_accuracy: 0.902, prior_entropy: 0.9967, recall: 0.902, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6276, usercpu_time_millis: 351.543, usercpu_time_millis_testing: 4.163, usercpu_time_millis_training: 347.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7897, kappa: 0.5777, kb_relative_information_score: 290.6035, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7968, predictive_accuracy: 0.792, prior_entropy: 0.9967, recall: 0.792, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9143, usercpu_time_millis: 94.727, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 94.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.834, kappa: 0.6665, kb_relative_information_score: 332.8828, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 0.9967, recall: 0.834, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8168, usercpu_time_millis: 11.904, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 11.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8341, kappa: 0.6667, kb_relative_information_score: 332.8828, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8342, predictive_accuracy: 0.834, prior_entropy: 0.9967, recall: 0.834, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8168, usercpu_time_millis: 0.814, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8721, kappa: 0.7432, kb_relative_information_score: 371.1355, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9967, recall: 0.872, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7172, usercpu_time_millis: 0.289, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8793, kappa: 0.7573, kb_relative_information_score: 379.1887, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8828, predictive_accuracy: 0.88, prior_entropy: 0.9967, recall: 0.88, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6944, usercpu_time_millis: 20.724, usercpu_time_millis_testing: 2.962, usercpu_time_millis_training: 17.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.6519, kappa: 0.3, kb_relative_information_score: 151.6858, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6532, predictive_accuracy: 0.654, prior_entropy: 0.9967, recall: 0.654, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1792, usercpu_time_millis: 0.278, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.702, kappa: 0.4014, kb_relative_information_score: 200.005, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7021, predictive_accuracy: 0.702, prior_entropy: 0.9967, recall: 0.702, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.0943, usercpu_time_millis: 18.076, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 17.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8637, kappa: 0.7258, kb_relative_information_score: 363.0823, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 0.9967, recall: 0.864, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7393, usercpu_time_millis: 3.348, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 2.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.7328, kappa: 0.4624, kb_relative_information_score: 232.2178, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7341, predictive_accuracy: 0.734, prior_entropy: 0.9967, recall: 0.734, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0339, usercpu_time_millis: 0.303, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8489, kappa: 0.6962, kb_relative_information_score: 348.9892, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8537, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7764, usercpu_time_millis: 0.147, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6547, kappa: 0.3054, kb_relative_information_score: 153.6991, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6551, predictive_accuracy: 0.656, prior_entropy: 0.9967, recall: 0.656, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1758, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8976, kappa: 0.794, kb_relative_information_score: 397.3084, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8998, predictive_accuracy: 0.898, prior_entropy: 0.9967, recall: 0.898, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6402, usercpu_time_millis: 3.598, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 3.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8795, kappa: 0.7576, kb_relative_information_score: 379.1887, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8818, predictive_accuracy: 0.88, prior_entropy: 0.9967, recall: 0.88, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6944, usercpu_time_millis: 3.213, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 2.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.7635, kappa: 0.5242, kb_relative_information_score: 262.4173, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7638, predictive_accuracy: 0.764, prior_entropy: 0.9967, recall: 0.764, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9739, usercpu_time_millis: 27.978, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 27.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6481, kappa: 0.2923, kb_relative_information_score: 147.6592, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6491, predictive_accuracy: 0.65, prior_entropy: 0.9967, recall: 0.65, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.186, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.6503, kappa: 0.2965, kb_relative_information_score: 149.6725, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1826, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.65, kappa: 0.2962, kb_relative_information_score: 149.6725, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1826, usercpu_time_millis: 0.502, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.6779, kappa: 0.3525, kb_relative_information_score: 175.8454, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6778, predictive_accuracy: 0.678, prior_entropy: 0.9967, recall: 0.678, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.1375, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.6309, kappa: 0.2776, kb_relative_information_score: 147.6592, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6669, predictive_accuracy: 0.65, prior_entropy: 0.9967, recall: 0.65, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.186, usercpu_time_millis: 1.191, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7361, kappa: 0.4701, kb_relative_information_score: 234.2311, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7363, predictive_accuracy: 0.736, prior_entropy: 0.9967, recall: 0.736, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.03, usercpu_time_millis: 1.189, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8341, kappa: 0.6671, kb_relative_information_score: 332.8828, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8346, predictive_accuracy: 0.834, prior_entropy: 0.9967, recall: 0.834, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8168, usercpu_time_millis: 1.671, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 1.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.5249, kappa: 0.1161, kb_relative_information_score: 75.1803, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.597, predictive_accuracy: 0.578, prior_entropy: 0.9967, recall: 0.578, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3022, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.714, kappa: 0.4252, kb_relative_information_score: 212.0848, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7139, predictive_accuracy: 0.714, prior_entropy: 0.9967, recall: 0.714, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.0721, usercpu_time_millis: 0.418, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8881, kappa: 0.7756, kb_relative_information_score: 387.2419, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8889, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6709, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.6503, kappa: 0.2965, kb_relative_information_score: 149.6725, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1826, usercpu_time_millis: 0.13, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9021, kappa: 0.8035, kb_relative_information_score: 401.335, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9025, predictive_accuracy: 0.902, prior_entropy: 0.9967, recall: 0.902, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6276, usercpu_time_millis: 8.47, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 7.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.65, kappa: 0.2962, kb_relative_information_score: 149.6725, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1826, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.6503, kappa: 0.2965, kb_relative_information_score: 149.6725, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1826, usercpu_time_millis: 0.576, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8362, kappa: 0.6716, kb_relative_information_score: 334.8961, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8373, predictive_accuracy: 0.836, prior_entropy: 0.9967, recall: 0.836, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8118, usercpu_time_millis: 1.118, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8518, kappa: 0.702, kb_relative_information_score: 351.0025, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9967, recall: 0.852, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7712, usercpu_time_millis: 0.107, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8761, kappa: 0.7511, kb_relative_information_score: 375.1621, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7059, usercpu_time_millis: 0.399, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.65, kappa: 0.2962, kb_relative_information_score: 149.6725, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1826, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.65, kappa: 0.2962, kb_relative_information_score: 149.6725, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1826, usercpu_time_millis: 0.034, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.65, kappa: 0.2962, kb_relative_information_score: 149.6725, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1826, usercpu_time_millis: 0.043, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8719, kappa: 0.7424, kb_relative_information_score: 371.1355, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9967, recall: 0.872, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7172, usercpu_time_millis: 88.546, usercpu_time_millis_testing: 6.626, usercpu_time_millis_training: 81.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.65, kappa: 0.2962, kb_relative_information_score: 149.6725, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1826, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8537, kappa: 0.7058, kb_relative_information_score: 353.0158, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8543, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.766, usercpu_time_millis: 2.544, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 1.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.6519, kappa: 0.3, kb_relative_information_score: 151.6858, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6532, predictive_accuracy: 0.654, prior_entropy: 0.9967, recall: 0.654, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1792, usercpu_time_millis: 0.437, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.8217, kappa: 0.6415, kb_relative_information_score: 320.803, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9967, recall: 0.822, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8458, usercpu_time_millis: 2.2, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.8554, kappa: 0.7091, kb_relative_information_score: 355.0291, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8575, predictive_accuracy: 0.856, prior_entropy: 0.9967, recall: 0.856, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7607, usercpu_time_millis: 2.322, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 1.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.8519, kappa: 0.7021, kb_relative_information_score: 351.0025, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9967, recall: 0.852, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7712, usercpu_time_millis: 22.467, usercpu_time_millis_testing: 2.642, usercpu_time_millis_training: 19.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6522, kappa: 0.3004, kb_relative_information_score: 151.6858, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6531, predictive_accuracy: 0.654, prior_entropy: 0.9967, recall: 0.654, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1792, usercpu_time_millis: 1.227, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8998, kappa: 0.7984, kb_relative_information_score: 399.3217, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 0.9967, recall: 0.9, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6339, usercpu_time_millis: 1.675, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 1.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.6922, kappa: 0.3822, kb_relative_information_score: 189.9385, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6926, predictive_accuracy: 0.692, prior_entropy: 0.9967, recall: 0.692, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1125, usercpu_time_millis: 0.314, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3718, kb_relative_information_score: 30.8877, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6826, root_relative_squared_error: 1.3685, usercpu_time_millis: 0.355, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8361, kappa: 0.6708, kb_relative_information_score: 334.8961, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9967, recall: 0.836, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8118, usercpu_time_millis: 0.538, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.842, kappa: 0.6826, kb_relative_information_score: 340.936, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9967, recall: 0.842, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7968, usercpu_time_millis: 1.876, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8977, kappa: 0.7943, kb_relative_information_score: 397.3084, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8987, predictive_accuracy: 0.898, prior_entropy: 0.9967, recall: 0.898, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6402, usercpu_time_millis: 14.923, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 13.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.6503, kappa: 0.2965, kb_relative_information_score: 149.6725, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1826, usercpu_time_millis: 0.587, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.8339, kappa: 0.6662, kb_relative_information_score: 332.8828, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8339, predictive_accuracy: 0.834, prior_entropy: 0.9967, recall: 0.834, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8168, usercpu_time_millis: 1.418, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.896, kappa: 0.7909, kb_relative_information_score: 395.2951, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9967, recall: 0.896, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6465, usercpu_time_millis: 2.513, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 2.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.843, kappa: 0.6843, kb_relative_information_score: 298.7512, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7055, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8501, kappa: 0.699, kb_relative_information_score: 263.1882, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8503, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8495, kappa: 0.6972, kb_relative_information_score: 301.2908, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8509, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6979, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 941.6675,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.84, kappa: 0.6785, kb_relative_information_score: 302.7962, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9967, recall: 0.84, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7177, scimark_benchmark: 931.771, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8701, kappa: 0.7393, kb_relative_information_score: 369.1222, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8705, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7228, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8376, kappa: 0.6733, kb_relative_information_score: 290.5299, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.697, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.84, kappa: 0.6785, kb_relative_information_score: 302.7962, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9967, recall: 0.84, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7177, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751, scimark_benchmark: 947.1781, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.843, kappa: 0.6843, kb_relative_information_score: 298.7512, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7055, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8501, kappa: 0.699, kb_relative_information_score: 263.1882, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8503, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 901.6243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8495, kappa: 0.6972, kb_relative_information_score: 301.2908, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8509, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6979, scimark_benchmark: 944.0133, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8701, kappa: 0.7393, kb_relative_information_score: 369.1222, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8705, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7228, scimark_benchmark: 937.5683, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8701, kappa: 0.7393, kb_relative_information_score: 369.1222, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8705, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7228, scimark_benchmark: 919.3788, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8756, kappa: 0.7498, kb_relative_information_score: 321.518, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6101, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7041, kappa: 0.4056, kb_relative_information_score: 117.6731, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7042, predictive_accuracy: 0.704, prior_entropy: 0.9967, recall: 0.704, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8854, scimark_benchmark: 936.3213, usercpu_time_millis: 1200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 302.0414, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6758, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.84, kappa: 0.6785, kb_relative_information_score: 302.7962, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9967, recall: 0.84, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7177, scimark_benchmark: 934.695, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751, scimark_benchmark: 1051.249, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8998, kappa: 0.7985, kb_relative_information_score: 318.4859, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 0.9967, recall: 0.9, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5498, scimark_benchmark: 936.9595, usercpu_time_millis: 2000, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8978, kappa: 0.7944, kb_relative_information_score: 321.5345, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8985, predictive_accuracy: 0.898, prior_entropy: 0.9967, recall: 0.898, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5496, scimark_benchmark: 938.988, usercpu_time_millis: 600, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8999, kappa: 0.7986, kb_relative_information_score: 321.2328, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 0.9967, recall: 0.9, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5517, scimark_benchmark: 939.3535, usercpu_time_millis: 320, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9019, kappa: 0.8028, kb_relative_information_score: 322.9563, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9967, recall: 0.902, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.556, scimark_benchmark: 939.5607, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8998, kappa: 0.7985, kb_relative_information_score: 313.2743, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 0.9967, recall: 0.9, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5775, scimark_benchmark: 936.7184, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8093, kappa: 0.6165, kb_relative_information_score: 270.0283, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8106, predictive_accuracy: 0.81, prior_entropy: 0.9967, recall: 0.81, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.72, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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