Task
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 34784 runs submitted
2 likes downloaded by 2 people , 5 total downloads 0 issues
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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34784 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9732, kappa: 0.9721, kb_relative_information_score: 0.9777, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 4.6998, recall: 0.9732, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9714, kappa: 0.9702, kb_relative_information_score: 0.9758, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 4.6998, recall: 0.9714, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.2192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0268, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0383, prior_entropy: 4.6998, recall: 0.0383, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0268, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0384, prior_entropy: 4.6998, recall: 0.0384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9477, kappa: 0.9456, kb_relative_information_score: 0.9556, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9478, predictive_accuracy: 0.9477, prior_entropy: 4.6998, recall: 0.9477, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.2937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0384, prior_entropy: 4.6998, recall: 0.0384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.5302, kappa: 0.5283, kb_relative_information_score: 0.2286, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6007, predictive_accuracy: 0.5466, prior_entropy: 4.6998, recall: 0.5466, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9681, kappa: 0.9668, kb_relative_information_score: 0.9728, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9683, predictive_accuracy: 0.9681, prior_entropy: 4.6998, recall: 0.9681, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.2301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9184, kappa: 0.9151, kb_relative_information_score: 0.9257, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9185, predictive_accuracy: 0.9184, prior_entropy: 4.6998, recall: 0.9184, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.94, kappa: 0.9375, kb_relative_information_score: 0.9294, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9404, predictive_accuracy: 0.94, prior_entropy: 4.6998, recall: 0.94, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.3182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9622, kappa: 0.9607, kb_relative_information_score: 0.9662, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.9622, prior_entropy: 4.6998, recall: 0.9622, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.2426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9731, kappa: 0.972, kb_relative_information_score: 0.9777, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9732, predictive_accuracy: 0.9731, prior_entropy: 4.6998, recall: 0.9731, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.2093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9715, kappa: 0.9704, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 4.6998, recall: 0.9715, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9385, kappa: 0.936, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9388, predictive_accuracy: 0.9385, prior_entropy: 4.6998, recall: 0.9385, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.3185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.87, kappa: 0.864, kb_relative_information_score: 0.8398, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.873, predictive_accuracy: 0.8693, prior_entropy: 4.6998, recall: 0.8693, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9481, kappa: 0.946, kb_relative_information_score: 0.9453, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9484, predictive_accuracy: 0.9481, prior_entropy: 4.6998, recall: 0.9481, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.2918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8199, kappa: 0.8115, kb_relative_information_score: 0.7798, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8255, predictive_accuracy: 0.8188, prior_entropy: 4.6998, recall: 0.8188, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.5494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9702, kappa: 0.969, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 4.6998, recall: 0.9702, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9742, kappa: 0.9731, kb_relative_information_score: 0.9782, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 4.6998, recall: 0.9742, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.2086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9224, kappa: 0.9191, kb_relative_information_score: 0.9086, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9232, predictive_accuracy: 0.9223, prior_entropy: 4.6998, recall: 0.9223, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9484, kappa: 0.9462, kb_relative_information_score: 0.9343, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9488, predictive_accuracy: 0.9483, prior_entropy: 4.6998, recall: 0.9483, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.3035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9526, kappa: 0.9506, kb_relative_information_score: 0.9465, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9528, predictive_accuracy: 0.9526, prior_entropy: 4.6998, recall: 0.9526, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.0271, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0388, prior_entropy: 4.6998, recall: 0.0388, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0271, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0387, prior_entropy: 4.6998, recall: 0.0387, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.705, kappa: 0.6937, kb_relative_information_score: 0.4202, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7202, predictive_accuracy: 0.7056, prior_entropy: 4.6998, recall: 0.7056, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9693, kappa: 0.968, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9694, predictive_accuracy: 0.9693, prior_entropy: 4.6998, recall: 0.9693, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.5968, kappa: 0.5863, kb_relative_information_score: 0.1773, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6368, predictive_accuracy: 0.6023, prior_entropy: 4.6998, recall: 0.6023, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0274, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0392, prior_entropy: 4.6998, recall: 0.0392, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9707, kappa: 0.9695, kb_relative_information_score: 0.9746, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 4.6998, recall: 0.9707, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.2163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9535, kappa: 0.9516, kb_relative_information_score: 0.9517, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9537, predictive_accuracy: 0.9535, prior_entropy: 4.6998, recall: 0.9535, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.2738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.7506, kappa: 0.7407, kb_relative_information_score: 0.7477, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7506, predictive_accuracy: 0.7507, prior_entropy: 4.6998, recall: 0.7507, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9726, kappa: 0.9715, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9727, predictive_accuracy: 0.9726, prior_entropy: 4.6998, recall: 0.9726, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.2117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9254, kappa: 0.9223, kb_relative_information_score: 0.9075, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9261, predictive_accuracy: 0.9253, prior_entropy: 4.6998, recall: 0.9253, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.069, root_relative_squared_error: 0.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9716, kappa: 0.9705, kb_relative_information_score: 0.9763, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9717, predictive_accuracy: 0.9716, prior_entropy: 4.6998, recall: 0.9716, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8987, kappa: 0.8697, kb_relative_information_score: 0.8785, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9422, predictive_accuracy: 0.8747, prior_entropy: 4.6998, recall: 0.8747, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9484, kappa: 0.9463, kb_relative_information_score: 0.9526, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9485, predictive_accuracy: 0.9484, prior_entropy: 4.6998, recall: 0.9484, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.054, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9738, kappa: 0.9727, kb_relative_information_score: 0.9783, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 4.6998, recall: 0.9738, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.04, root_relative_squared_error: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.806, kappa: 0.7968, kb_relative_information_score: 0.7591, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8132, predictive_accuracy: 0.8046, prior_entropy: 4.6998, recall: 0.8046, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.5703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.8222, kappa: 0.7715, kb_relative_information_score: 0.7817, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9095, predictive_accuracy: 0.7803, prior_entropy: 4.6998, recall: 0.7803, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0274, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0393, prior_entropy: 4.6998, recall: 0.0393, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9684, kappa: 0.9671, kb_relative_information_score: 0.9739, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9686, predictive_accuracy: 0.9684, prior_entropy: 4.6998, recall: 0.9684, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.2228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0271, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0387, prior_entropy: 4.6998, recall: 0.0387, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0268, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0383, prior_entropy: 4.6998, recall: 0.0383, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.5768, kappa: 0.567, kb_relative_information_score: 0.6267, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5838, predictive_accuracy: 0.5837, prior_entropy: 4.6998, recall: 0.5837, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9696, kappa: 0.9684, kb_relative_information_score: 0.9739, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 4.6998, recall: 0.9696, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0426, root_relative_squared_error: 0.2215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9469, kappa: 0.9447, kb_relative_information_score: 0.9311, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9472, predictive_accuracy: 0.9468, prior_entropy: 4.6998, recall: 0.9468, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.7504, kappa: 0.7388, kb_relative_information_score: 0.6782, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7598, predictive_accuracy: 0.7489, prior_entropy: 4.6998, recall: 0.7489, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8751, kappa: 0.8702, kb_relative_information_score: 0.8661, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8762, predictive_accuracy: 0.8752, prior_entropy: 4.6998, recall: 0.8752, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9096, kappa: 0.9059, kb_relative_information_score: 0.5945, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9102, predictive_accuracy: 0.9095, prior_entropy: 4.6998, recall: 0.9095, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9162, kappa: 0.9015, kb_relative_information_score: 0.9041, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9394, predictive_accuracy: 0.9053, prior_entropy: 4.6998, recall: 0.9053, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.4439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9659, kappa: 0.9645, kb_relative_information_score: 0.9654, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.966, predictive_accuracy: 0.9659, prior_entropy: 4.6998, recall: 0.9659, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9621, kappa: 0.9606, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9624, predictive_accuracy: 0.9622, prior_entropy: 4.6998, recall: 0.9622, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.054, root_relative_squared_error: 0.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9655, kappa: 0.9642, kb_relative_information_score: 0.965, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9657, predictive_accuracy: 0.9656, prior_entropy: 4.6998, recall: 0.9656, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9658, kappa: 0.9645, kb_relative_information_score: 0.9654, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.966, predictive_accuracy: 0.9659, prior_entropy: 4.6998, recall: 0.9659, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.2665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9658, kappa: 0.9645, kb_relative_information_score: 0.9654, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.966, predictive_accuracy: 0.9659, prior_entropy: 4.6998, recall: 0.9659, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.2665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9662, kappa: 0.9649, kb_relative_information_score: 0.9658, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9664, predictive_accuracy: 0.9663, prior_entropy: 4.6998, recall: 0.9663, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.051, root_relative_squared_error: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9655, kappa: 0.9642, kb_relative_information_score: 0.965, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9658, predictive_accuracy: 0.9656, prior_entropy: 4.6998, recall: 0.9656, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9655, kappa: 0.9642, kb_relative_information_score: 0.9651, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9657, predictive_accuracy: 0.9656, prior_entropy: 4.6998, recall: 0.9656, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8962, kappa: 0.8685, kb_relative_information_score: 0.872, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9388, predictive_accuracy: 0.8736, prior_entropy: 4.6998, recall: 0.8736, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.967, kappa: 0.9657, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9672, predictive_accuracy: 0.967, prior_entropy: 4.6998, recall: 0.967, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9653, kappa: 0.964, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9655, predictive_accuracy: 0.9654, prior_entropy: 4.6998, recall: 0.9654, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.2683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9662, kappa: 0.9648, kb_relative_information_score: 0.9657, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9664, predictive_accuracy: 0.9662, prior_entropy: 4.6998, recall: 0.9662, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.051, root_relative_squared_error: 0.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.743, kappa: 0.6742, kb_relative_information_score: 0.6829, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8763, predictive_accuracy: 0.6867, prior_entropy: 4.6998, recall: 0.6867, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9665, kappa: 0.9652, kb_relative_information_score: 0.9661, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9667, predictive_accuracy: 0.9666, prior_entropy: 4.6998, recall: 0.9666, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.2638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9654, kappa: 0.964, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9655, predictive_accuracy: 0.9654, prior_entropy: 4.6998, recall: 0.9654, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.2683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7562, kappa: 0.6785, kb_relative_information_score: 0.6871, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.896, predictive_accuracy: 0.691, prior_entropy: 4.6998, recall: 0.691, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9669, kappa: 0.9656, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9671, predictive_accuracy: 0.967, prior_entropy: 4.6998, recall: 0.967, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.2622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8208, kappa: 0.7704, kb_relative_information_score: 0.7766, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9067, predictive_accuracy: 0.7792, prior_entropy: 4.6998, recall: 0.7792, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9651, kappa: 0.9638, kb_relative_information_score: 0.9647, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9653, predictive_accuracy: 0.9652, prior_entropy: 4.6998, recall: 0.9652, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.2692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9658, kappa: 0.9644, kb_relative_information_score: 0.9653, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.966, predictive_accuracy: 0.9658, prior_entropy: 4.6998, recall: 0.9658, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8945, kappa: 0.8678, kb_relative_information_score: 0.8713, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9362, predictive_accuracy: 0.873, prior_entropy: 4.6998, recall: 0.873, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8945, kappa: 0.8678, kb_relative_information_score: 0.8713, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9362, predictive_accuracy: 0.873, prior_entropy: 4.6998, recall: 0.873, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.966, kappa: 0.9647, kb_relative_information_score: 0.9656, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9662, predictive_accuracy: 0.9661, prior_entropy: 4.6998, recall: 0.9661, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.2657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.966, kappa: 0.9647, kb_relative_information_score: 0.9656, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9662, predictive_accuracy: 0.9661, prior_entropy: 4.6998, recall: 0.9661, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.2657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9662, kappa: 0.9649, kb_relative_information_score: 0.9658, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9665, predictive_accuracy: 0.9663, prior_entropy: 4.6998, recall: 0.9663, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.051, root_relative_squared_error: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9662, kappa: 0.9649, kb_relative_information_score: 0.9658, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9665, predictive_accuracy: 0.9663, prior_entropy: 4.6998, recall: 0.9663, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.051, root_relative_squared_error: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.878, kappa: 0.8729, kb_relative_information_score: 0.876, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.886, predictive_accuracy: 0.8778, prior_entropy: 4.6998, recall: 0.8778, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.097, root_relative_squared_error: 0.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.878, kappa: 0.8729, kb_relative_information_score: 0.876, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.886, predictive_accuracy: 0.8778, prior_entropy: 4.6998, recall: 0.8778, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.097, root_relative_squared_error: 0.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.824, kappa: 0.8017, kb_relative_information_score: 0.8068, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8574, predictive_accuracy: 0.8094, prior_entropy: 4.6998, recall: 0.8094, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.824, kappa: 0.8017, kb_relative_information_score: 0.8068, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8574, predictive_accuracy: 0.8094, prior_entropy: 4.6998, recall: 0.8094, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9657, kappa: 0.9643, kb_relative_information_score: 0.9652, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9658, predictive_accuracy: 0.9657, prior_entropy: 4.6998, recall: 0.9657, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.2671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9657, kappa: 0.9643, kb_relative_information_score: 0.9652, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9658, predictive_accuracy: 0.9657, prior_entropy: 4.6998, recall: 0.9657, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.2671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.962, kappa: 0.9606, kb_relative_information_score: 0.9615, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.9621, prior_entropy: 4.6998, recall: 0.9621, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.054, root_relative_squared_error: 0.2808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.962, kappa: 0.9606, kb_relative_information_score: 0.9615, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.9621, prior_entropy: 4.6998, recall: 0.9621, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.054, root_relative_squared_error: 0.2808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8155, kappa: 0.7907, kb_relative_information_score: 0.796, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8534, predictive_accuracy: 0.7988, prior_entropy: 4.6998, recall: 0.7988, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8155, kappa: 0.7907, kb_relative_information_score: 0.796, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8534, predictive_accuracy: 0.7988, prior_entropy: 4.6998, recall: 0.7988, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7496, kappa: 0.7057, kb_relative_information_score: 0.7134, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8234, predictive_accuracy: 0.717, prior_entropy: 4.6998, recall: 0.717, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7496, kappa: 0.7057, kb_relative_information_score: 0.7134, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8234, predictive_accuracy: 0.717, prior_entropy: 4.6998, recall: 0.717, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8749, kappa: 0.8696, kb_relative_information_score: 0.8728, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8828, predictive_accuracy: 0.8747, prior_entropy: 4.6998, recall: 0.8747, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.5106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8749, kappa: 0.8696, kb_relative_information_score: 0.8728, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8828, predictive_accuracy: 0.8747, prior_entropy: 4.6998, recall: 0.8747, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.5106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8768, kappa: 0.8715, kb_relative_information_score: 0.8747, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8838, predictive_accuracy: 0.8765, prior_entropy: 4.6998, recall: 0.8765, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8768, kappa: 0.8715, kb_relative_information_score: 0.8747, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8838, predictive_accuracy: 0.8765, prior_entropy: 4.6998, recall: 0.8765, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9657, kappa: 0.9643, kb_relative_information_score: 0.9652, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 4.6998, recall: 0.9657, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.2671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9657, kappa: 0.9643, kb_relative_information_score: 0.9652, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 4.6998, recall: 0.9657, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.2671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8767, kappa: 0.8713, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8826, predictive_accuracy: 0.8763, prior_entropy: 4.6998, recall: 0.8763, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8767, kappa: 0.8713, kb_relative_information_score: 0.8745, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8826, predictive_accuracy: 0.8763, prior_entropy: 4.6998, recall: 0.8763, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8755, kappa: 0.8704, kb_relative_information_score: 0.8735, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.883, predictive_accuracy: 0.8754, prior_entropy: 4.6998, recall: 0.8754, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8755, kappa: 0.8704, kb_relative_information_score: 0.8735, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.883, predictive_accuracy: 0.8754, prior_entropy: 4.6998, recall: 0.8754, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8777, kappa: 0.8726, kb_relative_information_score: 0.8757, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8834, predictive_accuracy: 0.8775, prior_entropy: 4.6998, recall: 0.8775, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8777, kappa: 0.8726, kb_relative_information_score: 0.8757, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8834, predictive_accuracy: 0.8775, prior_entropy: 4.6998, recall: 0.8775, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.5048,

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