OpenML
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21770 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_98 study_99 under100k under1m
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21770 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.6853, kappa: 0.6517, kb_relative_information_score: 0.7133, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6845, predictive_accuracy: 0.6865, prior_entropy: 3.3219, recall: 0.6865, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6827, kappa: 0.6483, kb_relative_information_score: 0.7101, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6827, predictive_accuracy: 0.6835, prior_entropy: 3.3219, recall: 0.6835, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.6808, kappa: 0.6456, kb_relative_information_score: 0.7106, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6807, predictive_accuracy: 0.681, prior_entropy: 3.3219, recall: 0.681, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.6762, kappa: 0.64, kb_relative_information_score: 0.6907, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6766, predictive_accuracy: 0.676, prior_entropy: 3.3219, recall: 0.676, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.7852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.6972, kappa: 0.665, kb_relative_information_score: 0.7448, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6976, predictive_accuracy: 0.6985, prior_entropy: 3.3219, recall: 0.6985, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.6781, kappa: 0.6422, kb_relative_information_score: 0.6847, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6786, predictive_accuracy: 0.678, prior_entropy: 3.3219, recall: 0.678, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.682, kappa: 0.6478, kb_relative_information_score: 0.732, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6825, predictive_accuracy: 0.683, prior_entropy: 3.3219, recall: 0.683, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7083, kappa: 0.6778, kb_relative_information_score: 0.7542, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.708, predictive_accuracy: 0.71, prior_entropy: 3.3219, recall: 0.71, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.7014, kappa: 0.6683, kb_relative_information_score: 0.75, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7021, predictive_accuracy: 0.7015, prior_entropy: 3.3219, recall: 0.7015, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.7147, kappa: 0.6833, kb_relative_information_score: 0.7556, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7154, predictive_accuracy: 0.715, prior_entropy: 3.3219, recall: 0.715, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6766, kappa: 0.645, kb_relative_information_score: 0.7303, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6806, predictive_accuracy: 0.6805, prior_entropy: 3.3219, recall: 0.6805, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.7054, kappa: 0.6733, kb_relative_information_score: 0.7504, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7063, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.6529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.6809, kappa: 0.6467, kb_relative_information_score: 0.7285, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6812, predictive_accuracy: 0.682, prior_entropy: 3.3219, recall: 0.682, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.6813, kappa: 0.6456, kb_relative_information_score: 0.7052, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6818, predictive_accuracy: 0.681, prior_entropy: 3.3219, recall: 0.681, relative_absolute_error: 0.3585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.22, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.6897, kappa: 0.6567, kb_relative_information_score: 0.7396, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6898, predictive_accuracy: 0.691, prior_entropy: 3.3219, recall: 0.691, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.6783, kappa: 0.6428, kb_relative_information_score: 0.6976, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6784, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.71, kappa: 0.68, kb_relative_information_score: 0.7612, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7104, predictive_accuracy: 0.712, prior_entropy: 3.3219, recall: 0.712, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.6208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.6953, kappa: 0.6617, kb_relative_information_score: 0.7406, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6958, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.7034, kappa: 0.6878, kb_relative_information_score: 0.736, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7126, predictive_accuracy: 0.719, prior_entropy: 3.3219, recall: 0.719, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7242, kappa: 0.7028, kb_relative_information_score: 0.756, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7274, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.7293, kappa: 0.7011, kb_relative_information_score: 0.7634, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7297, predictive_accuracy: 0.731, prior_entropy: 3.3219, recall: 0.731, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.6559, kappa: 0.6489, kb_relative_information_score: 0.6974, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.696, predictive_accuracy: 0.684, prior_entropy: 3.3219, recall: 0.684, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7255, kappa: 0.7094, kb_relative_information_score: 0.7503, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7302, predictive_accuracy: 0.7385, prior_entropy: 3.3219, recall: 0.7385, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.6961, kappa: 0.6628, kb_relative_information_score: 0.7361, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6963, predictive_accuracy: 0.6965, prior_entropy: 3.3219, recall: 0.6965, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.6841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.6788, kappa: 0.6433, kb_relative_information_score: 0.6791, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6789, predictive_accuracy: 0.679, prior_entropy: 3.3219, recall: 0.679, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.6786, kappa: 0.6428, kb_relative_information_score: 0.7102, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6789, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.681, kappa: 0.6461, kb_relative_information_score: 0.7132, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6809, predictive_accuracy: 0.6815, prior_entropy: 3.3219, recall: 0.6815, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, kappa: 0.0178, kb_relative_information_score: 0.0756, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.116, prior_entropy: 3.3219, recall: 0.116, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4205, root_relative_squared_error: 1.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.6936, kappa: 0.6606, kb_relative_information_score: 0.7404, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6941, predictive_accuracy: 0.6945, prior_entropy: 3.3219, recall: 0.6945, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.6742, kappa: 0.6378, kb_relative_information_score: 0.6739, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6746, predictive_accuracy: 0.674, prior_entropy: 3.3219, recall: 0.674, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5624, f_measure: 0.2011, kappa: 0.1261, kb_relative_information_score: 0.1775, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2265, predictive_accuracy: 0.2135, prior_entropy: 3.3219, recall: 0.2135, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3962, root_relative_squared_error: 1.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.6818, kappa: 0.6478, kb_relative_information_score: 0.695, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6814, predictive_accuracy: 0.683, prior_entropy: 3.3219, recall: 0.683, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.7682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.6833, kappa: 0.6478, kb_relative_information_score: 0.6967, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6839, predictive_accuracy: 0.683, prior_entropy: 3.3219, recall: 0.683, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.4402, kappa: 0.44, kb_relative_information_score: 0.5617, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5502, predictive_accuracy: 0.496, prior_entropy: 3.3219, recall: 0.496, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.6858, kappa: 0.6522, kb_relative_information_score: 0.7359, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6863, predictive_accuracy: 0.687, prior_entropy: 3.3219, recall: 0.687, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.7114, kappa: 0.6811, kb_relative_information_score: 0.7489, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.712, predictive_accuracy: 0.713, prior_entropy: 3.3219, recall: 0.713, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.5993, kappa: 0.5578, kb_relative_information_score: 0.5863, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6079, predictive_accuracy: 0.602, prior_entropy: 3.3219, recall: 0.602, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.28, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.6761, kappa: 0.64, kb_relative_information_score: 0.6771, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6768, predictive_accuracy: 0.676, prior_entropy: 3.3219, recall: 0.676, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.6856, kappa: 0.6706, kb_relative_information_score: 0.7084, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7104, predictive_accuracy: 0.7035, prior_entropy: 3.3219, recall: 0.7035, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.6911, kappa: 0.6572, kb_relative_information_score: 0.7224, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6915, predictive_accuracy: 0.6915, prior_entropy: 3.3219, recall: 0.6915, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.7108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.6921, kappa: 0.6806, kb_relative_information_score: 0.6056, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7182, predictive_accuracy: 0.7125, prior_entropy: 3.3219, recall: 0.7125, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.6749, kappa: 0.64, kb_relative_information_score: 0.7178, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6752, predictive_accuracy: 0.676, prior_entropy: 3.3219, recall: 0.676, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6851, kappa: 0.65, kb_relative_information_score: 0.7208, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6856, predictive_accuracy: 0.685, prior_entropy: 3.3219, recall: 0.685, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.6837, kappa: 0.6483, kb_relative_information_score: 0.6883, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6843, predictive_accuracy: 0.6835, prior_entropy: 3.3219, recall: 0.6835, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7265, kappa: 0.715, kb_relative_information_score: 0.7482, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7346, predictive_accuracy: 0.7435, prior_entropy: 3.3219, recall: 0.7435, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.6889, kappa: 0.6556, kb_relative_information_score: 0.7404, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6889, predictive_accuracy: 0.69, prior_entropy: 3.3219, recall: 0.69, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.4365, kappa: 0.4367, kb_relative_information_score: 0.5602, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5354, predictive_accuracy: 0.493, prior_entropy: 3.3219, recall: 0.493, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.7952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.6796, kappa: 0.6439, kb_relative_information_score: 0.7006, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6799, predictive_accuracy: 0.6795, prior_entropy: 3.3219, recall: 0.6795, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.6827, kappa: 0.6472, kb_relative_information_score: 0.6958, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6832, predictive_accuracy: 0.6825, prior_entropy: 3.3219, recall: 0.6825, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.7675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.6775, kappa: 0.6417, kb_relative_information_score: 0.6896, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6779, predictive_accuracy: 0.6775, prior_entropy: 3.3219, recall: 0.6775, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.7764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.6794, kappa: 0.6444, kb_relative_information_score: 0.6804, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6794, predictive_accuracy: 0.68, prior_entropy: 3.3219, recall: 0.68, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kappa: -0.0006, kb_relative_information_score: 0.0583, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0995, prior_entropy: 3.3219, recall: 0.0995, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.6752, kappa: 0.6428, kb_relative_information_score: 0.7301, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6787, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.6825, kappa: 0.6483, kb_relative_information_score: 0.7352, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6828, predictive_accuracy: 0.6835, prior_entropy: 3.3219, recall: 0.6835, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.6912, kappa: 0.6572, kb_relative_information_score: 0.7134, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6916, predictive_accuracy: 0.6915, prior_entropy: 3.3219, recall: 0.6915, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0583, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0995, prior_entropy: 3.3219, recall: 0.0995, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.6794, kappa: 0.6439, kb_relative_information_score: 0.6777, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6799, predictive_accuracy: 0.6795, prior_entropy: 3.3219, recall: 0.6795, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.6592, kappa: 0.6433, kb_relative_information_score: 0.7171, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6782, predictive_accuracy: 0.679, prior_entropy: 3.3219, recall: 0.679, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.199, root_relative_squared_error: 0.6634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.4391, kappa: 0.4389, kb_relative_information_score: 0.5618, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5482, predictive_accuracy: 0.495, prior_entropy: 3.3219, recall: 0.495, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.6855, kappa: 0.6511, kb_relative_information_score: 0.6842, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6855, predictive_accuracy: 0.686, prior_entropy: 3.3219, recall: 0.686, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.1441, kappa: 0.0561, kb_relative_information_score: 0.1116, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1828, predictive_accuracy: 0.1505, prior_entropy: 3.3219, recall: 0.1505, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.4394, kappa: 0.4394, kb_relative_information_score: 0.5617, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5436, predictive_accuracy: 0.4955, prior_entropy: 3.3219, recall: 0.4955, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.6846, kappa: 0.6694, kb_relative_information_score: 0.6948, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7091, predictive_accuracy: 0.7025, prior_entropy: 3.3219, recall: 0.7025, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.6797, kappa: 0.6444, kb_relative_information_score: 0.6788, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 3.3219, recall: 0.68, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.8062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.6756, kappa: 0.6394, kb_relative_information_score: 0.6844, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6761, predictive_accuracy: 0.6755, prior_entropy: 3.3219, recall: 0.6755, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.6822, kappa: 0.6467, kb_relative_information_score: 0.6945, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6826, predictive_accuracy: 0.682, prior_entropy: 3.3219, recall: 0.682, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.6822, kappa: 0.6478, kb_relative_information_score: 0.6928, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6819, predictive_accuracy: 0.683, prior_entropy: 3.3219, recall: 0.683, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.7042, kappa: 0.6728, kb_relative_information_score: 0.7518, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7039, predictive_accuracy: 0.7055, prior_entropy: 3.3219, recall: 0.7055, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.1001, kappa: 0.025, kb_relative_information_score: 0.0823, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1903, predictive_accuracy: 0.1225, prior_entropy: 3.3219, recall: 0.1225, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4189, root_relative_squared_error: 1.3964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7074, kappa: 0.6783, kb_relative_information_score: 0.7543, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7076, predictive_accuracy: 0.7105, prior_entropy: 3.3219, recall: 0.7105, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6879, kappa: 0.6539, kb_relative_information_score: 0.7303, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.6885, prior_entropy: 3.3219, recall: 0.6885, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.6969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.692, kappa: 0.6583, kb_relative_information_score: 0.7149, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.692, predictive_accuracy: 0.6925, prior_entropy: 3.3219, recall: 0.6925, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.6818, kappa: 0.6467, kb_relative_information_score: 0.6905, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 3.3219, recall: 0.682, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.6679, kappa: 0.6461, kb_relative_information_score: 0.7143, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6802, predictive_accuracy: 0.6815, prior_entropy: 3.3219, recall: 0.6815, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.6858, kappa: 0.6522, kb_relative_information_score: 0.7351, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6859, predictive_accuracy: 0.687, prior_entropy: 3.3219, recall: 0.687, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.6893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.6651, kappa: 0.6428, kb_relative_information_score: 0.717, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.675, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.4399, kappa: 0.4394, kb_relative_information_score: 0.557, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.551, predictive_accuracy: 0.4955, prior_entropy: 3.3219, recall: 0.4955, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.6935, kappa: 0.6594, kb_relative_information_score: 0.7402, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6939, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.6966, kappa: 0.6639, kb_relative_information_score: 0.7359, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6963, predictive_accuracy: 0.6975, prior_entropy: 3.3219, recall: 0.6975, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.6876, kappa: 0.6728, kb_relative_information_score: 0.712, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7104, predictive_accuracy: 0.7055, prior_entropy: 3.3219, recall: 0.7055, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.6856, kappa: 0.6506, kb_relative_information_score: 0.6937, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6859, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6777, kappa: 0.6461, kb_relative_information_score: 0.7315, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6809, predictive_accuracy: 0.6815, prior_entropy: 3.3219, recall: 0.6815, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.6934, kappa: 0.6594, kb_relative_information_score: 0.7422, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6941, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.684, kappa: 0.6489, kb_relative_information_score: 0.7115, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6843, predictive_accuracy: 0.684, prior_entropy: 3.3219, recall: 0.684, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.6847, kappa: 0.6494, kb_relative_information_score: 0.7034, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6853, predictive_accuracy: 0.6845, prior_entropy: 3.3219, recall: 0.6845, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.6814, kappa: 0.6461, kb_relative_information_score: 0.6972, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6817, predictive_accuracy: 0.6815, prior_entropy: 3.3219, recall: 0.6815, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.6821, kappa: 0.6472, kb_relative_information_score: 0.7029, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.682, predictive_accuracy: 0.6825, prior_entropy: 3.3219, recall: 0.6825, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.7485,

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

OpenML bootcamp

From your own software

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

OpenML APIs