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Supervised Classification on tr21.wc

Supervised Classification on tr21.wc

Task 3519 Supervised Classification tr21.wc 129 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8853, kappa: 0.7759, kb_relative_information_score: 205.0447, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.9051, predictive_accuracy: 0.8988, prior_entropy: 1.5466, recall: 0.8988, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.774, kappa: 0.5141, kb_relative_information_score: 183.0056, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8269, predictive_accuracy: 0.8095, prior_entropy: 1.5466, recall: 0.8095, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8303, kappa: 0.6588, kb_relative_information_score: 206.2116, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8289, predictive_accuracy: 0.8333, prior_entropy: 1.5466, recall: 0.8333, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.8177,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.5972, kappa: 0.1272, kb_relative_information_score: 71.3401, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.559, predictive_accuracy: 0.6667, prior_entropy: 1.5466, recall: 0.6667, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3333, root_relative_squared_error: 1.1563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.7027, kappa: 0.3997, kb_relative_information_score: 130.517, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6829, predictive_accuracy: 0.7381, prior_entropy: 1.5466, recall: 0.7381, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.633, kappa: 0.2743, kb_relative_information_score: 93.5228, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.5766, predictive_accuracy: 0.7024, prior_entropy: 1.5466, recall: 0.7024, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8635, kappa: 0.7248, kb_relative_information_score: 228.2669, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8662, predictive_accuracy: 0.8631, prior_entropy: 1.5466, recall: 0.8631, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.7239, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9025, kappa: 0.8001, kb_relative_information_score: 249.3834, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.9064, predictive_accuracy: 0.9048, prior_entropy: 1.5466, recall: 0.9048, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5419, scimark_benchmark: 851.2074, usercpu_time_millis: 35150, usercpu_time_millis_training: 35150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8635, kappa: 0.7248, kb_relative_information_score: 228.2669, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8662, predictive_accuracy: 0.8631, prior_entropy: 1.5466, recall: 0.8631, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.7239, scimark_benchmark: 819.5729, usercpu_time_millis: 5650, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 5330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9025, kappa: 0.8001, kb_relative_information_score: 249.3834, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.9064, predictive_accuracy: 0.9048, prior_entropy: 1.5466, recall: 0.9048, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5419, scimark_benchmark: 819.5729, usercpu_time_millis: 56090, usercpu_time_millis_training: 56090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8432, kappa: 0.6809, kb_relative_information_score: 216.3243, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8493, predictive_accuracy: 0.8512, prior_entropy: 1.5466, recall: 0.8512, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.65, scimark_benchmark: 932.4744, usercpu_time_millis: 925370, usercpu_time_millis_testing: 409220, usercpu_time_millis_training: 516150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.836, kappa: 0.6706, kb_relative_information_score: 214.9607, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.84, predictive_accuracy: 0.8512, prior_entropy: 1.5466, recall: 0.8512, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6614, scimark_benchmark: 941.9549, usercpu_time_millis: 514260, usercpu_time_millis_testing: 234690, usercpu_time_millis_training: 279570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4756, f_measure: 0.5602, kb_relative_information_score: -0.2807, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.4727, predictive_accuracy: 0.6875, prior_entropy: 1.5466, recall: 0.6875, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2883, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 33.1853, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9403, scimark_benchmark: 936.1714, usercpu_time_millis: 2540, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 33.1853, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9403, scimark_benchmark: 935.6052, usercpu_time_millis: 2700, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 33.1853, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9403, scimark_benchmark: 940.0055, usercpu_time_millis: 2680, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 33.1853, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9403, scimark_benchmark: 935.6052, usercpu_time_millis: 2700, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 33.1853, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9403, scimark_benchmark: 935.6052, usercpu_time_millis: 2680, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5602, kb_relative_information_score: 73.9138, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.4727, predictive_accuracy: 0.6875, prior_entropy: 1.5466, recall: 0.6875, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.1196, scimark_benchmark: 938.3115, usercpu_time_millis: 320, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8328, kappa: 0.6644, kb_relative_information_score: 222.0231, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8296, predictive_accuracy: 0.8393, prior_entropy: 1.5466, recall: 0.8393, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6646, scimark_benchmark: 896.741, usercpu_time_millis: 93580, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 93530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8478, kappa: 0.6861, kb_relative_information_score: 213.6599, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8578, predictive_accuracy: 0.8571, prior_entropy: 1.5466, recall: 0.8571, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.6597, scimark_benchmark: 943.4741, usercpu_time_millis: 599400, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 599340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.6598, kappa: 0.2573, kb_relative_information_score: 84.9601, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6693, predictive_accuracy: 0.7411, prior_entropy: 1.5466, recall: 0.7411, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.8436, scimark_benchmark: 933.0918, usercpu_time_millis: 1150, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8635, kappa: 0.7248, kb_relative_information_score: 228.2669, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8662, predictive_accuracy: 0.8631, prior_entropy: 1.5466, recall: 0.8631, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.7239, scimark_benchmark: 907.1091, usercpu_time_millis: 5380, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 5140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9025, kappa: 0.8001, kb_relative_information_score: 249.3834, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.9064, predictive_accuracy: 0.9048, prior_entropy: 1.5466, recall: 0.9048, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5419, scimark_benchmark: 936.9668, usercpu_time_millis: 55280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 55270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8635, kappa: 0.7248, kb_relative_information_score: 228.2669, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8662, predictive_accuracy: 0.8631, prior_entropy: 1.5466, recall: 0.8631, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.7239, scimark_benchmark: 915.9028, usercpu_time_millis: 6100, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 5870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8635, kappa: 0.7248, kb_relative_information_score: 228.2669, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8662, predictive_accuracy: 0.8631, prior_entropy: 1.5466, recall: 0.8631, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.7239, scimark_benchmark: 1313.8988, usercpu_time_millis: 3970, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 3790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.7067, kappa: 0.3941, kb_relative_information_score: 122.6676, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.7004, predictive_accuracy: 0.7173, prior_entropy: 1.5466, recall: 0.7173, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.296, root_relative_squared_error: 1.0269, scimark_benchmark: 1331.7953, usercpu_time_millis: 9614870, usercpu_time_millis_testing: 37380, usercpu_time_millis_training: 9577490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8635, kappa: 0.7248, kb_relative_information_score: 228.2669, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8662, predictive_accuracy: 0.8631, prior_entropy: 1.5466, recall: 0.8631, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.7239, scimark_benchmark: 1333.6736, usercpu_time_millis: 3480, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9025, kappa: 0.8001, kb_relative_information_score: 249.3834, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.9064, predictive_accuracy: 0.9048, prior_entropy: 1.5466, recall: 0.9048, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5419, scimark_benchmark: 1322.3407, usercpu_time_millis: 35120, usercpu_time_millis_training: 35120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8635, kappa: 0.7248, kb_relative_information_score: 228.2669, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8662, predictive_accuracy: 0.8631, prior_entropy: 1.5466, recall: 0.8631, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.7239, scimark_benchmark: 1344.7524, usercpu_time_millis: 3620, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 3440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 224.2281, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8529, predictive_accuracy: 0.8661, prior_entropy: 1.5466, recall: 0.8661, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.6947, scimark_benchmark: 1348.2804, usercpu_time_millis: 151310, usercpu_time_millis_testing: 30590, usercpu_time_millis_training: 120720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8675, kappa: 0.7293, kb_relative_information_score: 225.9082, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8698, predictive_accuracy: 0.872, prior_entropy: 1.5466, recall: 0.872, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6789, scimark_benchmark: 938.202, usercpu_time_millis: 72598090, usercpu_time_millis_testing: 5920, usercpu_time_millis_training: 72592170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8788, kappa: 0.7564, kb_relative_information_score: 241.056, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8789, predictive_accuracy: 0.8869, prior_entropy: 1.5466, recall: 0.8869, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.6507, scimark_benchmark: 1339.8573, usercpu_time_millis: 420600, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 420080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9153, kappa: 0.829, kb_relative_information_score: 265.8631, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.5466, recall: 0.9167, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5782, scimark_benchmark: 1339.8573, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8474, kappa: 0.694, kb_relative_information_score: 201.0417, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8479, predictive_accuracy: 0.8571, prior_entropy: 1.5466, recall: 0.8571, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.738, scimark_benchmark: 1350.073, usercpu_time_millis: 27600, usercpu_time_millis_training: 27600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8704, kappa: 0.7382, kb_relative_information_score: 225.451, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8809, predictive_accuracy: 0.8839, prior_entropy: 1.5466, recall: 0.8839, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5893, scimark_benchmark: 892.0148, usercpu_time_millis: 108130, usercpu_time_millis_training: 108130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9025, kappa: 0.8001, kb_relative_information_score: 249.3834, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.9064, predictive_accuracy: 0.9048, prior_entropy: 1.5466, recall: 0.9048, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5419, scimark_benchmark: 1311.9814, usercpu_time_millis: 35230, usercpu_time_millis_training: 35230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8726, kappa: 0.7494, kb_relative_information_score: 215.0992, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8905, predictive_accuracy: 0.8899, prior_entropy: 1.5466, recall: 0.8899, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.585, scimark_benchmark: 932.5646, usercpu_time_millis: 235910, usercpu_time_millis_testing: 8200, usercpu_time_millis_training: 227710,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9327, kappa: 0.8628, kb_relative_information_score: 278.518, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.9344, predictive_accuracy: 0.9345, prior_entropy: 1.5466, recall: 0.9345, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.49, scimark_benchmark: 938.9967, usercpu_time_millis: 771500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 771490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9229, kappa: 0.8433, kb_relative_information_score: 273.9687, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.9252, predictive_accuracy: 0.9256, prior_entropy: 1.5466, recall: 0.9256, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4633, scimark_benchmark: 1386.5717, usercpu_time_millis: 135940, usercpu_time_millis_training: 135940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8602, kappa: 0.7175, kb_relative_information_score: 222.0983, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.868, predictive_accuracy: 0.875, prior_entropy: 1.5466, recall: 0.875, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.6023, scimark_benchmark: 924.1296, usercpu_time_millis: 40690, usercpu_time_millis_training: 40690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.8496, kappa: 0.697, kb_relative_information_score: 220.359, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8488, predictive_accuracy: 0.8512, prior_entropy: 1.5466, recall: 0.8512, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.7445, scimark_benchmark: 1336.2509, usercpu_time_millis: 101400, usercpu_time_millis_training: 101400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 33.1853, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9403, scimark_benchmark: 1304.9611, usercpu_time_millis: 2340, usercpu_time_millis_training: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 33.1853, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9403, scimark_benchmark: 942.6843, usercpu_time_millis: 2610, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 33.1853, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9403, scimark_benchmark: 938.343, usercpu_time_millis: 2560, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 33.1853, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9403, scimark_benchmark: 1321.9426, usercpu_time_millis: 2360, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 33.1853, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9403, scimark_benchmark: 825.5282, usercpu_time_millis: 2300, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.5754, kappa: 0.045, kb_relative_information_score: 82.4779, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.5529, predictive_accuracy: 0.6756, prior_entropy: 1.5466, recall: 0.6756, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.982, scimark_benchmark: 924.3698, usercpu_time_millis: 2670, usercpu_time_millis_testing: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6046, kappa: 0.1161, kb_relative_information_score: 86.3629, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6225, predictive_accuracy: 0.6935, prior_entropy: 1.5466, recall: 0.6935, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2913, root_relative_squared_error: 1.0106, scimark_benchmark: 1333.5799, usercpu_time_millis: 1960, usercpu_time_millis_testing: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.5602, kb_relative_information_score: -81.3042, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.4727, predictive_accuracy: 0.6875, prior_entropy: 1.5466, recall: 0.6875, relative_absolute_error: 1.4017, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3312, root_relative_squared_error: 1.1491, scimark_benchmark: 887.6719, usercpu_time_millis: 5280, usercpu_time_millis_testing: 3960, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7708, kappa: 0.5157, kb_relative_information_score: -55.4671, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.7748, predictive_accuracy: 0.7917, prior_entropy: 1.5466, recall: 0.7917, relative_absolute_error: 1.3726, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3236, root_relative_squared_error: 1.1227, scimark_benchmark: 912.5006, usercpu_time_millis: 1280, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8853, kappa: 0.7692, kb_relative_information_score: 247.4143, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8865, predictive_accuracy: 0.8929, prior_entropy: 1.5466, recall: 0.8929, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.6251, scimark_benchmark: 1304.9611, usercpu_time_millis: 89780, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 89150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9153, kappa: 0.829, kb_relative_information_score: 265.8631, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.5466, recall: 0.9167, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5782, scimark_benchmark: 916.5955, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.747, kappa: 0.5613, kb_relative_information_score: 171.0938, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8253, predictive_accuracy: 0.7321, prior_entropy: 1.5466, recall: 0.7321, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.9792, scimark_benchmark: 1028.5889, usercpu_time_millis: 4430, usercpu_time_millis_testing: 2170, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.6161, kappa: 0.1283, kb_relative_information_score: 132.3668, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.7119, predictive_accuracy: 0.7143, prior_entropy: 1.5466, recall: 0.7143, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.8005, scimark_benchmark: 1336.2509, usercpu_time_millis: 4280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 4160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.63, kappa: 0.2393, kb_relative_information_score: 75.7902, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6169, predictive_accuracy: 0.6458, prior_entropy: 1.5466, recall: 0.6458, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3436, root_relative_squared_error: 1.1919, scimark_benchmark: 1321.527, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8588, kappa: 0.7198, kb_relative_information_score: 209.8237, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8535, predictive_accuracy: 0.869, prior_entropy: 1.5466, recall: 0.869, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6734, scimark_benchmark: 1319.6463, usercpu_time_millis: 4720, usercpu_time_millis_training: 4720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8332, kappa: 0.6647, kb_relative_information_score: 197.0057, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8297, predictive_accuracy: 0.8423, prior_entropy: 1.5466, recall: 0.8423, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.7374, scimark_benchmark: 1339.7143, usercpu_time_millis: 39640, usercpu_time_millis_training: 39640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7538, kappa: 0.5117, kb_relative_information_score: 167.0632, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8027, predictive_accuracy: 0.8006, prior_entropy: 1.5466, recall: 0.8006, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.8944, scimark_benchmark: 1313.5726, usercpu_time_millis: 26770, usercpu_time_millis_testing: 11830, usercpu_time_millis_training: 14940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5602, kb_relative_information_score: 73.9138, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.4727, predictive_accuracy: 0.6875, prior_entropy: 1.5466, recall: 0.6875, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.1196, scimark_benchmark: 1335.643, usercpu_time_millis: 9190, usercpu_time_millis_testing: 1520, usercpu_time_millis_training: 7670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8036, kappa: 0.6168, kb_relative_information_score: 194.9517, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.8045, predictive_accuracy: 0.8125, prior_entropy: 1.5466, recall: 0.8125, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.8547, scimark_benchmark: 1466.6185, usercpu_time_millis: 19290, usercpu_time_millis_training: 19290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.6844, kappa: 0.3912, kb_relative_information_score: 139.3905, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.7738, prior_entropy: 1.5466, recall: 0.7738, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9525, scimark_benchmark: 1466.6185, usercpu_time_millis: 580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.8651, kappa: 0.7191, kb_relative_information_score: 231.4368, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.873, predictive_accuracy: 0.869, prior_entropy: 1.5466, recall: 0.869, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.7248, scimark_benchmark: 1480.5705, usercpu_time_millis: 38010, usercpu_time_millis_training: 38010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4756, f_measure: 0.5602, kb_relative_information_score: -0.2807, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.1681, number_of_instances: 336, precision: 0.4727, predictive_accuracy: 0.6875, prior_entropy: 1.5466, recall: 0.6875, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.2883, root_mean_squared_error: 0.2883, root_relative_squared_error: 1.0002, scimark_benchmark: 1505.597,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs