Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

112802 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.8193, kappa: 0.1316, kb_relative_information_score: -89.5398, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8141, predictive_accuracy: 0.8251, prior_entropy: 0.5368, recall: 0.8251, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.2752, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.87, kappa: 0.3736, kb_relative_information_score: 298.2671, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8664, predictive_accuracy: 0.8745, prior_entropy: 0.5368, recall: 0.8745, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3454, root_relative_squared_error: 1.0552, scimark_benchmark: 1230.3004, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8208, kb_relative_information_score: -237.2517, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.8924, scimark_benchmark: 479.2609, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8208, kb_relative_information_score: -2.6663, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 473.1656, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.8928, kappa: 0.4955, kb_relative_information_score: 484.2565, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8919, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9032, scimark_benchmark: 473.1656, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9049, kappa: 0.5233, kb_relative_information_score: 395.1834, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7796, scimark_benchmark: 1254.1389, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.8771, kappa: 0.4296, kb_relative_information_score: 382.6604, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8777, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3491, root_relative_squared_error: 1.0663, scimark_benchmark: 473.1656, usercpu_time_millis: 1120, usercpu_time_millis_testing: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.87, kappa: 0.3736, kb_relative_information_score: 298.2671, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8664, predictive_accuracy: 0.8745, prior_entropy: 0.5368, recall: 0.8745, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3454, root_relative_squared_error: 1.0552, scimark_benchmark: 1228.9003, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8975, kappa: 0.5028, kb_relative_information_score: 432.4173, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8949, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.8559, scimark_benchmark: 1229.3125, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.8771, kappa: 0.4296, kb_relative_information_score: 382.6604, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8777, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3491, root_relative_squared_error: 1.0663, scimark_benchmark: 1219.2947, usercpu_time_millis: 350, usercpu_time_millis_testing: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9041, kappa: 0.5271, kb_relative_information_score: 596.4672, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.902, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8357, scimark_benchmark: 1247.337, usercpu_time_millis: 1300, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8922, kappa: 0.481, kb_relative_information_score: 360.275, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8896, predictive_accuracy: 0.8957, prior_entropy: 0.5368, recall: 0.8957, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.8802, scimark_benchmark: 477.7745, usercpu_time_millis: 32730, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 32650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8958, kappa: 0.4652, kb_relative_information_score: 273.0729, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8973, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7976, scimark_benchmark: 1242.2042, usercpu_time_millis: 3940, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: 387.3817, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673, usercpu_time_millis: 13.423, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 13.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.9082, kappa: 0.5488, kb_relative_information_score: 698.9803, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9063, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8979, usercpu_time_millis: 47.15, usercpu_time_millis_testing: 4.052, usercpu_time_millis_training: 43.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.819, kappa: 0.0268, kb_relative_information_score: 195.6287, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7945, predictive_accuracy: 0.856, prior_entropy: 0.5368, recall: 0.856, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3795, root_relative_squared_error: 1.1592, usercpu_time_millis: 4.774, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 4.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.904, kappa: 0.5182, kb_relative_information_score: 686.9957, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9031, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.905, usercpu_time_millis: 2.597, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 2.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.8812, kappa: 0.3666, kb_relative_information_score: 609.0961, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8957, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.311, root_relative_squared_error: 0.9499, usercpu_time_millis: 6.895, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 6.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.8647, kappa: 0.2647, kb_relative_information_score: 543.181, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8905, predictive_accuracy: 0.8957, prior_entropy: 0.5368, recall: 0.8957, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.9862, usercpu_time_millis: 66.286, usercpu_time_millis_testing: 13.012, usercpu_time_millis_training: 53.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.9081, kappa: 0.5538, kb_relative_information_score: 686.9957, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.905, usercpu_time_millis: 312.174, usercpu_time_millis_testing: 8.2, usercpu_time_millis_training: 303.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.8823, kappa: 0.3769, kb_relative_information_score: 603.1038, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8922, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.9533, usercpu_time_millis: 1.987, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: 387.3817, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673, usercpu_time_millis: 0.887, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.8908, kappa: 0.4284, kb_relative_information_score: 645.0498, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.898, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9295, usercpu_time_millis: 5.647, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 5.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: 387.3817, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673, usercpu_time_millis: 1.736, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 1.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.8658, kappa: 0.2762, kb_relative_information_score: 531.1964, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8819, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9927, usercpu_time_millis: 3.111, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.88, kappa: 0.3578, kb_relative_information_score: 609.0961, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8974, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.311, root_relative_squared_error: 0.9499, usercpu_time_millis: 7.652, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 7.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.8918, kappa: 0.4425, kb_relative_information_score: 627.0729, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8935, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.9397, usercpu_time_millis: 8.237, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 7.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.8771, kappa: 0.4296, kb_relative_information_score: 375.3971, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8777, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3514, root_relative_squared_error: 1.0732, usercpu_time_millis: 4.407, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 3.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.8928, kappa: 0.4955, kb_relative_information_score: 525.2041, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8919, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9959, usercpu_time_millis: 2.945, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 2.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.8737, kappa: 0.3864, kb_relative_information_score: 399.3662, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8697, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3474, root_relative_squared_error: 1.0613, usercpu_time_millis: 3.763, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 3.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.8928, kappa: 0.4757, kb_relative_information_score: 567.1501, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8897, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9732, usercpu_time_millis: 1.282, usercpu_time_millis_testing: 1.244, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.8889, kappa: 0.412, kb_relative_information_score: 651.042, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9021, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.926, usercpu_time_millis: 2.819, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 2.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.894, kappa: 0.453, kb_relative_information_score: 645.0498, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8965, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9295, usercpu_time_millis: 0.995, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.8991, kappa: 0.4849, kb_relative_information_score: 669.0189, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9001, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9156, usercpu_time_millis: 0.312, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.8344, kappa: 0.0909, kb_relative_information_score: 381.3894, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8348, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3504, root_relative_squared_error: 1.0703, usercpu_time_millis: 0.317, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.904, kappa: 0.5182, kb_relative_information_score: 686.9957, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9031, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.905, usercpu_time_millis: 2.716, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 2.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.8882, kappa: 0.4139, kb_relative_information_score: 627.0729, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8949, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.9397, usercpu_time_millis: 8.411, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 8.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: 387.3817, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673, usercpu_time_millis: 65.233, usercpu_time_millis_testing: 5.315, usercpu_time_millis_training: 59.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.9067, kappa: 0.5335, kb_relative_information_score: 704.9726, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944, usercpu_time_millis: 1.709, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.8672, kappa: 0.3661, kb_relative_information_score: 321.4666, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8644, predictive_accuracy: 0.8704, prior_entropy: 0.5368, recall: 0.8704, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.36, root_relative_squared_error: 1.0998, usercpu_time_millis: 2.847, usercpu_time_millis_testing: 2.328, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: 387.3817, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673, usercpu_time_millis: 7.432, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 7.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.8344, kappa: 0.0909, kb_relative_information_score: 381.3894, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8348, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3504, root_relative_squared_error: 1.0703, usercpu_time_millis: 3.034, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 2.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.7615, kappa: 0.0126, kb_relative_information_score: -829.0514, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7885, predictive_accuracy: 0.7387, prior_entropy: 0.5368, recall: 0.7387, relative_absolute_error: 1.2168, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.5614, usercpu_time_millis: 0.573, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.8648, kappa: 0.272, kb_relative_information_score: 519.2119, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8779, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.9991, usercpu_time_millis: 57.234, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 57.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.8719, kappa: 0.3244, kb_relative_information_score: 519.2119, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8747, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.9991, usercpu_time_millis: 2.073, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.8217, kappa: 0.1681, kb_relative_information_score: -103.9854, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8217, predictive_accuracy: 0.8217, prior_entropy: 0.5368, recall: 0.8217, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.2899, usercpu_time_millis: 3.185, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 3.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.8912, kappa: 0.4729, kb_relative_information_score: 543.181, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8883, predictive_accuracy: 0.8957, prior_entropy: 0.5368, recall: 0.8957, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.9862, usercpu_time_millis: 3.216, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 2.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.9029, kappa: 0.5065, kb_relative_information_score: 692.988, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9037, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9015, usercpu_time_millis: 148.63, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 148.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.8254, kappa: 0.0278, kb_relative_information_score: 399.3662, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8638, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3474, root_relative_squared_error: 1.0613, usercpu_time_millis: 1.389, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.8985, kappa: 0.4825, kb_relative_information_score: 663.0266, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8992, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9191, usercpu_time_millis: 2.98, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 2.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.895, kappa: 0.4524, kb_relative_information_score: 669.0189, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9017, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9156, usercpu_time_millis: 18.798, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 18.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.8918, kappa: 0.4357, kb_relative_information_score: 645.0498, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8974, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9295, usercpu_time_millis: 65.594, usercpu_time_millis_testing: 7.988, usercpu_time_millis_training: 57.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.8934, kappa: 0.444, kb_relative_information_score: 657.0343, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8996, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9225, usercpu_time_millis: 7.836, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 7.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, f_measure: 0.8378, kappa: 0.104, kb_relative_information_score: 429.3276, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.863, predictive_accuracy: 0.8827, prior_entropy: 0.5368, recall: 0.8827, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.0461, usercpu_time_millis: 27.621, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 27.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.8894, kappa: 0.4173, kb_relative_information_score: 645.0498, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8993, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9295, usercpu_time_millis: 23.039, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 22.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.8896, kappa: 0.4701, kb_relative_information_score: 519.2119, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.9991, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: 387.3817, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673, usercpu_time_millis: 1.015, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.8369, kappa: 0.2567, kb_relative_information_score: -2.1166, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8408, predictive_accuracy: 0.8333, prior_entropy: 0.5368, recall: 0.8333, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.247, usercpu_time_millis: 1.858, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 1.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.8896, kappa: 0.4667, kb_relative_information_score: 525.2041, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8867, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9959, usercpu_time_millis: 5.723, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 5.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.8823, kappa: 0.3713, kb_relative_information_score: 621.0806, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8993, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.9431, usercpu_time_millis: 3.794, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 3.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.875, kappa: 0.3947, kb_relative_information_score: 405.3585, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8712, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3465, root_relative_squared_error: 1.0582, usercpu_time_millis: 1.78, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.831, kappa: 0.0882, kb_relative_information_score: 291.5052, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8164, predictive_accuracy: 0.8669, prior_entropy: 0.5368, recall: 0.8669, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3648, root_relative_squared_error: 1.1142, usercpu_time_millis: 4.624, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 4.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8208, kb_relative_information_score: -2.6663, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.87, kappa: 0.3736, kb_relative_information_score: 298.2671, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8664, predictive_accuracy: 0.8745, prior_entropy: 0.5368, recall: 0.8745, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3454, root_relative_squared_error: 1.0552, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8718, kappa: 0.3615, kb_relative_information_score: 173.9037, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8665, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.317, root_relative_squared_error: 0.9684, scimark_benchmark: 1877.5305, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.8771, kappa: 0.4296, kb_relative_information_score: 382.6604, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8777, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3491, root_relative_squared_error: 1.0663, scimark_benchmark: 1806.5905, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 187.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8704, kappa: 0.3926, kb_relative_information_score: 343.8893, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.5368, recall: 0.8711, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.0726, scimark_benchmark: 1806.5905, usercpu_time_millis: 140.4009, usercpu_time_millis_testing: 124.8008, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8904, kappa: 0.4333, kb_relative_information_score: 365.7418, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8926, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7555, scimark_benchmark: 1806.5905, usercpu_time_millis: 312.002, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8887, kappa: 0.4618, kb_relative_information_score: 321.475, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8857, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.272, root_relative_squared_error: 0.831, scimark_benchmark: 1806.5905, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 156.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.8928, kappa: 0.4955, kb_relative_information_score: 484.2565, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8919, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9032, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.873, kappa: 0.3416, kb_relative_information_score: 109.0069, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8711, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8862, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8718, kappa: 0.3615, kb_relative_information_score: 173.9037, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8665, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.317, root_relative_squared_error: 0.9684, scimark_benchmark: 1887.4343, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.87, kappa: 0.3736, kb_relative_information_score: 298.2671, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8664, predictive_accuracy: 0.8745, prior_entropy: 0.5368, recall: 0.8745, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3454, root_relative_squared_error: 1.0552, scimark_benchmark: 1732.2066, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8718, kappa: 0.3615, kb_relative_information_score: 173.9037, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8665, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.317, root_relative_squared_error: 0.9684, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8208, kb_relative_information_score: -2.6663, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.8561, kappa: 0.297, kb_relative_information_score: 51.1722, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8505, predictive_accuracy: 0.8635, prior_entropy: 0.5368, recall: 0.8635, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3452, root_relative_squared_error: 1.0545, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8807, kappa: 0.4116, kb_relative_information_score: 310.3671, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8765, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.8671, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8671, kappa: 0.3059, kb_relative_information_score: 93.1201, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.865, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.871, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.8862, kappa: 0.3952, kb_relative_information_score: 639.0575, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9011, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.9329, scimark_benchmark: 1870.7932, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.8455, kappa: 0.1489, kb_relative_information_score: 465.2813, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8784, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3364, root_relative_squared_error: 1.0276, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8708, kappa: 0.3414, kb_relative_information_score: 4.8523, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.866, predictive_accuracy: 0.8848, prior_entropy: 0.5368, recall: 0.8848, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.8874, scimark_benchmark: 1873.1108, usercpu_time_millis: 406.25, usercpu_time_millis_testing: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.8782, kappa: 0.3853, kb_relative_information_score: 131.2695, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.874, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8864, scimark_benchmark: 1873.1108, usercpu_time_millis: 125, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8482, kappa: 0.1734, kb_relative_information_score: -42.667, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8584, predictive_accuracy: 0.8841, prior_entropy: 0.5368, recall: 0.8841, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.8872, scimark_benchmark: 1873.1108, usercpu_time_millis: 500, usercpu_time_millis_testing: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8669, kappa: 0.2958, kb_relative_information_score: 222.7702, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8686, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.9437, scimark_benchmark: 1840.6094, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8556, kappa: 0.2409, kb_relative_information_score: 191.3645, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8504, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9733, scimark_benchmark: 1840.6094, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.873, kappa: 0.3331, kb_relative_information_score: 80.5331, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8746, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.8624, scimark_benchmark: 1447.2612, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.8778, kappa: 0.4139, kb_relative_information_score: 271.7261, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8749, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.936, scimark_benchmark: 844.3039, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.8515, kappa: 0.1843, kb_relative_information_score: 495.2427, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8886, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3313, root_relative_squared_error: 1.0119, scimark_benchmark: 1113.7355, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.8302, kappa: 0.0561, kb_relative_information_score: 417.3431, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8785, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3445, root_relative_squared_error: 1.0522, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.8648, kappa: 0.2788, kb_relative_information_score: 122.2506, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8701, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.8975, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.8788, kappa: 0.3723, kb_relative_information_score: 171.3601, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8784, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.8957, scimark_benchmark: 1788.6668, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.8714, kappa: 0.3375, kb_relative_information_score: 203.8183, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8679, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.94, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8757, kappa: 0.354, kb_relative_information_score: 211.6782, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8751, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8308, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8924, kappa: 0.4562, kb_relative_information_score: 412.7149, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8906, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7882, scimark_benchmark: 1788.6668, usercpu_time_millis: 546.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8924, kappa: 0.4562, kb_relative_information_score: 412.7149, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8906, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7882, scimark_benchmark: 1834.908, usercpu_time_millis: 546.875, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8883, kappa: 0.4734, kb_relative_information_score: 240.1396, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8872, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.887, scimark_benchmark: 1834.908, usercpu_time_millis: 796.875, usercpu_time_millis_training: 796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.8778, kappa: 0.4139, kb_relative_information_score: 271.7261, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8749, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.936, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.8925, kappa: 0.496, kb_relative_information_score: 485.929, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.892, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.296, root_relative_squared_error: 0.904, scimark_benchmark: 1892.0925, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8208, kb_relative_information_score: -2.6663, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1, scimark_benchmark: 1892.0925, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8918, kappa: 0.4357, kb_relative_information_score: 367.9135, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8974, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.7542, scimark_benchmark: 1892.0925, usercpu_time_millis: 437.5, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 359.375,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs