Task
Supervised Classification on pm10

Supervised Classification on pm10

Task 3616 Supervised Classification pm10 558 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, f_measure: 0.5177, kappa: 0.0588, kb_relative_information_score: 5.9194, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5331, predictive_accuracy: 0.532, prior_entropy: 0.9998, recall: 0.532, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.5677, kappa: 0.138, kb_relative_information_score: 37.4477, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5703, predictive_accuracy: 0.57, prior_entropy: 0.9998, recall: 0.57, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5074, kappa: 0.0351, kb_relative_information_score: 5.7845, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5195, predictive_accuracy: 0.52, prior_entropy: 0.9998, recall: 0.52, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5186, f_measure: 0.5308, kappa: 0.0759, kb_relative_information_score: 9.934, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5409, predictive_accuracy: 0.54, prior_entropy: 0.9998, recall: 0.54, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5122, kappa: 0.0505, kb_relative_information_score: 8.2412, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5288, predictive_accuracy: 0.528, prior_entropy: 0.9998, recall: 0.528, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5565, kappa: 0.1144, kb_relative_information_score: 36.1265, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5579, predictive_accuracy: 0.558, prior_entropy: 0.9998, recall: 0.558, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.0758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.5027, kappa: 0.0529, kb_relative_information_score: 5.3056, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5335, predictive_accuracy: 0.53, prior_entropy: 0.9998, recall: 0.53, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.531, kappa: 0.0724, kb_relative_information_score: 5.1871, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5383, predictive_accuracy: 0.538, prior_entropy: 0.9998, recall: 0.538, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4867, f_measure: 0.4717, kappa: -0.0542, kb_relative_information_score: -1.3614, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4727, predictive_accuracy: 0.474, prior_entropy: 0.9998, recall: 0.474, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.6059, kappa: 0.2115, kb_relative_information_score: 88.8733, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.6059, predictive_accuracy: 0.606, prior_entropy: 0.9998, recall: 0.606, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.4977, kappa: 0.0115, kb_relative_information_score: 1.4948, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5062, predictive_accuracy: 0.504, prior_entropy: 0.9998, recall: 0.504, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0312, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.5417, kappa: 0.0859, kb_relative_information_score: 37.2755, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5438, predictive_accuracy: 0.544, prior_entropy: 0.9998, recall: 0.544, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.4621, kappa: -0.0124, kb_relative_information_score: -2.7463, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4918, predictive_accuracy: 0.498, prior_entropy: 0.9998, recall: 0.498, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5998, root_relative_squared_error: 1.1997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.5529, kappa: 0.1096, kb_relative_information_score: 28.2711, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5562, predictive_accuracy: 0.556, prior_entropy: 0.9998, recall: 0.556, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.5813, kappa: 0.1659, kb_relative_information_score: 29.7257, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5848, predictive_accuracy: 0.584, prior_entropy: 0.9998, recall: 0.584, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0312, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.5565, kappa: 0.1144, kb_relative_information_score: 35.021, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5579, predictive_accuracy: 0.558, prior_entropy: 0.9998, recall: 0.558, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5312, f_measure: 0.5497, kappa: 0.1019, kb_relative_information_score: 11.8961, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5519, predictive_accuracy: 0.552, prior_entropy: 0.9998, recall: 0.552, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.5236, kappa: 0.0708, kb_relative_information_score: 7.1897, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.54, predictive_accuracy: 0.538, prior_entropy: 0.9998, recall: 0.538, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.491, kappa: 0.0593, kb_relative_information_score: 18.6271, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.544, predictive_accuracy: 0.534, prior_entropy: 0.9998, recall: 0.534, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.5156, kappa: 0.0585, kb_relative_information_score: 8.2467, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5335, predictive_accuracy: 0.532, prior_entropy: 0.9998, recall: 0.532, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.4954, kappa: -0.0031, kb_relative_information_score: 6.6808, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4985, predictive_accuracy: 0.5, prior_entropy: 0.9998, recall: 0.5, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.4941, kappa: 0.0035, kb_relative_information_score: 3.8175, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.502, predictive_accuracy: 0.504, prior_entropy: 0.9998, recall: 0.504, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.5163, kappa: 0.0586, kb_relative_information_score: 8.4918, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5334, predictive_accuracy: 0.532, prior_entropy: 0.9998, recall: 0.532, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6244, kappa: 0.2504, kb_relative_information_score: 61.3066, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.627, predictive_accuracy: 0.626, prior_entropy: 0.9998, recall: 0.626, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.4453, kappa: 0.0015, kb_relative_information_score: 5.8182, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5014, predictive_accuracy: 0.506, prior_entropy: 0.9998, recall: 0.506, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7029, root_relative_squared_error: 1.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.5358, kappa: 0.0714, kb_relative_information_score: 28.2063, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5358, predictive_accuracy: 0.536, prior_entropy: 0.9998, recall: 0.536, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.491, kappa: 0.0593, kb_relative_information_score: 18.6271, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.544, predictive_accuracy: 0.534, prior_entropy: 0.9998, recall: 0.534, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.5163, kappa: 0.0586, kb_relative_information_score: 8.4918, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5334, predictive_accuracy: 0.532, prior_entropy: 0.9998, recall: 0.532, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5317, kappa: 0.1017, kb_relative_information_score: 12.2994, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5621, predictive_accuracy: 0.554, prior_entropy: 0.9998, recall: 0.554, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.5942, kappa: 0.1969, kb_relative_information_score: 55.2527, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.6038, predictive_accuracy: 0.6, prior_entropy: 0.9998, recall: 0.6, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5176, f_measure: 0.5177, kappa: 0.0352, kb_relative_information_score: 17.8226, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5177, predictive_accuracy: 0.518, prior_entropy: 0.9998, recall: 0.518, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6943, root_relative_squared_error: 1.3887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5838, kappa: 0.1768, kb_relative_information_score: 44.5911, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5934, predictive_accuracy: 0.59, prior_entropy: 0.9998, recall: 0.59, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.5376, kappa: 0.0811, kb_relative_information_score: 23.9064, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.542, predictive_accuracy: 0.542, prior_entropy: 0.9998, recall: 0.542, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403, scimark_benchmark: 1697.6783, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5265, kappa: 0.0824, kb_relative_information_score: 43.8321, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5478, predictive_accuracy: 0.544, prior_entropy: 0.9998, recall: 0.544, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3507, scimark_benchmark: 1862.8608, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403, scimark_benchmark: 1632.9713, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5265, kappa: 0.0824, kb_relative_information_score: 43.8321, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5478, predictive_accuracy: 0.544, prior_entropy: 0.9998, recall: 0.544, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3507, scimark_benchmark: 1357.6117, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, f_measure: 0.3245, kb_relative_information_score: 7.896, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2421, predictive_accuracy: 0.492, prior_entropy: 0.9998, recall: 0.492, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0193, scimark_benchmark: 1908.2191, usercpu_time_millis: 1265.625, usercpu_time_millis_training: 1265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.3407, kappa: -0.0168, kb_relative_information_score: -4.8429, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4304, predictive_accuracy: 0.484, prior_entropy: 0.9998, recall: 0.484, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.0419, scimark_benchmark: 1908.2191, usercpu_time_millis: 1187.5, usercpu_time_millis_training: 1187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5463, kappa: 0.1043, kb_relative_information_score: 53.8358, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5556, predictive_accuracy: 0.554, prior_entropy: 0.9998, recall: 0.554, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6678, root_relative_squared_error: 1.3358, scimark_benchmark: 1827.4462, usercpu_time_millis: 16812.5, usercpu_time_millis_training: 16812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.5042, kappa: 0.0132, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5069, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403, scimark_benchmark: 1827.4462, usercpu_time_millis: 953.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.5309, kappa: 0.0704, kb_relative_information_score: 6.2163, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5365, predictive_accuracy: 0.534, prior_entropy: 0.9998, recall: 0.534, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.0758, scimark_benchmark: 1413.9457, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.3407, kappa: -0.0168, kb_relative_information_score: -4.8429, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4304, predictive_accuracy: 0.484, prior_entropy: 0.9998, recall: 0.484, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.0419, scimark_benchmark: 1871.4229, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.5163, kappa: 0.0586, kb_relative_information_score: 8.4918, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5334, predictive_accuracy: 0.532, prior_entropy: 0.9998, recall: 0.532, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0181, scimark_benchmark: 1278.7577, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.3339, kappa: -0.0044, kb_relative_information_score: 0.1154, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4592, predictive_accuracy: 0.49, prior_entropy: 0.9998, recall: 0.49, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0324, scimark_benchmark: 1299.6241, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.4824, kappa: -0.0204, kb_relative_information_score: -8.1869, mean_absolute_error: 0.508, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4892, predictive_accuracy: 0.492, prior_entropy: 0.9998, recall: 0.492, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7127, root_relative_squared_error: 1.4257, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.4971, kappa: -0.0054, kb_relative_information_score: -2.1847, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4974, predictive_accuracy: 0.498, prior_entropy: 0.9998, recall: 0.498, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.4172, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.4985, kappa: -0.0018, kb_relative_information_score: -2.0955, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4992, predictive_accuracy: 0.5, prior_entropy: 0.9998, recall: 0.5, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.009, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.5713, kappa: 0.1429, kb_relative_information_score: 71.6123, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5719, predictive_accuracy: 0.572, prior_entropy: 0.9998, recall: 0.572, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6528, root_relative_squared_error: 1.3057, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.5558, kappa: 0.114, kb_relative_information_score: 15.4547, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.558, predictive_accuracy: 0.558, prior_entropy: 0.9998, recall: 0.558, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0092, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5335, kappa: 0.0731, kb_relative_information_score: 13.6692, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5379, predictive_accuracy: 0.538, prior_entropy: 0.9998, recall: 0.538, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0321, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.5492, kappa: 0.0988, kb_relative_information_score: 34.8302, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5497, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0867, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.6447, kappa: 0.2906, kb_relative_information_score: 62.5036, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.6471, predictive_accuracy: 0.646, prior_entropy: 0.9998, recall: 0.646, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.478, root_relative_squared_error: 0.956, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5122, kappa: 0.0505, kb_relative_information_score: 8.2412, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5288, predictive_accuracy: 0.528, prior_entropy: 0.9998, recall: 0.528, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0183, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.491, kappa: 0.0593, kb_relative_information_score: 18.6271, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.544, predictive_accuracy: 0.534, prior_entropy: 0.9998, recall: 0.534, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0235, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.5163, kappa: 0.0586, kb_relative_information_score: 8.4918, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5334, predictive_accuracy: 0.532, prior_entropy: 0.9998, recall: 0.532, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0181, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.4824, kappa: -0.0204, kb_relative_information_score: -8.1869, mean_absolute_error: 0.508, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4892, predictive_accuracy: 0.492, prior_entropy: 0.9998, recall: 0.492, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7127, root_relative_squared_error: 1.4257, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.4971, kappa: -0.0054, kb_relative_information_score: -2.1847, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4974, predictive_accuracy: 0.498, prior_entropy: 0.9998, recall: 0.498, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.4172, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.3339, kappa: -0.0044, kb_relative_information_score: 0.1154, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4592, predictive_accuracy: 0.49, prior_entropy: 0.9998, recall: 0.49, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0324, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.4985, kappa: -0.0018, kb_relative_information_score: -2.0955, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4992, predictive_accuracy: 0.5, prior_entropy: 0.9998, recall: 0.5, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.009, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.5713, kappa: 0.1429, kb_relative_information_score: 71.6123, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5719, predictive_accuracy: 0.572, prior_entropy: 0.9998, recall: 0.572, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6528, root_relative_squared_error: 1.3057, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.5558, kappa: 0.114, kb_relative_information_score: 15.4547, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.558, predictive_accuracy: 0.558, prior_entropy: 0.9998, recall: 0.558, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0092, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5335, kappa: 0.0731, kb_relative_information_score: 13.6692, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5379, predictive_accuracy: 0.538, prior_entropy: 0.9998, recall: 0.538, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0321, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.5492, kappa: 0.0988, kb_relative_information_score: 34.8302, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5497, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0867, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.6447, kappa: 0.2906, kb_relative_information_score: 62.5036, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.6471, predictive_accuracy: 0.646, prior_entropy: 0.9998, recall: 0.646, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.478, root_relative_squared_error: 0.956, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5122, kappa: 0.0505, kb_relative_information_score: 8.2412, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5288, predictive_accuracy: 0.528, prior_entropy: 0.9998, recall: 0.528, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0183, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.491, kappa: 0.0593, kb_relative_information_score: 18.6271, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.544, predictive_accuracy: 0.534, prior_entropy: 0.9998, recall: 0.534, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0235, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.4985, kappa: -0.0018, kb_relative_information_score: -2.0955, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4992, predictive_accuracy: 0.5, prior_entropy: 0.9998, recall: 0.5, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.009, scimark_benchmark: 1327.5254, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5186, f_measure: 0.5308, kappa: 0.0759, kb_relative_information_score: 9.934, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5409, predictive_accuracy: 0.54, prior_entropy: 0.9998, recall: 0.54, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0279, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.5558, kappa: 0.114, kb_relative_information_score: 15.4547, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.558, predictive_accuracy: 0.558, prior_entropy: 0.9998, recall: 0.558, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0092, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.3245, kb_relative_information_score: 2.9073, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2421, predictive_accuracy: 0.492, prior_entropy: 0.9998, recall: 0.492, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0249, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4833, kappa: -0.0272, kb_relative_information_score: 0.2341, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4861, predictive_accuracy: 0.488, prior_entropy: 0.9998, recall: 0.488, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0065, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, f_measure: 0.495, kappa: -0.0032, kb_relative_information_score: 0.826, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4985, predictive_accuracy: 0.5, prior_entropy: 0.9998, recall: 0.5, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0024, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4776, f_measure: 0.3401, kappa: 0.0075, kb_relative_information_score: -2.879, mean_absolute_error: 0.5024, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5817, predictive_accuracy: 0.496, prior_entropy: 0.9998, recall: 0.496, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0295, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4397, f_measure: 0.3837, kappa: -0.0572, kb_relative_information_score: -1.0726, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4289, predictive_accuracy: 0.478, prior_entropy: 0.9998, recall: 0.478, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0016, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.4453, kappa: 0.0015, kb_relative_information_score: 5.8182, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5014, predictive_accuracy: 0.506, prior_entropy: 0.9998, recall: 0.506, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7029, root_relative_squared_error: 1.4059, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.5042, kappa: 0.0132, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5069, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403, scimark_benchmark: 994.4032, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.4985, kappa: -0.0018, kb_relative_information_score: -2.0955, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.4992, predictive_accuracy: 0.5, prior_entropy: 0.9998, recall: 0.5, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.009, scimark_benchmark: 1135.5849, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs