Task
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35040 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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35040 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8737, kappa: 0.8261, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9481, predictive_accuracy: 0.8329, prior_entropy: 4.6998, recall: 0.8329, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8539, kappa: 0.8479, kb_relative_information_score: 0.8517, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8553, predictive_accuracy: 0.8538, prior_entropy: 4.6998, recall: 0.8538, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.106, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9179, kappa: 0.899, kb_relative_information_score: 0.9016, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9488, predictive_accuracy: 0.9029, prior_entropy: 4.6998, recall: 0.9029, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.4494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9445, kappa: 0.9379, kb_relative_information_score: 0.9395, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9547, predictive_accuracy: 0.9403, prior_entropy: 4.6998, recall: 0.9403, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9734, kappa: 0.9723, kb_relative_information_score: 0.973, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 4.6998, recall: 0.9734, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9662, 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: 0.9664, 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: 0.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.2267, kappa: 0.1867, kb_relative_information_score: 0.2085, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.3251, predictive_accuracy: 0.2183, prior_entropy: 4.6998, recall: 0.2183, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2452, root_relative_squared_error: 1.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9716, kappa: 0.9705, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9718, predictive_accuracy: 0.9716, prior_entropy: 4.6998, recall: 0.9716, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9724, kappa: 0.9713, kb_relative_information_score: 0.972, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9726, predictive_accuracy: 0.9724, prior_entropy: 4.6998, recall: 0.9724, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9652, 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: 0.9655, 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: 0.8542, f_measure: 0.7198, kappa: 0.7084, kb_relative_information_score: 0.7162, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7324, predictive_accuracy: 0.7197, prior_entropy: 4.6998, recall: 0.7197, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9728, kappa: 0.9717, kb_relative_information_score: 0.9724, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 4.6998, recall: 0.9728, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.2381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9408, kappa: 0.9384, kb_relative_information_score: 0.9401, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9414, predictive_accuracy: 0.9408, prior_entropy: 4.6998, recall: 0.9408, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7742, kappa: 0.7632, kb_relative_information_score: 0.7692, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7847, predictive_accuracy: 0.7724, prior_entropy: 4.6998, recall: 0.7724, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8528, kappa: 0.8466, kb_relative_information_score: 0.8505, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8544, predictive_accuracy: 0.8526, prior_entropy: 4.6998, recall: 0.8526, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.5538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9714, kappa: 0.9703, kb_relative_information_score: 0.971, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9715, predictive_accuracy: 0.9714, prior_entropy: 4.6998, recall: 0.9714, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.2439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8159, kappa: 0.8093, kb_relative_information_score: 0.8143, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8199, predictive_accuracy: 0.8166, prior_entropy: 4.6998, recall: 0.8166, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.6176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9641, kappa: 0.9627, kb_relative_information_score: 0.9636, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9643, predictive_accuracy: 0.9641, prior_entropy: 4.6998, recall: 0.9641, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.2733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9617, kappa: 0.9601, kb_relative_information_score: 0.9611, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9619, predictive_accuracy: 0.9617, prior_entropy: 4.6998, recall: 0.9617, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.2824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9609, kappa: 0.9593, kb_relative_information_score: 0.9604, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9611, predictive_accuracy: 0.9609, prior_entropy: 4.6998, recall: 0.9609, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.2852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9611, kappa: 0.9595, kb_relative_information_score: 0.9606, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9613, predictive_accuracy: 0.9611, prior_entropy: 4.6998, recall: 0.9611, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9069, kappa: 0.9027, kb_relative_information_score: 0.9051, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9093, predictive_accuracy: 0.9064, prior_entropy: 4.6998, recall: 0.9064, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9387, kappa: 0.936, kb_relative_information_score: 0.9376, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9397, predictive_accuracy: 0.9385, prior_entropy: 4.6998, recall: 0.9385, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9399, kappa: 0.9373, kb_relative_information_score: 0.9389, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.941, predictive_accuracy: 0.9397, prior_entropy: 4.6998, recall: 0.9397, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.3542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9584, kappa: 0.9566, kb_relative_information_score: 0.9577, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 4.6998, recall: 0.9583, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.2945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9573, kappa: 0.9555, kb_relative_information_score: 0.9566, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9577, predictive_accuracy: 0.9572, prior_entropy: 4.6998, recall: 0.9572, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.2984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8804, kappa: 0.8486, kb_relative_information_score: 0.8525, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9351, predictive_accuracy: 0.8545, prior_entropy: 4.6998, recall: 0.8545, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.5502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9158, kappa: 0.8959, kb_relative_information_score: 0.8986, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9483, predictive_accuracy: 0.9, prior_entropy: 4.6998, recall: 0.9, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.4562,
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: 0.8919, f_measure: 0.8092, kappa: 0.7839, kb_relative_information_score: 0.7894, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8497, predictive_accuracy: 0.7922, prior_entropy: 4.6998, recall: 0.7922, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.6574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8092, kappa: 0.7839, kb_relative_information_score: 0.7894, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8497, predictive_accuracy: 0.7922, prior_entropy: 4.6998, recall: 0.7922, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.6574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8747, kappa: 0.8697, kb_relative_information_score: 0.8729, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8821, predictive_accuracy: 0.8748, prior_entropy: 4.6998, recall: 0.8748, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.5104,
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: 0.2685,
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: 0.9659, 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: 0.982, f_measure: 0.9654, kappa: 0.9641, kb_relative_information_score: 0.965, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 4.6998, recall: 0.9655, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8781, 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: 0.8851, 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: 0.9349, f_measure: 0.8747, kappa: 0.8697, kb_relative_information_score: 0.8729, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8821, predictive_accuracy: 0.8748, prior_entropy: 4.6998, recall: 0.8748, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.5104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8781, 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: 0.8851, 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: 0.9822, 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: 0.9659, 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: 0.982, 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: 0.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8759, kappa: 0.8708, kb_relative_information_score: 0.8739, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.884, predictive_accuracy: 0.8758, prior_entropy: 4.6998, recall: 0.8758, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8759, kappa: 0.8708, kb_relative_information_score: 0.8739, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.884, predictive_accuracy: 0.8758, prior_entropy: 4.6998, recall: 0.8758, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8761, kappa: 0.871, kb_relative_information_score: 0.8742, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8815, predictive_accuracy: 0.876, prior_entropy: 4.6998, recall: 0.876, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.965, kappa: 0.9637, kb_relative_information_score: 0.9645, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9652, predictive_accuracy: 0.9651, prior_entropy: 4.6998, recall: 0.9651, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.2696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8956, kappa: 0.8692, kb_relative_information_score: 0.8727, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9363, predictive_accuracy: 0.8743, prior_entropy: 4.6998, recall: 0.8743, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.5113,
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: 0.9659, 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: 0.9827, f_measure: 0.9666, kappa: 0.9653, kb_relative_information_score: 0.9662, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 4.6998, recall: 0.9667, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9666, kappa: 0.9653, kb_relative_information_score: 0.9662, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 4.6998, recall: 0.9667, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.964, kappa: 0.9626, kb_relative_information_score: 0.9635, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 4.6998, recall: 0.964, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.2736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9652, 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: 0.0517, root_relative_squared_error: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9652, 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: 0.0517, root_relative_squared_error: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8785, kappa: 0.8733, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8858, predictive_accuracy: 0.8782, prior_entropy: 4.6998, recall: 0.8782, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8785, kappa: 0.8733, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8858, predictive_accuracy: 0.8782, prior_entropy: 4.6998, recall: 0.8782, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9666, kappa: 0.9653, kb_relative_information_score: 0.9661, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9668, predictive_accuracy: 0.9666, prior_entropy: 4.6998, recall: 0.9666, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.2636,
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: 0.9659, 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: 0.9826, f_measure: 0.9666, kappa: 0.9653, kb_relative_information_score: 0.9661, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9668, predictive_accuracy: 0.9666, prior_entropy: 4.6998, recall: 0.9666, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.964, kappa: 0.9626, kb_relative_information_score: 0.9635, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 4.6998, recall: 0.964, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.2736,
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: 0.9359, f_measure: 0.877, kappa: 0.8717, kb_relative_information_score: 0.8749, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8845, predictive_accuracy: 0.8767, prior_entropy: 4.6998, recall: 0.8767, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.5065,
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: 0.9656, 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: 0.8859, f_measure: 0.822, kappa: 0.7718, kb_relative_information_score: 0.7779, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9087, predictive_accuracy: 0.7806, prior_entropy: 4.6998, recall: 0.7806, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9651, kappa: 0.9637, kb_relative_information_score: 0.9646, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 4.6998, recall: 0.9651, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.2694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8767, kappa: 0.8714, kb_relative_information_score: 0.8746, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8837, predictive_accuracy: 0.8764, prior_entropy: 4.6998, recall: 0.8764, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.5071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8767, kappa: 0.8714, kb_relative_information_score: 0.8746, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8837, predictive_accuracy: 0.8764, prior_entropy: 4.6998, recall: 0.8764, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.5071,
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: 0.9824, f_measure: 0.9661, 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: 0.9663, 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: 0.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8785, kappa: 0.8733, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.885, predictive_accuracy: 0.8782, prior_entropy: 4.6998, recall: 0.8782, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.877, kappa: 0.8717, kb_relative_information_score: 0.8749, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8845, predictive_accuracy: 0.8767, prior_entropy: 4.6998, recall: 0.8767, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.5065,
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: 0.9357, f_measure: 0.8766, 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: 0.8835, 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: 0.8757, kappa: 0.8705, kb_relative_information_score: 0.8736, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8817, predictive_accuracy: 0.8755, prior_entropy: 4.6998, recall: 0.8755, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8757, kappa: 0.8705, kb_relative_information_score: 0.8736, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8817, predictive_accuracy: 0.8755, prior_entropy: 4.6998, recall: 0.8755, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, 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: 0.8837, 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: 0.9358, 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: 0.8837, 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: 0.9824, f_measure: 0.9661, 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: 0.9663, 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: 0.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8785, kappa: 0.8733, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.885, predictive_accuracy: 0.8782, prior_entropy: 4.6998, recall: 0.8782, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.5034,
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: 0.9823, 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: 0.9663, 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: 0.9357, f_measure: 0.8766, 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: 0.8835, 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: 0.982, 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: 0.9656, 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: 0.8859, f_measure: 0.822, kappa: 0.7718, kb_relative_information_score: 0.7779, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9087, predictive_accuracy: 0.7806, prior_entropy: 4.6998, recall: 0.7806, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9651, kappa: 0.9637, kb_relative_information_score: 0.9646, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 4.6998, recall: 0.9651, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.2694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9573, kappa: 0.9553, kb_relative_information_score: 0.9564, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9588, predictive_accuracy: 0.957, prior_entropy: 4.6998, recall: 0.957, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.967, kappa: 0.9657, kb_relative_information_score: 0.9666, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 4.6998, recall: 0.9671, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.2618,
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: 0.9823, f_measure: 0.9659, kappa: 0.9646, kb_relative_information_score: 0.9655, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9661, predictive_accuracy: 0.966, prior_entropy: 4.6998, recall: 0.966, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9573, kappa: 0.9553, kb_relative_information_score: 0.9564, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9588, predictive_accuracy: 0.957, prior_entropy: 4.6998, recall: 0.957, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.967, kappa: 0.9657, kb_relative_information_score: 0.9666, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 4.6998, recall: 0.9671, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9659, kappa: 0.9646, kb_relative_information_score: 0.9655, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9661, predictive_accuracy: 0.966, prior_entropy: 4.6998, recall: 0.966, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.875, 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: 0.881, 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: 0.913, f_measure: 0.8591, kappa: 0.8261, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9149, predictive_accuracy: 0.8329, prior_entropy: 4.6998, recall: 0.8329, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9107, kappa: 0.8909, kb_relative_information_score: 0.8937, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9418, predictive_accuracy: 0.8951, prior_entropy: 4.6998, recall: 0.8951, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.4672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9654, kappa: 0.9641, kb_relative_information_score: 0.965, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 4.6998, recall: 0.9655, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.875, 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: 0.881, 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: 0.913, f_measure: 0.8591, kappa: 0.8261, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9149, predictive_accuracy: 0.8329, prior_entropy: 4.6998, recall: 0.8329, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5896,
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: 0.8844, 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: 0.9194, f_measure: 0.8747, kappa: 0.8389, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9296, predictive_accuracy: 0.8451, prior_entropy: 4.6998, recall: 0.8451, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.5676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8964, kappa: 0.8691, kb_relative_information_score: 0.8726, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9379, predictive_accuracy: 0.8742, prior_entropy: 4.6998, recall: 0.8742, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.5116,

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

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

OpenML APIs