OpenML
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35040 runs submitted
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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: 0.9828, f_measure: 0.9668, kappa: 0.9655, kb_relative_information_score: 0.9664, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.967, predictive_accuracy: 0.9669, prior_entropy: 4.6998, recall: 0.9669, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8758, kappa: 0.8703, kb_relative_information_score: 0.8735, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8825, predictive_accuracy: 0.8753, prior_entropy: 4.6998, recall: 0.8753, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.098, root_relative_squared_error: 0.5094,
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: 0.0517, root_relative_squared_error: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9668, kappa: 0.9655, kb_relative_information_score: 0.9663, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 4.6998, recall: 0.9668, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9588, kappa: 0.9568, kb_relative_information_score: 0.9579, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9602, predictive_accuracy: 0.9585, prior_entropy: 4.6998, recall: 0.9585, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.294,
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: 0.0517, root_relative_squared_error: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9668, kappa: 0.9655, kb_relative_information_score: 0.9663, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 4.6998, recall: 0.9668, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8766, kappa: 0.8717, kb_relative_information_score: 0.8748, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8824, predictive_accuracy: 0.8766, prior_entropy: 4.6998, recall: 0.8766, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.5066,
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: 0.9823, 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: 0.9338, f_measure: 0.8958, kappa: 0.8677, kb_relative_information_score: 0.8711, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9385, predictive_accuracy: 0.8728, prior_entropy: 4.6998, recall: 0.8728, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.5145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9664, kappa: 0.9651, kb_relative_information_score: 0.966, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 4.6998, recall: 0.9665, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.2642,
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: 0.9363, 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: 0.9352, 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: 0.9357, 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: 0.9825, f_measure: 0.9663, kappa: 0.965, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9666, predictive_accuracy: 0.9664, prior_entropy: 4.6998, recall: 0.9664, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.2646,
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: 0.9338, 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: 0.9361, f_measure: 0.8773, kappa: 0.8722, kb_relative_information_score: 0.8753, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8848, predictive_accuracy: 0.8771, prior_entropy: 4.6998, recall: 0.8771, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9664, kappa: 0.9651, kb_relative_information_score: 0.966, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 4.6998, recall: 0.9665, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.2642,
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: 0.9825, f_measure: 0.9663, kappa: 0.965, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9666, predictive_accuracy: 0.9664, prior_entropy: 4.6998, recall: 0.9664, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.2646,
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: 0.9823, 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: 0.9338, f_measure: 0.8958, kappa: 0.8677, kb_relative_information_score: 0.8711, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9385, predictive_accuracy: 0.8728, prior_entropy: 4.6998, recall: 0.8728, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.5145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8773, kappa: 0.8722, kb_relative_information_score: 0.8753, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8848, predictive_accuracy: 0.8771, prior_entropy: 4.6998, recall: 0.8771, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.5056,
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: 0.9821, 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: 0.9821, 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: 0.9953, 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: 0.9997, 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: 0.9991, 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: 0.9862, 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: 0.5, 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: 0.9997, 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: 0.9998, 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: 0.8851, 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: 0.9994, 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: 0.9997, 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: 0.5, 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: 0.9693, 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: 0.9998, 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: 0.9992, 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: 0.9997, 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: 0.9996, 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: 0.999, 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, 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: 0.9998, 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: 0.5, 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: 0.9983, 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: 0.9905, 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: 0.9284, 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: 0.9984, 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: 0.9361, 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: 0.9587, 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: 0.5, 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: 0.9994, 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: 0.9992, 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: 0.9997, 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: 0.999, 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: 0.9996, 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: 0.5, 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: 0.996, 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: 0.9645, 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: 0.5, 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: 0.9997, 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: 0.9993, 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: 0.9047, 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: 0.5, 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: 0.8198, 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: 0.9998, 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: 0.9997, 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: 0.9997, 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: 0.5, 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: 0.9888, 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: 0.9795, 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: 0.9992, 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: 0.9961, 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: 0.9382, f_measure: 0.8812, kappa: 0.8763, kb_relative_information_score: 0.8795, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8813, predictive_accuracy: 0.8811, prior_entropy: 4.6998, recall: 0.8811, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.2998, kappa: 0.3186, kb_relative_information_score: 3513.7376, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.3904, predictive_accuracy: 0.3444, prior_entropy: 4.6998, recall: 0.3444, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.7126, kappa: 0.6976, kb_relative_information_score: 13368.6745, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7244, predictive_accuracy: 0.7092, prior_entropy: 4.6998, recall: 0.7092, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.133, root_relative_squared_error: 0.6918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8824, kappa: 0.8776, kb_relative_information_score: 0.8809, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8826, predictive_accuracy: 0.8824, prior_entropy: 4.6998, recall: 0.8824, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9697, kappa: 0.9685, kb_relative_information_score: 0.9748, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 4.6998, recall: 0.9697, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.0992, kappa: 0.0769, kb_relative_information_score: 0.1017, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.1106, predictive_accuracy: 0.1125, prior_entropy: 4.6998, recall: 0.1125, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2613, root_relative_squared_error: 1.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.0753, kappa: 0.0589, kb_relative_information_score: 0.0843, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0889, predictive_accuracy: 0.0954, prior_entropy: 4.6998, recall: 0.0954, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2638, root_relative_squared_error: 1.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9515, kappa: 0.9495, kb_relative_information_score: 0.9122, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9519, predictive_accuracy: 0.9515, prior_entropy: 4.6998, recall: 0.9515, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.3569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9515, kappa: 0.9495, kb_relative_information_score: 0.9122, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9519, predictive_accuracy: 0.9515, prior_entropy: 4.6998, recall: 0.9515, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.3569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8817, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8816, kappa: 0.8768, kb_relative_information_score: 0.88, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8819, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.882, kappa: 0.8772, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8822, predictive_accuracy: 0.8819, prior_entropy: 4.6998, recall: 0.8819, relative_absolute_error: 0.1228, 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: 0.938, f_measure: 0.8809, kappa: 0.8761, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8811, predictive_accuracy: 0.8809, prior_entropy: 4.6998, recall: 0.8809, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.4978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9717, kappa: 0.9706, kb_relative_information_score: 0.9767, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9718, predictive_accuracy: 0.9717, prior_entropy: 4.6998, recall: 0.9717, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0414, root_relative_squared_error: 0.2155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9015, kappa: 0.8735, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9445, predictive_accuracy: 0.8784, prior_entropy: 4.6998, recall: 0.8784, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.974, kappa: 0.9729, kb_relative_information_score: 0.9784, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 4.6998, recall: 0.974, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9666, kappa: 0.9653, kb_relative_information_score: 0.9705, mean_absolute_error: 0.0039, 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: 0.0532, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.972, kappa: 0.9709, kb_relative_information_score: 0.9771, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9721, predictive_accuracy: 0.972, prior_entropy: 4.6998, recall: 0.972, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.2141,

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

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