OpenML
Supervised Classification on cjs

Supervised Classification on cjs

Task 14967 Supervised Classification cjs 10925 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9875, kappa: 0.9847, kb_relative_information_score: 2692.0673, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 2.5207, recall: 0.9875, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9838, kb_relative_information_score: 2689.8783, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9873, predictive_accuracy: 0.9868, prior_entropy: 2.5207, recall: 0.9868, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.1858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9836, kappa: 0.9799, kb_relative_information_score: 2579.4356, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9839, predictive_accuracy: 0.9835, prior_entropy: 2.5207, recall: 0.9835, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.2507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9821, kb_relative_information_score: 2687.8983, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9855, predictive_accuracy: 0.9853, prior_entropy: 2.5207, recall: 0.9853, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.1902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9811, kappa: 0.9769, kb_relative_information_score: 2685.7767, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 2.5207, recall: 0.981, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8912, kappa: 0.8667, kb_relative_information_score: 2354.7076, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.892, predictive_accuracy: 0.8909, prior_entropy: 2.5207, recall: 0.8909, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9857, kappa: 0.9825, kb_relative_information_score: 2683.4634, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 2.5207, recall: 0.9857, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.1961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.985, kappa: 0.9817, kb_relative_information_score: 2699.1622, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 2.5207, recall: 0.985, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.1863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9851, kappa: 0.9817, kb_relative_information_score: 2694.8625, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9853, predictive_accuracy: 0.985, prior_entropy: 2.5207, recall: 0.985, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.1878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9832, kappa: 0.9795, kb_relative_information_score: 2650.3992, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 2.5207, recall: 0.9832, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.4314, kappa: 0.3545, kb_relative_information_score: 506.2157, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.5017, predictive_accuracy: 0.4932, prior_entropy: 2.5207, recall: 0.4932, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9875, kappa: 0.9847, kb_relative_information_score: 2698.1858, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 2.5207, recall: 0.9875, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.1834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.985, kappa: 0.9817, kb_relative_information_score: 2702.6358, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9852, predictive_accuracy: 0.985, prior_entropy: 2.5207, recall: 0.985, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9843, kappa: 0.9808, kb_relative_information_score: 2691.3087, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 2.5207, recall: 0.9843, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.1958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9878, kappa: 0.9851, kb_relative_information_score: 2696.6641, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 2.5207, recall: 0.9878, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.1847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.5399, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3694, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9807, kappa: 0.9764, kb_relative_information_score: 2688.1357, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9808, predictive_accuracy: 0.9807, prior_entropy: 2.5207, recall: 0.9807, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9871, kappa: 0.9843, kb_relative_information_score: 2708.5081, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9872, predictive_accuracy: 0.9871, prior_entropy: 2.5207, recall: 0.9871, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.1754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9864, kappa: 0.9834, kb_relative_information_score: 2704.2042, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 2.5207, recall: 0.9864, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9882, kappa: 0.9856, kb_relative_information_score: 2705.5727, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9883, predictive_accuracy: 0.9882, prior_entropy: 2.5207, recall: 0.9882, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.1761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9875, kappa: 0.9847, kb_relative_information_score: 2700.5812, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 2.5207, recall: 0.9875, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9807, kappa: 0.9764, kb_relative_information_score: 2688.1357, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9808, predictive_accuracy: 0.9807, prior_entropy: 2.5207, recall: 0.9807, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9872, kappa: 0.9843, kb_relative_information_score: 2694.3832, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9873, predictive_accuracy: 0.9871, prior_entropy: 2.5207, recall: 0.9871, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.1853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9838, kb_relative_information_score: 2689.8783, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9873, predictive_accuracy: 0.9868, prior_entropy: 2.5207, recall: 0.9868, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.1858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9836, kappa: 0.9799, kb_relative_information_score: 2685.4795, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9838, predictive_accuracy: 0.9835, prior_entropy: 2.5207, recall: 0.9835, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.1997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9875, kappa: 0.9847, kb_relative_information_score: 2688.7844, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 2.5207, recall: 0.9875, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.1931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9872, kappa: 0.9843, kb_relative_information_score: 2684.575, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9873, predictive_accuracy: 0.9871, prior_entropy: 2.5207, recall: 0.9871, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9843, kappa: 0.9808, kb_relative_information_score: 2687.1314, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 2.5207, recall: 0.9843, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9857, kappa: 0.9825, kb_relative_information_score: 2699.6914, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.986, predictive_accuracy: 0.9857, prior_entropy: 2.5207, recall: 0.9857, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9843, kappa: 0.9808, kb_relative_information_score: 2691.3087, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 2.5207, recall: 0.9843, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.1958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9864, kappa: 0.9834, kb_relative_information_score: 2681.3621, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9866, predictive_accuracy: 0.9864, prior_entropy: 2.5207, recall: 0.9864, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.1947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9871, kappa: 0.9843, kb_relative_information_score: 2690.2809, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9872, predictive_accuracy: 0.9871, prior_entropy: 2.5207, recall: 0.9871, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.1883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.7833, kappa: 0.712, kb_relative_information_score: 1927.5923, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8541, predictive_accuracy: 0.7629, prior_entropy: 2.5207, recall: 0.7629, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.5879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9843, kappa: 0.9808, kb_relative_information_score: 2687.1314, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 2.5207, recall: 0.9843, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9857, kappa: 0.9825, kb_relative_information_score: 2683.4634, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 2.5207, recall: 0.9857, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.1961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9875, kappa: 0.9847, kb_relative_information_score: 2688.7844, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 2.5207, recall: 0.9875, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.1931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9872, kappa: 0.9843, kb_relative_information_score: 2684.575, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9873, predictive_accuracy: 0.9871, prior_entropy: 2.5207, recall: 0.9871, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9357, kappa: 0.9202, kb_relative_information_score: 2389.4601, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9383, predictive_accuracy: 0.9345, prior_entropy: 2.5207, recall: 0.9345, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9871, kappa: 0.9843, kb_relative_information_score: 2709.4569, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9872, predictive_accuracy: 0.9871, prior_entropy: 2.5207, recall: 0.9871, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.065, root_relative_squared_error: 0.1759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9653, kappa: 0.9572, kb_relative_information_score: 2544.2147, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9663, predictive_accuracy: 0.9649, prior_entropy: 2.5207, recall: 0.9649, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9864, kappa: 0.9834, kb_relative_information_score: 2704.2042, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 2.5207, recall: 0.9864, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9273, kappa: 0.9101, kb_relative_information_score: 2354.1404, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9288, predictive_accuracy: 0.9263, prior_entropy: 2.5207, recall: 0.9263, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9462, kappa: 0.9333, kb_relative_information_score: 2446.4448, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.948, predictive_accuracy: 0.9453, prior_entropy: 2.5207, recall: 0.9453, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9864, kappa: 0.9834, kb_relative_information_score: 2681.3621, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9866, predictive_accuracy: 0.9864, prior_entropy: 2.5207, recall: 0.9864, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.1947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9886, kappa: 0.986, kb_relative_information_score: 2686.1765, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 2.5207, recall: 0.9886, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.1872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9875, kappa: 0.9847, kb_relative_information_score: 2700.5812, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 2.5207, recall: 0.9875, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.5399, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3694, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9857, kappa: 0.9825, kb_relative_information_score: 2699.6914, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.986, predictive_accuracy: 0.9857, prior_entropy: 2.5207, recall: 0.9857, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8974, kappa: 0.8735, kb_relative_information_score: 2251.5082, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8991, predictive_accuracy: 0.8963, prior_entropy: 2.5207, recall: 0.8963, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9101, kappa: 0.8888, kb_relative_information_score: 2282.4491, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.912, predictive_accuracy: 0.9088, prior_entropy: 2.5207, recall: 0.9088, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.4342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9836, kappa: 0.9799, kb_relative_information_score: 2685.4795, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9838, predictive_accuracy: 0.9835, prior_entropy: 2.5207, recall: 0.9835, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.1997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.985, kappa: 0.9817, kb_relative_information_score: 2669.4834, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9851, predictive_accuracy: 0.985, prior_entropy: 2.5207, recall: 0.985, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9821, kb_relative_information_score: 2687.8983, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9855, predictive_accuracy: 0.9853, prior_entropy: 2.5207, recall: 0.9853, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.1902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9794, kappa: 0.9747, kb_relative_information_score: 2626.2186, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9798, predictive_accuracy: 0.9793, prior_entropy: 2.5207, recall: 0.9793, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9872, kappa: 0.9843, kb_relative_information_score: 2694.3832, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9873, predictive_accuracy: 0.9871, prior_entropy: 2.5207, recall: 0.9871, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.1853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9907, kappa: 0.9886, kb_relative_information_score: 2712.8175, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 2.5207, recall: 0.9907, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9857, kappa: 0.9825, kb_relative_information_score: 2701.8976, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9859, predictive_accuracy: 0.9857, prior_entropy: 2.5207, recall: 0.9857, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9437, kb_relative_information_score: 2476.8922, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9552, predictive_accuracy: 0.9539, prior_entropy: 2.5207, recall: 0.9539, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9851, kappa: 0.9817, kb_relative_information_score: 2694.8625, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9853, predictive_accuracy: 0.985, prior_entropy: 2.5207, recall: 0.985, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.1878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9154, kappa: 0.8953, kb_relative_information_score: 2308.6996, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9172, predictive_accuracy: 0.9142, prior_entropy: 2.5207, recall: 0.9142, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.156, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9875, kappa: 0.9847, kb_relative_information_score: 2698.1858, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 2.5207, recall: 0.9875, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.1834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9268, kappa: 0.9097, kb_relative_information_score: 2311.0066, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9284, predictive_accuracy: 0.926, prior_entropy: 2.5207, recall: 0.926, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9794, kappa: 0.9747, kb_relative_information_score: 2626.2186, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9798, predictive_accuracy: 0.9793, prior_entropy: 2.5207, recall: 0.9793, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9633, kappa: 0.955, kb_relative_information_score: 2523.9551, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9639, predictive_accuracy: 0.9632, prior_entropy: 2.5207, recall: 0.9632, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9751, kappa: 0.9694, kb_relative_information_score: 2580.6911, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9758, predictive_accuracy: 0.975, prior_entropy: 2.5207, recall: 0.975, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9641, kappa: 0.9559, kb_relative_information_score: 2512.6865, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9647, predictive_accuracy: 0.9639, prior_entropy: 2.5207, recall: 0.9639, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9633, kappa: 0.955, kb_relative_information_score: 2523.9551, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9639, predictive_accuracy: 0.9632, prior_entropy: 2.5207, recall: 0.9632, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9755, kappa: 0.9699, kb_relative_information_score: 2591.8832, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9762, predictive_accuracy: 0.9753, prior_entropy: 2.5207, recall: 0.9753, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.2579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9273, kappa: 0.9101, kb_relative_information_score: 2354.1404, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9288, predictive_accuracy: 0.9263, prior_entropy: 2.5207, recall: 0.9263, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.7054, kappa: 0.6495, kb_relative_information_score: 1126.6461, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.719, predictive_accuracy: 0.7175, prior_entropy: 2.5207, recall: 0.7175, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9404, kappa: 0.9263, kb_relative_information_score: 2410.7279, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9424, predictive_accuracy: 0.9396, prior_entropy: 2.5207, recall: 0.9396, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9886, kappa: 0.986, kb_relative_information_score: 2686.1765, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 2.5207, recall: 0.9886, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.1872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9751, kappa: 0.9694, kb_relative_information_score: 2580.6911, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9758, predictive_accuracy: 0.975, prior_entropy: 2.5207, recall: 0.975, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9907, kappa: 0.9886, kb_relative_information_score: 2712.8175, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 2.5207, recall: 0.9907, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9747, kappa: 0.969, kb_relative_information_score: 2610.2512, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9751, predictive_accuracy: 0.9746, prior_entropy: 2.5207, recall: 0.9746, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.2447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9801, kappa: 0.9756, kb_relative_information_score: 2623.2422, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9804, predictive_accuracy: 0.98, prior_entropy: 2.5207, recall: 0.98, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9404, kappa: 0.9263, kb_relative_information_score: 2410.7279, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9424, predictive_accuracy: 0.9396, prior_entropy: 2.5207, recall: 0.9396, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9747, kappa: 0.969, kb_relative_information_score: 2610.2512, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9751, predictive_accuracy: 0.9746, prior_entropy: 2.5207, recall: 0.9746, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.2447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9836, kappa: 0.9799, kb_relative_information_score: 2579.4356, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9839, predictive_accuracy: 0.9835, prior_entropy: 2.5207, recall: 0.9835, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.2507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.986, kappa: 0.983, kb_relative_information_score: 2704.1902, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.5207, recall: 0.9861, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.1797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9154, kappa: 0.8953, kb_relative_information_score: 2308.6996, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9172, predictive_accuracy: 0.9142, prior_entropy: 2.5207, recall: 0.9142, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.156, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9462, kappa: 0.9333, kb_relative_information_score: 2446.4448, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.948, predictive_accuracy: 0.9453, prior_entropy: 2.5207, recall: 0.9453, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9811, kappa: 0.9769, kb_relative_information_score: 2685.7767, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 2.5207, recall: 0.981, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9101, kappa: 0.8888, kb_relative_information_score: 2282.4491, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.912, predictive_accuracy: 0.9088, prior_entropy: 2.5207, recall: 0.9088, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.4342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.985, kappa: 0.9817, kb_relative_information_score: 2699.1622, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 2.5207, recall: 0.985, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.1863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9641, kappa: 0.9559, kb_relative_information_score: 2512.6865, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9647, predictive_accuracy: 0.9639, prior_entropy: 2.5207, recall: 0.9639, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9886, kappa: 0.986, kb_relative_information_score: 2659.3499, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9887, predictive_accuracy: 0.9886, prior_entropy: 2.5207, recall: 0.9886, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9437, kb_relative_information_score: 2476.8922, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9552, predictive_accuracy: 0.9539, prior_entropy: 2.5207, recall: 0.9539, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9864, kappa: 0.9834, kb_relative_information_score: 2703.879, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9866, predictive_accuracy: 0.9864, prior_entropy: 2.5207, recall: 0.9864, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9268, kappa: 0.9097, kb_relative_information_score: 2311.0066, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9284, predictive_accuracy: 0.926, prior_entropy: 2.5207, recall: 0.926, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9875, kappa: 0.9847, kb_relative_information_score: 2692.0673, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 2.5207, recall: 0.9875, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9755, kappa: 0.9699, kb_relative_information_score: 2591.8832, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9762, predictive_accuracy: 0.9753, prior_entropy: 2.5207, recall: 0.9753, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.2579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9868, kappa: 0.9838, kb_relative_information_score: 2700.7764, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 2.5207, recall: 0.9868, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9357, kappa: 0.9202, kb_relative_information_score: 2389.4601, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9383, predictive_accuracy: 0.9345, prior_entropy: 2.5207, recall: 0.9345, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9875, kappa: 0.9847, kb_relative_information_score: 2707.8565, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 2.5207, recall: 0.9875, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.1777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8974, kappa: 0.8735, kb_relative_information_score: 2251.5082, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8991, predictive_accuracy: 0.8963, prior_entropy: 2.5207, recall: 0.8963, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, kappa: 0.0788, kb_relative_information_score: 275.3175, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2808, prior_entropy: 2.5207, recall: 0.2808, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9871, kappa: 0.9843, kb_relative_information_score: 2708.5081, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9872, predictive_accuracy: 0.9871, prior_entropy: 2.5207, recall: 0.9871, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.1754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9801, kappa: 0.9756, kb_relative_information_score: 2623.2422, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9804, predictive_accuracy: 0.98, prior_entropy: 2.5207, recall: 0.98, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9882, kappa: 0.9856, kb_relative_information_score: 2705.5727, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9883, predictive_accuracy: 0.9882, prior_entropy: 2.5207, recall: 0.9882, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.1761,

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

OpenML APIs