OpenML
Supervised Classification on mnist_784

Supervised Classification on mnist_784

Task 3573 Supervised Classification mnist_784 13143 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_123 study_41 study_99 under100k vision
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13143 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9522, kappa: 0.9468, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9523, predictive_accuracy: 0.9522, prior_entropy: 3.3198, recall: 0.9522, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.3261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9518, kappa: 0.9465, kb_relative_information_score: 0.9494, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 3.3198, recall: 0.9518, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9521, kappa: 0.9468, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9522, predictive_accuracy: 0.9521, prior_entropy: 3.3198, recall: 0.9521, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.3262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9562, kappa: 0.9513, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9562, predictive_accuracy: 0.9562, prior_entropy: 3.3198, recall: 0.9562, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9521, kappa: 0.9467, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9522, predictive_accuracy: 0.9521, prior_entropy: 3.3198, recall: 0.9521, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9517, kappa: 0.9463, kb_relative_information_score: 0.9492, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9518, predictive_accuracy: 0.9517, prior_entropy: 3.3198, recall: 0.9517, relative_absolute_error: 0.0537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.3278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9519, kappa: 0.9466, kb_relative_information_score: 0.9495, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 3.3198, recall: 0.952, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.952, kappa: 0.9466, kb_relative_information_score: 0.9496, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 3.3198, recall: 0.952, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.952, kappa: 0.9466, kb_relative_information_score: 0.9496, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 3.3198, recall: 0.952, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.956, kappa: 0.9512, kb_relative_information_score: 0.9538, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 3.3198, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9518, kappa: 0.9464, kb_relative_information_score: 0.9494, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 3.3198, recall: 0.9518, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.952, kappa: 0.9467, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9522, predictive_accuracy: 0.9521, prior_entropy: 3.3198, recall: 0.9521, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.3265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9517, kappa: 0.9464, kb_relative_information_score: 0.9493, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9518, predictive_accuracy: 0.9517, prior_entropy: 3.3198, recall: 0.9517, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9518, kappa: 0.9465, kb_relative_information_score: 0.9494, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 3.3198, recall: 0.9518, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9519, kappa: 0.9466, kb_relative_information_score: 0.9495, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.3198, recall: 0.9519, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9521, kappa: 0.9468, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9523, predictive_accuracy: 0.9521, prior_entropy: 3.3198, recall: 0.9521, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.3262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9832, kappa: 0.9814, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 3.3198, recall: 0.9832, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 0.9823, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 3.3198, recall: 0.9822, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9837, kappa: 0.9818, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 3.3198, recall: 0.9837, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9812, kappa: 0.9791, kb_relative_information_score: 0.9814, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 3.3198, recall: 0.9812, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9833, kappa: 0.9815, kb_relative_information_score: 0.9838, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 3.3198, recall: 0.9833, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9813, kappa: 0.9792, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 3.3198, recall: 0.9813, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.054, root_relative_squared_error: 0.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9787, kappa: 0.9764, kb_relative_information_score: 0.9769, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 3.3198, recall: 0.9787, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8029, kappa: 0.7472, kb_relative_information_score: 0.7627, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8826, predictive_accuracy: 0.7726, prior_entropy: 3.3198, recall: 0.7726, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9832, kappa: 0.9813, kb_relative_information_score: 0.9832, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 3.3198, recall: 0.9832, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9599, kappa: 0.9554, kb_relative_information_score: 0.9453, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 3.3198, recall: 0.9599, relative_absolute_error: 0.0888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.2643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9834, kappa: 0.9816, kb_relative_information_score: 0.9838, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 3.3198, recall: 0.9834, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9772, kappa: 0.9747, kb_relative_information_score: 0.9729, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 3.3198, recall: 0.9772, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.059, root_relative_squared_error: 0.1967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9786, kappa: 0.9762, kb_relative_information_score: 0.9761, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 3.3198, recall: 0.9786, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9777, kappa: 0.9752, kb_relative_information_score: 0.9753, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 3.3198, recall: 0.9777, relative_absolute_error: 0.0371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9773, kappa: 0.9748, kb_relative_information_score: 0.9739, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 3.3198, recall: 0.9773, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9731, kappa: 0.9701, kb_relative_information_score: 0.9658, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 3.3198, recall: 0.9731, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.2143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9834, kappa: 0.9815, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 3.3198, recall: 0.9834, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.983, kappa: 0.9811, kb_relative_information_score: 0.9833, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 3.3198, recall: 0.983, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9561, kappa: 0.9512, kb_relative_information_score: 0.9509, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 3.3198, recall: 0.9561, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.2889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9423, kappa: 0.9359, kb_relative_information_score: 0.9353, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9423, predictive_accuracy: 0.9424, prior_entropy: 3.3198, recall: 0.9424, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.3383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9838, kappa: 0.9819, kb_relative_information_score: 0.9841, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 3.3198, recall: 0.9838, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9741, kappa: 0.9712, kb_relative_information_score: 0.9678, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 3.3198, recall: 0.9741, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8757, kappa: 0.8618, kb_relative_information_score: 0.8693, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8757, predictive_accuracy: 0.8757, prior_entropy: 3.3198, recall: 0.8757, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9397, kappa: 0.933, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 3.3198, recall: 0.9397, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9835, kappa: 0.9816, kb_relative_information_score: 0.981, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 3.3198, recall: 0.9835, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.959, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 3.3198, recall: 0.9654, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.1009, kappa: 0.0011, kb_relative_information_score: 0.0607, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.1017, predictive_accuracy: 0.1025, prior_entropy: 3.3198, recall: 0.1025, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.1009, kappa: 0.0011, kb_relative_information_score: 0.0607, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.1017, predictive_accuracy: 0.1025, prior_entropy: 3.3198, recall: 0.1025, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8743, kappa: 0.8604, kb_relative_information_score: 0.868, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8743, predictive_accuracy: 0.8744, prior_entropy: 3.3198, recall: 0.8744, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.5284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 0.9757, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3198, recall: 0.978, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9915, kappa: 0.9906, kb_relative_information_score: 0.9914, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 3.3198, recall: 0.9915, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0371, root_relative_squared_error: 0.1237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9289, kappa: 0.9211, kb_relative_information_score: 63711.8837, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.929, predictive_accuracy: 0.929, prior_entropy: 3.3198, recall: 0.929, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9135, kappa: 0.904, kb_relative_information_score: 62065.0878, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9136, predictive_accuracy: 0.9137, prior_entropy: 3.3198, recall: 0.9137, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, kappa: 0.5816, kb_relative_information_score: 13667.9417, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.6237, prior_entropy: 3.3198, recall: 0.6237, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, kappa: 0.6004, kb_relative_information_score: 9888.0891, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, predictive_accuracy: 0.6407, prior_entropy: 3.3198, recall: 0.6407, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9662, kappa: 0.9624, kb_relative_information_score: 67137.2528, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9662, predictive_accuracy: 0.9662, prior_entropy: 3.3198, recall: 0.9662, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9808, kappa: 0.9787, kb_relative_information_score: 68398.4575, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9808, predictive_accuracy: 0.9808, prior_entropy: 3.3198, recall: 0.9808, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 69358.9541, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 3.3198, recall: 0.9914, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0362, root_relative_squared_error: 0.1208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.994, kappa: 0.9933, kb_relative_information_score: 69559.526, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 3.3198, recall: 0.994, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0346, root_relative_squared_error: 0.1155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9704, kappa: 0.9671, kb_relative_information_score: 67828.8063, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 3.3198, recall: 0.9704, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4789, f_measure: 0.0341, kappa: -0.0004, kb_relative_information_score: 908.7714, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.0888, predictive_accuracy: 0.0984, prior_entropy: 3.3198, recall: 0.0984, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3025, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.875, kappa: 0.8612, kb_relative_information_score: 60813.7164, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.875, predictive_accuracy: 0.8752, prior_entropy: 3.3198, recall: 0.8752, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.158, root_relative_squared_error: 0.5268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9804, kappa: 0.9783, kb_relative_information_score: 68555.9911, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9805, predictive_accuracy: 0.9804, prior_entropy: 3.3198, recall: 0.9804, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9524, kappa: 0.9471, kb_relative_information_score: 66504.5542, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 3.3198, recall: 0.9524, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9812, kappa: 0.9791, kb_relative_information_score: 68599.6397, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 3.3198, recall: 0.9812, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9525, kappa: 0.9472, kb_relative_information_score: 66180.4207, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 3.3198, recall: 0.9525, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9847, kappa: 0.983, kb_relative_information_score: 68826.138, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 3.3198, recall: 0.9847, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.991, kappa: 0.99, kb_relative_information_score: 69385.5744, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 3.3198, recall: 0.991, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9889, kappa: 0.9877, kb_relative_information_score: 69199.8467, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 3.3198, recall: 0.9889, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8724, kappa: 0.8583, kb_relative_information_score: 60939.7619, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8724, predictive_accuracy: 0.8725, prior_entropy: 3.3198, recall: 0.8725, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8802, kappa: 0.867, kb_relative_information_score: 61271.4567, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 3.3198, recall: 0.8803, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.868, kappa: 0.8535, kb_relative_information_score: 60083.2373, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8679, predictive_accuracy: 0.8682, prior_entropy: 3.3198, recall: 0.8682, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8827, kappa: 0.8698, kb_relative_information_score: 61725.3214, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8827, predictive_accuracy: 0.8829, prior_entropy: 3.3198, recall: 0.8829, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8711, kappa: 0.857, kb_relative_information_score: 60422.7447, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.8713, prior_entropy: 3.3198, recall: 0.8713, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8741, kappa: 0.8602, kb_relative_information_score: 60665.0123, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.874, predictive_accuracy: 0.8742, prior_entropy: 3.3198, recall: 0.8742, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8616, kappa: 0.8463, kb_relative_information_score: 59464.8837, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8615, predictive_accuracy: 0.8617, prior_entropy: 3.3198, recall: 0.8617, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8725, kappa: 0.8585, kb_relative_information_score: 60558.8872, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8725, predictive_accuracy: 0.8727, prior_entropy: 3.3198, recall: 0.8727, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8651, kappa: 0.8502, kb_relative_information_score: 59819.5897, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.865, predictive_accuracy: 0.8653, prior_entropy: 3.3198, recall: 0.8653, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.876, kappa: 0.8624, kb_relative_information_score: 61074.1463, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8759, predictive_accuracy: 0.8762, prior_entropy: 3.3198, recall: 0.8762, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8775, kappa: 0.864, kb_relative_information_score: 61039.9324, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8775, predictive_accuracy: 0.8776, prior_entropy: 3.3198, recall: 0.8776, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8742, kappa: 0.8603, kb_relative_information_score: 60665.3061, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8741, predictive_accuracy: 0.8743, prior_entropy: 3.3198, recall: 0.8743, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8627, kappa: 0.8476, kb_relative_information_score: 59571.1811, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8627, predictive_accuracy: 0.8629, prior_entropy: 3.3198, recall: 0.8629, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8653, kappa: 0.8505, kb_relative_information_score: 59892.0061, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8653, predictive_accuracy: 0.8655, prior_entropy: 3.3198, recall: 0.8655, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8666, kappa: 0.8519, kb_relative_information_score: 59964.5815, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8666, predictive_accuracy: 0.8668, prior_entropy: 3.3198, recall: 0.8668, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8627, kappa: 0.8476, kb_relative_information_score: 59582.0381, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8627, predictive_accuracy: 0.8629, prior_entropy: 3.3198, recall: 0.8629, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.871, kappa: 0.8567, kb_relative_information_score: 60341.8232, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 3.3198, recall: 0.8711, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.871, kappa: 0.8567, kb_relative_information_score: 60339.3002, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 3.3198, recall: 0.871, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8812, kappa: 0.8681, kb_relative_information_score: 61461.7227, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8812, predictive_accuracy: 0.8813, prior_entropy: 3.3198, recall: 0.8813, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8808, kappa: 0.8676, kb_relative_information_score: 61437.6194, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8808, predictive_accuracy: 0.8809, prior_entropy: 3.3198, recall: 0.8809, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8736, kappa: 0.8596, kb_relative_information_score: 60568.6925, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8736, predictive_accuracy: 0.8736, prior_entropy: 3.3198, recall: 0.8736, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8721, kappa: 0.858, kb_relative_information_score: 60545.9204, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.872, predictive_accuracy: 0.8722, prior_entropy: 3.3198, recall: 0.8722, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8816, kappa: 0.8684, kb_relative_information_score: 61524.0173, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 3.3198, recall: 0.8816, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8716, kappa: 0.8575, kb_relative_information_score: 60881.9166, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8716, predictive_accuracy: 0.8718, prior_entropy: 3.3198, recall: 0.8718, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8834, kappa: 0.8705, kb_relative_information_score: 61742.6535, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8833, predictive_accuracy: 0.8835, prior_entropy: 3.3198, recall: 0.8835, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8649, kappa: 0.85, kb_relative_information_score: 59815.386, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8648, predictive_accuracy: 0.8651, prior_entropy: 3.3198, recall: 0.8651, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.876, kappa: 0.8623, kb_relative_information_score: 61131.0105, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.876, predictive_accuracy: 0.8762, prior_entropy: 3.3198, recall: 0.8762, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8616, kappa: 0.8464, kb_relative_information_score: 59463.2131, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8616, predictive_accuracy: 0.8618, prior_entropy: 3.3198, recall: 0.8618, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8764, kappa: 0.8629, kb_relative_information_score: 61280.4977, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8763, predictive_accuracy: 0.8766, prior_entropy: 3.3198, recall: 0.8766, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.87, kappa: 0.8555, kb_relative_information_score: 60256.2618, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 3.3198, recall: 0.87, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8741, kappa: 0.8602, kb_relative_information_score: 60665.3109, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8741, predictive_accuracy: 0.8742, prior_entropy: 3.3198, recall: 0.8742, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8688, kappa: 0.8544, kb_relative_information_score: 60209.3078, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8688, predictive_accuracy: 0.869, prior_entropy: 3.3198, recall: 0.869, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8628, kappa: 0.8476, kb_relative_information_score: 59586.2534, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8628, predictive_accuracy: 0.8629, prior_entropy: 3.3198, recall: 0.8629, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8795, kappa: 0.8661, kb_relative_information_score: 61154.8634, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8794, predictive_accuracy: 0.8795, prior_entropy: 3.3198, recall: 0.8795, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8731, kappa: 0.8591, kb_relative_information_score: 61038.6615, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8731, predictive_accuracy: 0.8732, prior_entropy: 3.3198, recall: 0.8732, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4745,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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

OpenML APIs