Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129572 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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129572 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.767, kappa: 0.4733, kb_relative_information_score: 0.2645, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7737, number_of_instances: 601, precision: 0.7679, predictive_accuracy: 0.7737, prior_entropy: 0.9274, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8494, unweighted_recall: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: -0.0007, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.985, kappa: 0.9666, kb_relative_information_score: 0.6414, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4507, weighted_recall: 0.985, number_of_instances: 601, precision: 0.9851, predictive_accuracy: 0.985, prior_entropy: 0.9274, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4922, unweighted_recall: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.5307, kappa: -0.0309, kb_relative_information_score: 0.0345, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6256, number_of_instances: 601, precision: 0.5159, predictive_accuracy: 0.6256, prior_entropy: 0.9274, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9794, unweighted_recall: 0.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6485, kappa: 0.2011, kb_relative_information_score: 0.1753, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6656, number_of_instances: 601, precision: 0.6457, predictive_accuracy: 0.6656, prior_entropy: 0.9274, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9006, unweighted_recall: 0.5934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.5933, kappa: 0.0934, kb_relative_information_score: 0.0558, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6622, number_of_instances: 601, precision: 0.625, predictive_accuracy: 0.6622, prior_entropy: 0.9274, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9687, unweighted_recall: 0.5386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6082, kappa: 0.113, kb_relative_information_score: 0.0817, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6556, number_of_instances: 601, precision: 0.6182, predictive_accuracy: 0.6556, prior_entropy: 0.9274, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9494, unweighted_recall: 0.5487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.5441, kappa: 0.0134, kb_relative_information_score: 0.023, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6489, number_of_instances: 601, precision: 0.5707, predictive_accuracy: 0.6489, prior_entropy: 0.9274, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9833, unweighted_recall: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0.0084, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0016, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.9889, kb_relative_information_score: 0.8522, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4507, weighted_recall: 0.995, number_of_instances: 601, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9274, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2603, unweighted_recall: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, kb_relative_information_score: -0.0043, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.6106, kappa: 0.1192, kb_relative_information_score: 0.0777, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6589, number_of_instances: 601, precision: 0.623, predictive_accuracy: 0.6589, prior_entropy: 0.9274, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9686, unweighted_recall: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8455, kappa: 0.6506, kb_relative_information_score: 0.3314, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8502, number_of_instances: 601, precision: 0.8506, predictive_accuracy: 0.8502, prior_entropy: 0.9274, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7799, unweighted_recall: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.5757, kappa: 0.047, kb_relative_information_score: 0.0702, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.5826, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9556, unweighted_recall: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.0059, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0014, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.5819, kappa: 0.062, kb_relative_information_score: 0.0906, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.5941, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9479, unweighted_recall: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8199, kappa: 0.5906, kb_relative_information_score: 0.3436, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8286, number_of_instances: 601, precision: 0.8322, predictive_accuracy: 0.8286, prior_entropy: 0.9274, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.774, unweighted_recall: 0.7744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: -0.0125, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6522, number_of_instances: 601, precision: 0.4308, predictive_accuracy: 0.6522, prior_entropy: 0.9274, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0061, unweighted_recall: 0.4962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.5524, kappa: 0.0044, kb_relative_information_score: 0.0526, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6306, number_of_instances: 601, precision: 0.5532, predictive_accuracy: 0.6306, prior_entropy: 0.9274, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9695, unweighted_recall: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.5678, kappa: 0.0332, kb_relative_information_score: 0.0717, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6373, number_of_instances: 601, precision: 0.5747, predictive_accuracy: 0.6373, prior_entropy: 0.9274, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9592, unweighted_recall: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, kb_relative_information_score: -0.0216, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0082, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9614, kappa: 0.9138, kb_relative_information_score: 0.6711, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9617, number_of_instances: 601, precision: 0.9621, predictive_accuracy: 0.9617, prior_entropy: 0.9274, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.4839, unweighted_recall: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.6104, kappa: 0.1206, kb_relative_information_score: 0.0762, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6622, number_of_instances: 601, precision: 0.6274, predictive_accuracy: 0.6622, prior_entropy: 0.9274, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9544, unweighted_recall: 0.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, kb_relative_information_score: 0.0089, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9884, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8119, kappa: 0.575, kb_relative_information_score: 0.303, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4507, weighted_recall: 0.817, number_of_instances: 601, precision: 0.8142, predictive_accuracy: 0.817, prior_entropy: 0.9274, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.8052, unweighted_recall: 0.7748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9166, kappa: 0.8118, kb_relative_information_score: 0.4266, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9185, number_of_instances: 601, precision: 0.9212, predictive_accuracy: 0.9185, prior_entropy: 0.9274, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6953, unweighted_recall: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.5686, kappa: 0.0203, kb_relative_information_score: 0.0977, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4507, weighted_recall: 0.614, number_of_instances: 601, precision: 0.561, predictive_accuracy: 0.614, prior_entropy: 0.9274, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9468, unweighted_recall: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, kb_relative_information_score: -0.0076, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.5313, kappa: 0.0055, kb_relative_information_score: -0.0048, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6539, number_of_instances: 601, precision: 0.5697, predictive_accuracy: 0.6539, prior_entropy: 0.9274, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, unweighted_recall: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -0.0087, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0027, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -0.0067, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0015, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.6098, kappa: 0.1284, kb_relative_information_score: 0.0623, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6739, number_of_instances: 601, precision: 0.6494, predictive_accuracy: 0.6739, prior_entropy: 0.9274, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9605, unweighted_recall: 0.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.5189, kappa: -0.0266, kb_relative_information_score: 0.0202, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6406, number_of_instances: 601, precision: 0.4778, predictive_accuracy: 0.6406, prior_entropy: 0.9274, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9836, unweighted_recall: 0.4897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8125, kappa: 0.5745, kb_relative_information_score: 0.3056, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8203, number_of_instances: 601, precision: 0.8205, predictive_accuracy: 0.8203, prior_entropy: 0.9274, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7981, unweighted_recall: 0.7692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8616, kappa: 0.6874, kb_relative_information_score: 0.5167, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8652, number_of_instances: 601, precision: 0.8656, predictive_accuracy: 0.8652, prior_entropy: 0.9274, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6495, unweighted_recall: 0.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.5269, kappa: -0.0108, kb_relative_information_score: 0.035, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.5221, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9777, unweighted_recall: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.5498, kappa: -0.0083, kb_relative_information_score: 0.0697, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6206, number_of_instances: 601, precision: 0.5433, predictive_accuracy: 0.6206, prior_entropy: 0.9274, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9593, unweighted_recall: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.99, kappa: 0.9778, kb_relative_information_score: 0.8857, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4507, weighted_recall: 0.99, number_of_instances: 601, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.9274, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.2378, unweighted_recall: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, kb_relative_information_score: -0.0049, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.6939, kappa: 0.3072, kb_relative_information_score: 0.1831, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7038, number_of_instances: 601, precision: 0.6921, predictive_accuracy: 0.7038, prior_entropy: 0.9274, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9037, unweighted_recall: 0.6458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, kb_relative_information_score: -0.0063, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0029, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8252, kappa: 0.6064, kb_relative_information_score: 0.3597, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8286, number_of_instances: 601, precision: 0.826, predictive_accuracy: 0.8286, prior_entropy: 0.9274, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7691, unweighted_recall: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.9889, kb_relative_information_score: 0.9271, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4507, weighted_recall: 0.995, number_of_instances: 601, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9274, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.1838, unweighted_recall: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5281, kappa: 0.0094, kb_relative_information_score: 0.0061, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6589, number_of_instances: 601, precision: 0.6615, predictive_accuracy: 0.6589, prior_entropy: 0.9274, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9938, unweighted_recall: 0.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.5304, kappa: 0.0022, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6522, number_of_instances: 601, precision: 0.5569, predictive_accuracy: 0.6522, prior_entropy: 0.9274, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9962, unweighted_recall: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kb_relative_information_score: -0.0093, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0034, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5181, kappa: -0.0132, kb_relative_information_score: -0.013, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6506, number_of_instances: 601, precision: 0.4305, predictive_accuracy: 0.6506, prior_entropy: 0.9274, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0036, unweighted_recall: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9889, kb_relative_information_score: 0.8951, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4507, weighted_recall: 0.995, number_of_instances: 601, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9274, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2122, unweighted_recall: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.594, kappa: 0.0823, kb_relative_information_score: 0.035, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.601, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9837, unweighted_recall: 0.5353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.5278, kappa: -0.0076, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6473, number_of_instances: 601, precision: 0.529, predictive_accuracy: 0.6473, prior_entropy: 0.9274, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9943, unweighted_recall: 0.4971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8267, kappa: 0.6097, kb_relative_information_score: 0.3467, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8303, number_of_instances: 601, precision: 0.8278, predictive_accuracy: 0.8303, prior_entropy: 0.9274, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7877, unweighted_recall: 0.7942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, kb_relative_information_score: -0.009, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0036, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9751, kappa: 0.9447, kb_relative_information_score: 0.7773, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3805, unweighted_recall: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.5996, kappa: 0.0909, kb_relative_information_score: 0.1103, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6423, number_of_instances: 601, precision: 0.6015, predictive_accuracy: 0.6423, prior_entropy: 0.9274, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9376, unweighted_recall: 0.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, kb_relative_information_score: -0.0104, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0031, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9749, kappa: 0.9442, kb_relative_information_score: 0.7255, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4186, unweighted_recall: 0.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.899, kappa: 0.7737, kb_relative_information_score: 0.5737, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9002, number_of_instances: 601, precision: 0.8996, predictive_accuracy: 0.9002, prior_entropy: 0.9274, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.6206, unweighted_recall: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7494, kappa: 0.4298, kb_relative_information_score: 0.2214, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4507, weighted_recall: 0.772, number_of_instances: 601, precision: 0.7808, predictive_accuracy: 0.772, prior_entropy: 0.9274, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8528, unweighted_recall: 0.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5231, kappa: -0.0104, kb_relative_information_score: -0.0016, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6489, number_of_instances: 601, precision: 0.5069, predictive_accuracy: 0.6489, prior_entropy: 0.9274, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.994, unweighted_recall: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -0.0054, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0015, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7822, kappa: 0.509, kb_relative_information_score: 0.2995, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4507, weighted_recall: 0.787, number_of_instances: 601, precision: 0.7823, predictive_accuracy: 0.787, prior_entropy: 0.9274, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8163, unweighted_recall: 0.7451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8066, kappa: 0.5648, kb_relative_information_score: 0.4107, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8103, number_of_instances: 601, precision: 0.8069, predictive_accuracy: 0.8103, prior_entropy: 0.9274, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7341, unweighted_recall: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.675, kappa: 0.2623, kb_relative_information_score: 0.1887, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6889, number_of_instances: 601, precision: 0.6735, predictive_accuracy: 0.6889, prior_entropy: 0.9274, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9048, unweighted_recall: 0.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7233, kappa: 0.3727, kb_relative_information_score: 0.216, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7338, number_of_instances: 601, precision: 0.7241, predictive_accuracy: 0.7338, prior_entropy: 0.9274, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8713, unweighted_recall: 0.6755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9682, kappa: 0.9291, kb_relative_information_score: 0.6758, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9684, number_of_instances: 601, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9274, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4818, unweighted_recall: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -0.0063, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0007, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8194, kappa: 0.5902, kb_relative_information_score: 0.3186, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4507, weighted_recall: 0.827, number_of_instances: 601, precision: 0.828, predictive_accuracy: 0.827, prior_entropy: 0.9274, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7832, unweighted_recall: 0.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7577, kappa: 0.4486, kb_relative_information_score: 0.2355, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4507, weighted_recall: 0.772, number_of_instances: 601, precision: 0.7695, predictive_accuracy: 0.772, prior_entropy: 0.9274, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8432, unweighted_recall: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8634, kappa: 0.6934, kb_relative_information_score: 0.3693, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8652, number_of_instances: 601, precision: 0.8638, predictive_accuracy: 0.8652, prior_entropy: 0.9274, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.756, unweighted_recall: 0.8382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5356, kb_relative_information_score: -0.0104, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9996, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5481, f_measure: 0.5116, kappa: -0.0392, kb_relative_information_score: -0.0135, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6373, number_of_instances: 601, precision: 0.4274, predictive_accuracy: 0.6373, prior_entropy: 0.9274, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0031, unweighted_recall: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, kb_relative_information_score: -0.0038, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0008, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: 0.0027, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6273, number_of_instances: 601, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9274, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9961, unweighted_recall: 0.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8011, kappa: 0.5475, kb_relative_information_score: 0.2887, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4507, weighted_recall: 0.812, number_of_instances: 601, precision: 0.8153, predictive_accuracy: 0.812, prior_entropy: 0.9274, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8104, unweighted_recall: 0.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9751, kappa: 0.9447, kb_relative_information_score: 0.7399, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.412, unweighted_recall: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8418, kappa: 0.6454, kb_relative_information_score: 0.3723, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8436, number_of_instances: 601, precision: 0.8416, predictive_accuracy: 0.8436, prior_entropy: 0.9274, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7544, unweighted_recall: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9817, kappa: 0.9596, kb_relative_information_score: 0.8211, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9817, number_of_instances: 601, precision: 0.9819, predictive_accuracy: 0.9817, prior_entropy: 0.9274, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3326, unweighted_recall: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9319, kappa: 0.8491, kb_relative_information_score: 0.6145, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9318, number_of_instances: 601, precision: 0.9321, predictive_accuracy: 0.9318, prior_entropy: 0.9274, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5555, unweighted_recall: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -0.0072, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0013, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8491, kappa: 0.6569, kb_relative_information_score: 0.3529, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8569, number_of_instances: 601, precision: 0.8661, predictive_accuracy: 0.8569, prior_entropy: 0.9274, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7566, unweighted_recall: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9751, kappa: 0.9448, kb_relative_information_score: 0.7749, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3726, unweighted_recall: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7788, kappa: 0.4977, kb_relative_information_score: 0.2516, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7887, number_of_instances: 601, precision: 0.7857, predictive_accuracy: 0.7887, prior_entropy: 0.9274, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8495, unweighted_recall: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, kb_relative_information_score: -0.0074, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0032, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7543, kappa: 0.4441, kb_relative_information_score: 0.2465, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7621, number_of_instances: 601, precision: 0.7553, predictive_accuracy: 0.7621, prior_entropy: 0.9274, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8543, unweighted_recall: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.6027, kappa: 0.1092, kb_relative_information_score: 0.0659, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6639, number_of_instances: 601, precision: 0.6289, predictive_accuracy: 0.6639, prior_entropy: 0.9274, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9614, unweighted_recall: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.5273, kappa: 0.0061, kb_relative_information_score: 0.0196, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, precision: 0.604, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9819, unweighted_recall: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.5584, kappa: 0.041, kb_relative_information_score: 0.0327, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, precision: 0.6084, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9766, unweighted_recall: 0.5163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.5365, kappa: -0.0121, kb_relative_information_score: 0.0246, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6356, number_of_instances: 601, precision: 0.5343, predictive_accuracy: 0.6356, prior_entropy: 0.9274, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9858, unweighted_recall: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9783, kappa: 0.9516, kb_relative_information_score: 0.8191, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9784, number_of_instances: 601, precision: 0.9785, predictive_accuracy: 0.9784, prior_entropy: 0.9274, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3459, unweighted_recall: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.5322, kappa: 0.0088, kb_relative_information_score: -0.0027, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6556, number_of_instances: 601, precision: 0.5853, predictive_accuracy: 0.6556, prior_entropy: 0.9274, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9946, unweighted_recall: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7247, kappa: 0.3731, kb_relative_information_score: 0.1728, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7454, number_of_instances: 601, precision: 0.7407, predictive_accuracy: 0.7454, prior_entropy: 0.9274, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9011, unweighted_recall: 0.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9434, kappa: 0.8741, kb_relative_information_score: 0.5078, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9434, number_of_instances: 601, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9274, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6324, unweighted_recall: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.5339, kappa: 0.0154, kb_relative_information_score: 0.0022, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6589, number_of_instances: 601, precision: 0.6296, predictive_accuracy: 0.6589, prior_entropy: 0.9274, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9932, unweighted_recall: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -0.0076, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0024, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, kb_relative_information_score: -0.0078, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0014, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.5938, kappa: 0.0829, kb_relative_information_score: 0.1198, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6473, number_of_instances: 601, precision: 0.6026, predictive_accuracy: 0.6473, prior_entropy: 0.9274, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9225, unweighted_recall: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.58, kappa: 0.0509, kb_relative_information_score: 0.0687, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6339, number_of_instances: 601, precision: 0.5815, predictive_accuracy: 0.6339, prior_entropy: 0.9274, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9655, unweighted_recall: 0.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8107, kappa: 0.5773, kb_relative_information_score: 0.3552, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.812, number_of_instances: 601, precision: 0.81, predictive_accuracy: 0.812, prior_entropy: 0.9274, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7821, unweighted_recall: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5258, kb_relative_information_score: -0.0153, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0048, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: -0.0005, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6572, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9274, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, unweighted_recall: 0.5,

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