Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

111519 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: 0.9979, f_measure: 0.9532, kappa: 0.8953, kb_relative_information_score: 689.639, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9571, predictive_accuracy: 0.9541, prior_entropy: 0.9312, recall: 0.9541, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4452, scimark_benchmark: 1853.9121, usercpu_time_millis: 5.845, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 5.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.5165, kb_relative_information_score: 1.2394, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9833, kappa: 0.963, kb_relative_information_score: 853.3756, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.2783, scimark_benchmark: 1872.0299, usercpu_time_millis: 6.586, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 5.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 581.2646, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5198, scimark_benchmark: 1872.4881, usercpu_time_millis: 5.148, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 4.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.54, kappa: 0.039, kb_relative_information_score: 80.9862, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.778, predictive_accuracy: 0.6639, prior_entropy: 0.9312, recall: 0.6639, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9409, scimark_benchmark: 1873.5991, usercpu_time_millis: 1.856, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 1.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8261, kappa: 0.6067, kb_relative_information_score: 327.7309, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8608, predictive_accuracy: 0.8392, prior_entropy: 0.9312, recall: 0.8392, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7524, scimark_benchmark: 1867.2698, usercpu_time_millis: 5.599, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 4.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 724.7309, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3778, scimark_benchmark: 1853.3841, usercpu_time_millis: 2.745, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 2.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7848, kappa: 0.5155, kb_relative_information_score: 297.7459, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8522, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7966, scimark_benchmark: 1846.6923, usercpu_time_millis: 3.327, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 2.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8354, kappa: 0.6276, kb_relative_information_score: 378.3058, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8771, predictive_accuracy: 0.8486, prior_entropy: 0.9312, recall: 0.8486, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7224, scimark_benchmark: 1865.8853, usercpu_time_millis: 0.834, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9081, kappa: 0.7931, kb_relative_information_score: 405.21, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9187, predictive_accuracy: 0.9113, prior_entropy: 0.9312, recall: 0.9113, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6852, scimark_benchmark: 1865.0946, usercpu_time_millis: 1.849, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9158, kappa: 0.8106, kb_relative_information_score: 409.1441, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9258, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6792, scimark_benchmark: 1855.0232, usercpu_time_millis: 4.502, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 3.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9737, kappa: 0.9415, kb_relative_information_score: 491.6358, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9745, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.6022, scimark_benchmark: 1858.1494, usercpu_time_millis: 4.363, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 3.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9874, kappa: 0.9722, kb_relative_information_score: 842.1753, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.2811, scimark_benchmark: 1862.5409, usercpu_time_millis: 4.936, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 4.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9811, kappa: 0.958, kb_relative_information_score: 625.3855, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9817, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5028, scimark_benchmark: 1849.1812, usercpu_time_millis: 6.063, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 5.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9543, kappa: 0.8978, kb_relative_information_score: 676.8975, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.958, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4449, scimark_benchmark: 1874.0573, usercpu_time_millis: 4.936, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 4.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9478, kappa: 0.883, kb_relative_information_score: 651.2162, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9526, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4682, scimark_benchmark: 1872.4881, usercpu_time_millis: 8.418, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 7.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7487, kappa: 0.4315, kb_relative_information_score: 244.6577, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7664, predictive_accuracy: 0.7662, prior_entropy: 0.9312, recall: 0.7662, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8182, scimark_benchmark: 1949.5091, usercpu_time_millis: 0.568, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7276, kappa: 0.3837, kb_relative_information_score: 202.8747, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7417, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.852, scimark_benchmark: 1833.5014, usercpu_time_millis: 0.525, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.5165, kb_relative_information_score: 0.0651, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1818.4874, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5165, kb_relative_information_score: 39.8637, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9677, scimark_benchmark: 1817.8924, usercpu_time_millis: 2.107, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.699, kappa: 0.319, kb_relative_information_score: 159.6134, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7067, predictive_accuracy: 0.7182, prior_entropy: 0.9312, recall: 0.7182, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8854, scimark_benchmark: 1852.4759, usercpu_time_millis: 3.174, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 2.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 822.7885, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.2937, scimark_benchmark: 1833.639, usercpu_time_millis: 7.262, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 6.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9694, kappa: 0.9318, kb_relative_information_score: 724.3347, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9711, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3977, scimark_benchmark: 1863.2116, usercpu_time_millis: 8.39, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 7.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.896, kappa: 0.7664, kb_relative_information_score: 577.5831, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9018, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5837, scimark_benchmark: 1871.2001, usercpu_time_millis: 5.895, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 5.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9759, kappa: 0.9466, kb_relative_information_score: 769.8469, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3843, scimark_benchmark: 1868.2531, usercpu_time_millis: 7.921, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 6.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5165, kb_relative_information_score: -0.7124, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.68, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.5308, kappa: 0.0235, kb_relative_information_score: 82.9464, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7762, predictive_accuracy: 0.6597, prior_entropy: 0.9312, recall: 0.6597, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9388, scimark_benchmark: 1861.6424, usercpu_time_millis: 1.09, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.5189, kappa: 0.0039, kb_relative_information_score: 78.4142, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.774, predictive_accuracy: 0.6545, prior_entropy: 0.9312, recall: 0.6545, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9447, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.645, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7684, kappa: 0.4762, kb_relative_information_score: 311.0089, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7844, predictive_accuracy: 0.7829, prior_entropy: 0.9312, recall: 0.7829, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.773, scimark_benchmark: 1871.9601, usercpu_time_millis: 2.238, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 1.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 719.8412, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3846, scimark_benchmark: 1872.0299, usercpu_time_millis: 3.643, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9769, kappa: 0.9486, kb_relative_information_score: 518.8138, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9776, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5872, scimark_benchmark: 1854.5692, usercpu_time_millis: 4.134, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 3.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9437, kappa: 0.8742, kb_relative_information_score: 452.5235, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9468, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6434, scimark_benchmark: 1872.4881, usercpu_time_millis: 4.615, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 3.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9672, kappa: 0.927, kb_relative_information_score: 701.5091, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9692, predictive_accuracy: 0.9676, prior_entropy: 0.9312, recall: 0.9676, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4179, scimark_benchmark: 1874.977, usercpu_time_millis: 11.316, usercpu_time_millis_testing: 1.623, usercpu_time_millis_training: 9.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 767.5778, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3378, scimark_benchmark: 1832.5979, usercpu_time_millis: 10.647, usercpu_time_millis_testing: 1.501, usercpu_time_millis_training: 9.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.5286, kappa: 0.0151, kb_relative_information_score: 76.3254, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6367, predictive_accuracy: 0.6555, prior_entropy: 0.9312, recall: 0.6555, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9473, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.775, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 656.8968, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4419, scimark_benchmark: 1860.5685, usercpu_time_millis: 2.075, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9064, kappa: 0.789, kb_relative_information_score: 576.4177, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9211, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5438, scimark_benchmark: 1828.686, usercpu_time_millis: 8.151, usercpu_time_millis_testing: 1.223, usercpu_time_millis_training: 6.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.6628, kappa: 0.2623, kb_relative_information_score: 148.7934, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8077, predictive_accuracy: 0.7276, prior_entropy: 0.9312, recall: 0.7276, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8896, scimark_benchmark: 1875.7685, usercpu_time_millis: 3.327, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 2.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9401, kappa: 0.8656, kb_relative_information_score: 649.8077, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9463, predictive_accuracy: 0.9415, prior_entropy: 0.9312, recall: 0.9415, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.226, root_relative_squared_error: 0.475, scimark_benchmark: 1868.784, usercpu_time_millis: 6.055, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 5.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 663.0382, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4346, scimark_benchmark: 1872.0299, usercpu_time_millis: 6.949, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 5.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.6883, kappa: 0.3001, kb_relative_information_score: 173.327, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6858, predictive_accuracy: 0.6962, prior_entropy: 0.9312, recall: 0.6962, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8834, scimark_benchmark: 1830.2552, usercpu_time_millis: 0.493, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.5165, kb_relative_information_score: 20.2947, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9837, scimark_benchmark: 1830.7134, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.5165, kb_relative_information_score: 20.8784, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9836, scimark_benchmark: 1860.7227, usercpu_time_millis: 0.727, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.6706, kappa: 0.2552, kb_relative_information_score: 103.3224, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6721, predictive_accuracy: 0.6889, prior_entropy: 0.9312, recall: 0.6889, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9321, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.124, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2146, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1838.5623, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.5165, kb_relative_information_score: -0.3489, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1846.5715, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5165, kb_relative_information_score: 0.0869, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1842.4482, usercpu_time_millis: 1.399, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 1.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.5839, kappa: 0.1149, kb_relative_information_score: 113.1446, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7873, predictive_accuracy: 0.6848, prior_entropy: 0.9312, recall: 0.6848, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9164, scimark_benchmark: 1874.5882, usercpu_time_millis: 1.251, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 450.9501, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6587, scimark_benchmark: 1856.7258, usercpu_time_millis: 5.617, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 4.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.7165, kappa: 0.3702, kb_relative_information_score: 195.1492, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.825, predictive_accuracy: 0.761, prior_entropy: 0.9312, recall: 0.761, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8537, scimark_benchmark: 1868.2531, usercpu_time_millis: 5.803, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 4.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 769.1643, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9847, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3793, scimark_benchmark: 1866.0068, usercpu_time_millis: 6.206, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 5.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9467, kappa: 0.8807, kb_relative_information_score: 678.1407, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9513, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4524, scimark_benchmark: 1846.0894, usercpu_time_millis: 3.081, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 2.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9853, kappa: 0.9675, kb_relative_information_score: 539.3612, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9312, recall: 0.9854, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5602, scimark_benchmark: 1857.0384, usercpu_time_millis: 5.504, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 4.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9401, kappa: 0.8656, kb_relative_information_score: 591.1814, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9463, predictive_accuracy: 0.9415, prior_entropy: 0.9312, recall: 0.9415, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.5208, scimark_benchmark: 1867.725, usercpu_time_millis: 8.063, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 6.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5165, kb_relative_information_score: -0.7201, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.533, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7745, kappa: 0.4921, kb_relative_information_score: 257.107, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8372, predictive_accuracy: 0.7996, prior_entropy: 0.9312, recall: 0.7996, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.8029, scimark_benchmark: 1858.6775, usercpu_time_millis: 0.9, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7818, kappa: 0.5081, kb_relative_information_score: 212.7424, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8391, predictive_accuracy: 0.8048, prior_entropy: 0.9312, recall: 0.8048, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8559, scimark_benchmark: 1858.6775, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.5165, kb_relative_information_score: 0.3139, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1869.2942, usercpu_time_millis: 1.658, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 1.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7467, kappa: 0.427, kb_relative_information_score: 224.6009, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7689, predictive_accuracy: 0.7662, prior_entropy: 0.9312, recall: 0.7662, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8324, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.877, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 465.1667, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6373, scimark_benchmark: 1875.8384, usercpu_time_millis: 2.626, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 2.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8412, kappa: 0.6407, kb_relative_information_score: 364.7697, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8701, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7227, scimark_benchmark: 1872.4881, usercpu_time_millis: 3.52, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 3.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.7458, kappa: 0.4316, kb_relative_information_score: 242.2188, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8359, predictive_accuracy: 0.7808, prior_entropy: 0.9312, recall: 0.7808, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8153, scimark_benchmark: 1872.5609, usercpu_time_millis: 3.399, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 2.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9576, kappa: 0.9051, kb_relative_information_score: 674.0944, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9608, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4477, scimark_benchmark: 1875.5079, usercpu_time_millis: 4.386, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 3.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 751.0203, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3493, scimark_benchmark: 1875.8384, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 4.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 691.8003, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4059, scimark_benchmark: 1872.4881, usercpu_time_millis: 6.033, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 5.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9041, kappa: 0.7837, kb_relative_information_score: 509.3432, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9195, predictive_accuracy: 0.9081, prior_entropy: 0.9312, recall: 0.9081, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5966, scimark_benchmark: 1872.0299, usercpu_time_millis: 6.46, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 5.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9379, kappa: 0.8606, kb_relative_information_score: 622.1308, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9395, prior_entropy: 0.9312, recall: 0.9395, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.237, root_relative_squared_error: 0.498, scimark_benchmark: 1868.7691, usercpu_time_millis: 10.581, usercpu_time_millis_testing: 1.625, usercpu_time_millis_training: 8.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9832, kappa: 0.9629, kb_relative_information_score: 816.2631, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3241, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.464, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.5165, kb_relative_information_score: 31.0587, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9749, scimark_benchmark: 1857.6903, usercpu_time_millis: 1.204, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.5165, kb_relative_information_score: 62.4575, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9564, scimark_benchmark: 1860.7926, usercpu_time_millis: 0.999, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: -0.1649, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1846.1643, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.5874, kappa: 0.1202, kb_relative_information_score: 112.2827, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7776, predictive_accuracy: 0.6858, prior_entropy: 0.9312, recall: 0.6858, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9168, scimark_benchmark: 1874.0573, usercpu_time_millis: 1.5, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.6844, kappa: 0.294, kb_relative_information_score: 181.9144, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6817, predictive_accuracy: 0.69, prior_entropy: 0.9312, recall: 0.69, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8777, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.683, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.5165, kb_relative_information_score: 42.3564, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9657, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.776, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5165, kb_relative_information_score: -0.4136, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1866.7447, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 110.7307, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9396, scimark_benchmark: 1868.9185, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 108.3309, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.938, scimark_benchmark: 1716.1379, usercpu_time_millis: 2.254, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 1.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.1537, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.698, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.696, kappa: 0.3163, kb_relative_information_score: 117.6493, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7388, predictive_accuracy: 0.7317, prior_entropy: 0.9312, recall: 0.7317, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9224, scimark_benchmark: 1713.0998, usercpu_time_millis: 2.308, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7259, kappa: 0.3846, kb_relative_information_score: 180.396, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7874, predictive_accuracy: 0.7599, prior_entropy: 0.9312, recall: 0.7599, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8721, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.5165, kb_relative_information_score: -0.4853, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1863.4084, usercpu_time_millis: 1.806, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 1.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7272, kappa: 0.3832, kb_relative_information_score: 287.1538, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7345, predictive_accuracy: 0.7422, prior_entropy: 0.9312, recall: 0.7422, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7906, scimark_benchmark: 1852.4008, usercpu_time_millis: 1.034, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.6163, kappa: 0.1737, kb_relative_information_score: 132.522, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7951, predictive_accuracy: 0.7015, prior_entropy: 0.9312, recall: 0.7015, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8983, scimark_benchmark: 1872.0299, usercpu_time_millis: 3.755, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 3.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.5165, kb_relative_information_score: 59.8314, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9526, scimark_benchmark: 1872.5609, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6808, kappa: 0.2838, kb_relative_information_score: 107.2584, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7269, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9311, scimark_benchmark: 1874.1301, usercpu_time_millis: 2.452, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 2.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8202, kappa: 0.5936, kb_relative_information_score: 316.4872, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8675, predictive_accuracy: 0.8361, prior_entropy: 0.9312, recall: 0.8361, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7718, scimark_benchmark: 1125.9994, usercpu_time_millis: 5.726, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 4.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 670.3034, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9589, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4516, scimark_benchmark: 1864.4376, usercpu_time_millis: 12.894, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 11.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 778.1472, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3385, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.8985, kappa: 0.7709, kb_relative_information_score: 532.8568, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9147, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.5827, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.306, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9832, kappa: 0.9628, kb_relative_information_score: 616.6126, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9835, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4938, scimark_benchmark: 1867.9251, usercpu_time_millis: 0.584, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.811, kappa: 0.5731, kb_relative_information_score: 402.4179, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8628, predictive_accuracy: 0.8288, prior_entropy: 0.9312, recall: 0.8288, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.7161, scimark_benchmark: 1824.2334, usercpu_time_millis: 0.522, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.5165, kb_relative_information_score: 62.1769, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9539, scimark_benchmark: 1857.1622, usercpu_time_millis: 0.987, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9769, kappa: 0.9489, kb_relative_information_score: 774.2702, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3776, scimark_benchmark: 1851.8567, usercpu_time_millis: 0.989, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7351, kappa: 0.4031, kb_relative_information_score: 201.425, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.783, predictive_accuracy: 0.7641, prior_entropy: 0.9312, recall: 0.7641, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8469, scimark_benchmark: 1834.5221, usercpu_time_millis: 1.151, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.5165, kb_relative_information_score: 69.3828, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9559, scimark_benchmark: 1861.936, usercpu_time_millis: 1.308, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8477, kappa: 0.6554, kb_relative_information_score: 363.1542, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8788, predictive_accuracy: 0.858, prior_entropy: 0.9312, recall: 0.858, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7261, scimark_benchmark: 1851.8567, usercpu_time_millis: 1.051, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.5165, kb_relative_information_score: 42.2782, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9664, scimark_benchmark: 1814.613, usercpu_time_millis: 1.774, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8352, kappa: 0.6271, kb_relative_information_score: 320.9207, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8714, predictive_accuracy: 0.8476, prior_entropy: 0.9312, recall: 0.8476, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.755, scimark_benchmark: 1858.4861, usercpu_time_millis: 1.477, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.5308, kappa: 0.0235, kb_relative_information_score: 77.4204, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7762, predictive_accuracy: 0.6597, prior_entropy: 0.9312, recall: 0.6597, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.939, scimark_benchmark: 1851.3287, usercpu_time_millis: 1.829, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 569.8136, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.526, scimark_benchmark: 1868.2531, usercpu_time_millis: 8.57, usercpu_time_millis_testing: 1.301, usercpu_time_millis_training: 7.269,

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