OpenML
Supervised Classification on fri_c2_500_5

Supervised Classification on fri_c2_500_5

Task 3657 Supervised Classification fri_c2_500_5 569 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: 0.8711, f_measure: 0.8643, kappa: 0.7161, kb_relative_information_score: 329.3741, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8672, predictive_accuracy: 0.866, prior_entropy: 0.9735, recall: 0.866, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6992, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8795, kappa: 0.7488, kb_relative_information_score: 361.0604, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8797, predictive_accuracy: 0.88, prior_entropy: 0.9735, recall: 0.88, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6788, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8776, kappa: 0.7452, kb_relative_information_score: 341.3634, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8776, predictive_accuracy: 0.878, prior_entropy: 0.9735, recall: 0.878, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6372, scimark_benchmark: 1838.8826, 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: 0.9734, f_measure: 0.9155, kappa: 0.8239, kb_relative_information_score: 369.1959, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9162, predictive_accuracy: 0.916, prior_entropy: 0.9735, recall: 0.916, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5095, scimark_benchmark: 1838.8826, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.852, kappa: 0.6927, kb_relative_information_score: 342.6136, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9735, recall: 0.852, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7823, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8737, kappa: 0.7373, kb_relative_information_score: 365.7486, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8737, predictive_accuracy: 0.874, prior_entropy: 0.9735, recall: 0.874, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7218, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7873, kappa: 0.5623, kb_relative_information_score: 141.7087, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7908, predictive_accuracy: 0.786, prior_entropy: 0.9735, recall: 0.786, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9114, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.8034, kappa: 0.5969, kb_relative_information_score: 156.2198, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.802, prior_entropy: 0.9735, recall: 0.802, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8992, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4451, kb_relative_information_score: -0.0733, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.3552, predictive_accuracy: 0.596, prior_entropy: 0.9735, recall: 0.596, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4907, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9179, kappa: 0.8293, kb_relative_information_score: 413.3905, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9179, predictive_accuracy: 0.918, prior_entropy: 0.9735, recall: 0.918, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.5836, usercpu_time_millis: 361.316, usercpu_time_millis_testing: 4.865, usercpu_time_millis_training: 356.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.844, kappa: 0.6761, kb_relative_information_score: 335.3298, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9735, recall: 0.844, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8049, usercpu_time_millis: 12.117, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 11.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.862, kappa: 0.7111, kb_relative_information_score: 356.4273, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8658, predictive_accuracy: 0.864, prior_entropy: 0.9735, recall: 0.864, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7515, usercpu_time_millis: 82.707, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 82.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8443, kappa: 0.6776, kb_relative_information_score: 335.3298, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8449, predictive_accuracy: 0.844, prior_entropy: 0.9735, recall: 0.844, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8049, usercpu_time_millis: 0.896, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6992, kappa: 0.374, kb_relative_information_score: 183.4278, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6987, predictive_accuracy: 0.7, prior_entropy: 0.9735, recall: 0.7, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1162, usercpu_time_millis: 0.142, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8942, kappa: 0.7808, kb_relative_information_score: 388.0735, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8946, predictive_accuracy: 0.894, prior_entropy: 0.9735, recall: 0.894, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6635, usercpu_time_millis: 0.417, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7886, kappa: 0.5626, kb_relative_information_score: 276.2568, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7896, predictive_accuracy: 0.788, prior_entropy: 0.9735, recall: 0.788, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9383, usercpu_time_millis: 14.128, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 14.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.9073, kappa: 0.8065, kb_relative_information_score: 402.8418, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9086, predictive_accuracy: 0.908, prior_entropy: 0.9735, recall: 0.908, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6181, usercpu_time_millis: 21.592, usercpu_time_millis_testing: 2.997, usercpu_time_millis_training: 18.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7123, kappa: 0.3999, kb_relative_information_score: 198.1961, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7116, predictive_accuracy: 0.714, prior_entropy: 0.9735, recall: 0.714, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.0899, usercpu_time_millis: 0.277, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.887, kappa: 0.764, kb_relative_information_score: 381.7443, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.9735, recall: 0.888, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.682, usercpu_time_millis: 0.162, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7014, kappa: 0.3787, kb_relative_information_score: 185.5376, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7009, predictive_accuracy: 0.702, prior_entropy: 0.9735, recall: 0.702, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1125, usercpu_time_millis: 0.149, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.833, kappa: 0.6517, kb_relative_information_score: 324.781, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8332, predictive_accuracy: 0.834, prior_entropy: 0.9735, recall: 0.834, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8303, usercpu_time_millis: 3.842, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 3.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9052, kappa: 0.8021, kb_relative_information_score: 400.732, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9067, predictive_accuracy: 0.906, prior_entropy: 0.9735, recall: 0.906, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6248, usercpu_time_millis: 2.788, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.9073, kappa: 0.8065, kb_relative_information_score: 402.8418, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9086, predictive_accuracy: 0.908, prior_entropy: 0.9735, recall: 0.908, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6181, usercpu_time_millis: 4.023, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 3.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.694, kappa: 0.3616, kb_relative_information_score: 179.2083, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6932, predictive_accuracy: 0.696, prior_entropy: 0.9735, recall: 0.696, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1236, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6984, kappa: 0.371, kb_relative_information_score: 183.4278, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6976, predictive_accuracy: 0.7, prior_entropy: 0.9735, recall: 0.7, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1162, usercpu_time_millis: 0.575, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6965, kappa: 0.3673, kb_relative_information_score: 181.3181, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6957, predictive_accuracy: 0.698, prior_entropy: 0.9735, recall: 0.698, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1199, usercpu_time_millis: 0.115, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.703, kappa: 0.3856, kb_relative_information_score: 185.5376, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7044, predictive_accuracy: 0.702, prior_entropy: 0.9735, recall: 0.702, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1125, usercpu_time_millis: 0.147, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.8074, kappa: 0.605, kb_relative_information_score: 295.2445, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8128, predictive_accuracy: 0.806, prior_entropy: 0.9735, recall: 0.806, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8976, usercpu_time_millis: 13.388, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 13.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.442, f_measure: 0.4183, kappa: -0.133, kb_relative_information_score: -2.2302, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.3659, predictive_accuracy: 0.524, prior_entropy: 0.9735, recall: 0.524, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.6899, root_relative_squared_error: 1.406, usercpu_time_millis: 1.269, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8618, kappa: 0.7127, kb_relative_information_score: 354.3175, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8617, predictive_accuracy: 0.862, prior_entropy: 0.9735, recall: 0.862, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7571, usercpu_time_millis: 1.437, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.918, kappa: 0.8299, kb_relative_information_score: 413.3905, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9181, predictive_accuracy: 0.918, prior_entropy: 0.9735, recall: 0.918, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.5836, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8225, kappa: 0.6292, kb_relative_information_score: 314.2323, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8232, predictive_accuracy: 0.824, prior_entropy: 0.9735, recall: 0.824, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.855, usercpu_time_millis: 1.087, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, f_measure: 0.4697, kappa: 0.0171, kb_relative_information_score: 75.8306, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.5749, predictive_accuracy: 0.598, prior_entropy: 0.9735, recall: 0.598, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.634, root_relative_squared_error: 1.2921, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.8034, kappa: 0.5969, kb_relative_information_score: 291.025, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.802, prior_entropy: 0.9735, recall: 0.802, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9068, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 0.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6965, kappa: 0.3673, kb_relative_information_score: 181.3181, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6957, predictive_accuracy: 0.698, prior_entropy: 0.9735, recall: 0.698, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1199, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9279, kappa: 0.85, kb_relative_information_score: 423.9393, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9279, predictive_accuracy: 0.928, prior_entropy: 0.9735, recall: 0.928, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5468, usercpu_time_millis: 9.52, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 8.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6965, kappa: 0.3673, kb_relative_information_score: 181.3181, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6957, predictive_accuracy: 0.698, prior_entropy: 0.9735, recall: 0.698, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1199, usercpu_time_millis: 0.519, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.694, kappa: 0.3616, kb_relative_information_score: 179.2083, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6932, predictive_accuracy: 0.696, prior_entropy: 0.9735, recall: 0.696, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1236, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.8329, kappa: 0.6555, kb_relative_information_score: 322.6713, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8355, predictive_accuracy: 0.832, prior_entropy: 0.9735, recall: 0.832, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8353, usercpu_time_millis: 1.153, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8941, kappa: 0.7804, kb_relative_information_score: 388.0735, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8943, predictive_accuracy: 0.894, prior_entropy: 0.9735, recall: 0.894, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6635, usercpu_time_millis: 0.41, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6992, kappa: 0.374, kb_relative_information_score: 183.4278, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6987, predictive_accuracy: 0.7, prior_entropy: 0.9735, recall: 0.7, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1162, usercpu_time_millis: 0.151, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6984, kappa: 0.371, kb_relative_information_score: 183.4278, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6976, predictive_accuracy: 0.7, prior_entropy: 0.9735, recall: 0.7, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1162, usercpu_time_millis: 0.047, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.6962, kappa: 0.3663, kb_relative_information_score: 181.3181, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6954, predictive_accuracy: 0.698, prior_entropy: 0.9735, recall: 0.698, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1199, usercpu_time_millis: 0.047, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9022, kappa: 0.7973, kb_relative_information_score: 396.5125, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9026, predictive_accuracy: 0.902, prior_entropy: 0.9735, recall: 0.902, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.638, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9176, kappa: 0.8282, kb_relative_information_score: 413.3905, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9181, predictive_accuracy: 0.918, prior_entropy: 0.9735, recall: 0.918, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.5836, usercpu_time_millis: 93.162, usercpu_time_millis_testing: 6.865, usercpu_time_millis_training: 86.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8771, kappa: 0.7436, kb_relative_information_score: 371.1955, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9735, recall: 0.878, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7118, usercpu_time_millis: 2.56, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 1.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6992, kappa: 0.374, kb_relative_information_score: 183.4278, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6987, predictive_accuracy: 0.7, prior_entropy: 0.9735, recall: 0.7, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1162, usercpu_time_millis: 0.532, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8795, kappa: 0.7488, kb_relative_information_score: 373.3053, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8797, predictive_accuracy: 0.88, prior_entropy: 0.9735, recall: 0.88, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.706, usercpu_time_millis: 2.622, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 1.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8737, kappa: 0.7373, kb_relative_information_score: 366.976, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8737, predictive_accuracy: 0.874, prior_entropy: 0.9735, recall: 0.874, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7234, usercpu_time_millis: 2.286, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 1.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6977, kappa: 0.369, kb_relative_information_score: 183.4278, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6969, predictive_accuracy: 0.7, prior_entropy: 0.9735, recall: 0.7, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1162, usercpu_time_millis: 0.447, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7126, kappa: 0.4009, kb_relative_information_score: 198.1961, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7119, predictive_accuracy: 0.714, prior_entropy: 0.9735, recall: 0.714, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.0899, usercpu_time_millis: 1.296, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4451, kb_relative_information_score: 73.7208, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.3552, predictive_accuracy: 0.596, prior_entropy: 0.9735, recall: 0.596, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2953, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8872, kappa: 0.7644, kb_relative_information_score: 381.7443, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8882, predictive_accuracy: 0.888, prior_entropy: 0.9735, recall: 0.888, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.682, usercpu_time_millis: 22.063, usercpu_time_millis_testing: 2.798, usercpu_time_millis_training: 19.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8837, kappa: 0.758, kb_relative_information_score: 377.5248, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8837, predictive_accuracy: 0.884, prior_entropy: 0.9735, recall: 0.884, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6941, usercpu_time_millis: 0.534, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.9256, kappa: 0.845, kb_relative_information_score: 421.8295, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9262, predictive_accuracy: 0.926, prior_entropy: 0.9735, recall: 0.926, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5544, usercpu_time_millis: 1.515, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 1.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.6887, kappa: 0.3552, kb_relative_information_score: 170.7693, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6896, predictive_accuracy: 0.688, prior_entropy: 0.9735, recall: 0.688, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1383, usercpu_time_millis: 0.297, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.887, kappa: 0.764, kb_relative_information_score: 381.7443, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.9735, recall: 0.888, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.682, usercpu_time_millis: 2.082, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6965, kappa: 0.3673, kb_relative_information_score: 181.3181, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6957, predictive_accuracy: 0.698, prior_entropy: 0.9735, recall: 0.698, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1199, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8562, kappa: 0.7019, kb_relative_information_score: 347.9883, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8566, predictive_accuracy: 0.856, prior_entropy: 0.9735, recall: 0.856, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7733, usercpu_time_millis: 1.028, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.9256, kappa: 0.845, kb_relative_information_score: 421.8295, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9262, predictive_accuracy: 0.926, prior_entropy: 0.9735, recall: 0.926, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5544, usercpu_time_millis: 16.992, usercpu_time_millis_testing: 1.943, usercpu_time_millis_training: 15.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.9299, kappa: 0.8543, kb_relative_information_score: 426.049, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9299, predictive_accuracy: 0.93, prior_entropy: 0.9735, recall: 0.93, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5392, usercpu_time_millis: 2.603, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 2.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.833, kappa: 0.6517, kb_relative_information_score: 291.1216, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8332, predictive_accuracy: 0.834, prior_entropy: 0.9735, recall: 0.834, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7245, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.853, kappa: 0.6932, kb_relative_information_score: 294.7289, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8536, predictive_accuracy: 0.854, prior_entropy: 0.9735, recall: 0.854, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6483, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8653, kappa: 0.7193, kb_relative_information_score: 320.4072, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8656, predictive_accuracy: 0.866, prior_entropy: 0.9735, recall: 0.866, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6529, scimark_benchmark: 851.2074, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8353, kappa: 0.6567, kb_relative_information_score: 296.7638, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8352, predictive_accuracy: 0.836, prior_entropy: 0.9735, recall: 0.836, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7123, scimark_benchmark: 941.6675,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8952, kappa: 0.7812, kb_relative_information_score: 347.2363, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8964, predictive_accuracy: 0.896, prior_entropy: 0.9735, recall: 0.896, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5647, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7423, kappa: 0.4655, kb_relative_information_score: 147.4723, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7427, predictive_accuracy: 0.742, prior_entropy: 0.9735, recall: 0.742, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8405, scimark_benchmark: 942.2392,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8922, kappa: 0.7764, kb_relative_information_score: 385.9638, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9735, recall: 0.892, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6697, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8922, kappa: 0.7764, kb_relative_information_score: 385.9638, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9735, recall: 0.892, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6697, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8353, kappa: 0.6567, kb_relative_information_score: 296.7638, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8352, predictive_accuracy: 0.836, prior_entropy: 0.9735, recall: 0.836, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7123, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8696, kappa: 0.7285, kb_relative_information_score: 333.3607, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8696, predictive_accuracy: 0.87, prior_entropy: 0.9735, recall: 0.87, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6539, scimark_benchmark: 936.3373, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9155, kappa: 0.8239, kb_relative_information_score: 369.1959, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9162, predictive_accuracy: 0.916, prior_entropy: 0.9735, recall: 0.916, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5095, scimark_benchmark: 974.2014, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.833, kappa: 0.6517, kb_relative_information_score: 291.1216, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8332, predictive_accuracy: 0.834, prior_entropy: 0.9735, recall: 0.834, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7245, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.853, kappa: 0.6932, kb_relative_information_score: 294.7289, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8536, predictive_accuracy: 0.854, prior_entropy: 0.9735, recall: 0.854, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6483, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8653, kappa: 0.7193, kb_relative_information_score: 320.4072, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8656, predictive_accuracy: 0.866, prior_entropy: 0.9735, recall: 0.866, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6529, scimark_benchmark: 944.0133, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8922, kappa: 0.7764, kb_relative_information_score: 385.9638, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9735, recall: 0.892, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6697, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8353, kappa: 0.6567, kb_relative_information_score: 296.7638, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8352, predictive_accuracy: 0.836, prior_entropy: 0.9735, recall: 0.836, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7123, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8353, kappa: 0.6567, kb_relative_information_score: 296.7638, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8352, predictive_accuracy: 0.836, prior_entropy: 0.9735, recall: 0.836, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7123, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8952, kappa: 0.7812, kb_relative_information_score: 347.2363, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8964, predictive_accuracy: 0.896, prior_entropy: 0.9735, recall: 0.896, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5647, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8353, kappa: 0.6567, kb_relative_information_score: 296.7638, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8352, predictive_accuracy: 0.836, prior_entropy: 0.9735, recall: 0.836, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7123, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8696, kappa: 0.7285, kb_relative_information_score: 333.3607, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8696, predictive_accuracy: 0.87, prior_entropy: 0.9735, recall: 0.87, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6539, scimark_benchmark: 934.695, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9155, kappa: 0.8239, kb_relative_information_score: 369.1959, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9162, predictive_accuracy: 0.916, prior_entropy: 0.9735, recall: 0.916, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5095, scimark_benchmark: 936.3213, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9279, kappa: 0.85, kb_relative_information_score: 352.3601, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9279, predictive_accuracy: 0.928, prior_entropy: 0.9735, recall: 0.928, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4901, scimark_benchmark: 906.0979, usercpu_time_millis: 1340, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.934, kappa: 0.8628, kb_relative_information_score: 348.4284, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 0.9735, recall: 0.934, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4952, scimark_benchmark: 939.8002, usercpu_time_millis: 650, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9379, kappa: 0.8709, kb_relative_information_score: 353.9412, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9379, predictive_accuracy: 0.938, prior_entropy: 0.9735, recall: 0.938, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.4925, scimark_benchmark: 921.2615, usercpu_time_millis: 320, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9397, kappa: 0.8744, kb_relative_information_score: 361.8828, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 0.9735, recall: 0.94, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4743, scimark_benchmark: 924.2305, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9194, kappa: 0.8317, kb_relative_information_score: 353.7725, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9208, predictive_accuracy: 0.92, prior_entropy: 0.9735, recall: 0.92, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.4963, scimark_benchmark: 889.4922, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8591, kappa: 0.706, kb_relative_information_score: 300.2772, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8596, predictive_accuracy: 0.86, prior_entropy: 0.9735, recall: 0.86, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6621, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8591, kappa: 0.706, kb_relative_information_score: 300.2772, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8596, predictive_accuracy: 0.86, prior_entropy: 0.9735, recall: 0.86, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6621, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8591, kappa: 0.706, kb_relative_information_score: 300.2772, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8596, predictive_accuracy: 0.86, prior_entropy: 0.9735, recall: 0.86, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6621, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8591, kappa: 0.706, kb_relative_information_score: 300.2772, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8596, predictive_accuracy: 0.86, prior_entropy: 0.9735, recall: 0.86, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6621, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.861, kappa: 0.71, kb_relative_information_score: 296.2977, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8617, predictive_accuracy: 0.862, prior_entropy: 0.9735, recall: 0.862, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.664, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4451, kb_relative_information_score: -0.0733, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.3552, predictive_accuracy: 0.596, prior_entropy: 0.9735, recall: 0.596, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4907, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8992, kappa: 0.7897, kb_relative_information_score: 388.7013, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 0.9735, recall: 0.9, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.609, scimark_benchmark: 926.5859, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8792, kappa: 0.748, kb_relative_information_score: 368.532, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9735, recall: 0.88, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6662, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8551, kappa: 0.6976, kb_relative_information_score: 343.0174, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9735, recall: 0.856, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.726, scimark_benchmark: 940.0055, usercpu_time_millis: 70, usercpu_time_millis_training: 70,

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