OpenML
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 24479 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5494, f_measure: 0.1682, kappa: 0.0989, kb_relative_information_score: 0.1519, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.911, predictive_accuracy: 0.189, prior_entropy: 3.3219, recall: 0.189, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9696, kappa: 0.9661, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9701, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.241, kappa: 0.1522, kb_relative_information_score: 0.2021, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9116, predictive_accuracy: 0.237, prior_entropy: 3.3219, recall: 0.237, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3906, root_relative_squared_error: 1.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7212, kappa: 0.6167, kb_relative_information_score: 0.6392, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9201, predictive_accuracy: 0.655, prior_entropy: 3.3219, recall: 0.655, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9696, kappa: 0.9661, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9701, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.241, kappa: 0.1522, kb_relative_information_score: 0.2021, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9116, predictive_accuracy: 0.237, prior_entropy: 3.3219, recall: 0.237, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3906, root_relative_squared_error: 1.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9715, kappa: 0.9683, kb_relative_information_score: 0.9702, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9719, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7212, kappa: 0.6167, kb_relative_information_score: 0.6392, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9201, predictive_accuracy: 0.655, prior_entropy: 3.3219, recall: 0.655, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9715, kappa: 0.9683, kb_relative_information_score: 0.9702, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9719, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.4793, kappa: 0.3506, kb_relative_information_score: 0.3888, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9133, predictive_accuracy: 0.4155, prior_entropy: 3.3219, recall: 0.4155, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3419, root_relative_squared_error: 1.1397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.6853, kappa: 0.5706, kb_relative_information_score: 0.5958, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9197, predictive_accuracy: 0.6135, prior_entropy: 3.3219, recall: 0.6135, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.6853, kappa: 0.5706, kb_relative_information_score: 0.5958, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9197, predictive_accuracy: 0.6135, prior_entropy: 3.3219, recall: 0.6135, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.4793, kappa: 0.3506, kb_relative_information_score: 0.3888, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9133, predictive_accuracy: 0.4155, prior_entropy: 3.3219, recall: 0.4155, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3419, root_relative_squared_error: 1.1397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9542, kappa: 0.9489, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.954, prior_entropy: 3.3219, recall: 0.954, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9542, kappa: 0.9489, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.954, prior_entropy: 3.3219, recall: 0.954, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9638, kappa: 0.9589, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9669, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9638, kappa: 0.9589, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9669, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8506, kappa: 0.8022, kb_relative_information_score: 0.8139, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9276, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.7869, kappa: 0.7644, kb_relative_information_score: 1529.7485, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7876, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.6152, scimark_benchmark: 948.6586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 1612.483, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9614, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4401, scimark_benchmark: 948.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.3621, kappa: 0.3133, kb_relative_information_score: 278.1504, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6575, predictive_accuracy: 0.382, prior_entropy: 3.3219, recall: 0.382, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.291, root_relative_squared_error: 0.9699, scimark_benchmark: 949.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9609, kappa: 0.9567, kb_relative_information_score: 1898.0868, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9622, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.2673, scimark_benchmark: 929.6709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.8973, kappa: 0.8861, kb_relative_information_score: 1638.9499, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8975, predictive_accuracy: 0.8975, prior_entropy: 3.3219, recall: 0.8975, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581, scimark_benchmark: 940.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9546, kappa: 0.9494, kb_relative_information_score: 1911.965, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2932, scimark_benchmark: 947.6432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.957, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9727, predictive_accuracy: 0.9725, prior_entropy: 3.3219, recall: 0.9725, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 3.3219, recall: 0.968, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.08, root_relative_squared_error: 0.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9786, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9789, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9591, kappa: 0.9544, kb_relative_information_score: 0.9571, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9595, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9651, kappa: 0.9611, kb_relative_information_score: 0.9634, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9656, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9651, kappa: 0.9611, kb_relative_information_score: 0.9634, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9656, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9406, kappa: 0.9339, kb_relative_information_score: 0.9378, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9411, predictive_accuracy: 0.9405, prior_entropy: 3.3219, recall: 0.9405, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 0.9618, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9641, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 0.9618, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9641, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9716, kappa: 0.9683, kb_relative_information_score: 0.9702, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.958, kappa: 0.9533, kb_relative_information_score: 0.9561, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 3.3219, recall: 0.958, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9739, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 3.3219, recall: 0.968, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.08, root_relative_squared_error: 0.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.2104, kappa: 0.1289, kb_relative_information_score: 0.1801, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9113, predictive_accuracy: 0.216, prior_entropy: 3.3219, recall: 0.216, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.396, root_relative_squared_error: 1.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9691, kappa: 0.9656, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9698, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.6751, kappa: 0.625, kb_relative_information_score: 0.6471, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7174, predictive_accuracy: 0.6625, prior_entropy: 3.3219, recall: 0.6625, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9707, kappa: 0.9672, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9717, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9691, kappa: 0.9656, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9698, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9111, kappa: 0.8956, kb_relative_information_score: 0.9017, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9274, predictive_accuracy: 0.906, prior_entropy: 3.3219, recall: 0.906, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.2104, kappa: 0.1289, kb_relative_information_score: 0.1801, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9113, predictive_accuracy: 0.216, prior_entropy: 3.3219, recall: 0.216, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.396, root_relative_squared_error: 1.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9511, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.956, prior_entropy: 3.3219, recall: 0.956, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9511, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.956, prior_entropy: 3.3219, recall: 0.956, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.6751, kappa: 0.625, kb_relative_information_score: 0.6471, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7174, predictive_accuracy: 0.6625, prior_entropy: 3.3219, recall: 0.6625, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.3592, kappa: 0.2456, kb_relative_information_score: 0.2899, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9112, predictive_accuracy: 0.321, prior_entropy: 3.3219, recall: 0.321, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.2284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.3592, kappa: 0.2456, kb_relative_information_score: 0.2899, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9112, predictive_accuracy: 0.321, prior_entropy: 3.3219, recall: 0.321, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.2284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9111, kappa: 0.8956, kb_relative_information_score: 0.9017, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9274, predictive_accuracy: 0.906, prior_entropy: 3.3219, recall: 0.906, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8923, kappa: 0.88, kb_relative_information_score: 154.3144, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8948, predictive_accuracy: 0.892, prior_entropy: 3.3219, recall: 0.892, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9783, scimark_benchmark: 911.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9053, kappa: 0.895, kb_relative_information_score: 1646.0915, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9056, predictive_accuracy: 0.9055, prior_entropy: 3.3219, recall: 0.9055, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.4469, scimark_benchmark: 908.4447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9054, kappa: 0.895, kb_relative_information_score: 1642.5969, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9058, predictive_accuracy: 0.9055, prior_entropy: 3.3219, recall: 0.9055, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.4513, scimark_benchmark: 948.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.957, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 3.3219, recall: 0.968, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.08, root_relative_squared_error: 0.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 3.3219, recall: 0.968, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.08, root_relative_squared_error: 0.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9727, predictive_accuracy: 0.9725, prior_entropy: 3.3219, recall: 0.9725, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9786, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9789, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.958, kappa: 0.9533, kb_relative_information_score: 0.9561, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 3.3219, recall: 0.958, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.952, kappa: 0.9467, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9527, predictive_accuracy: 0.952, prior_entropy: 3.3219, recall: 0.952, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 0.9697, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9714, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.0703, kappa: 0.03, kb_relative_information_score: 172.7094, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.127, prior_entropy: 3.3219, recall: 0.127, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3052, root_relative_squared_error: 1.0175, scimark_benchmark: 943.3092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 3.3219, recall: 0.968, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.08, root_relative_squared_error: 0.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9665, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 3.3219, recall: 0.968, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.08, root_relative_squared_error: 0.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9591, kappa: 0.9544, kb_relative_information_score: 0.9571, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9595, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9406, kappa: 0.9339, kb_relative_information_score: 0.9378, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9411, predictive_accuracy: 0.9405, prior_entropy: 3.3219, recall: 0.9405, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 0.9618, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9641, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9716, kappa: 0.9683, kb_relative_information_score: 0.9702, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9422, kappa: 0.9356, kb_relative_information_score: 0.9393, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9429, predictive_accuracy: 0.942, prior_entropy: 3.3219, recall: 0.942, relative_absolute_error: 0.0644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9422, kappa: 0.9356, kb_relative_information_score: 0.9393, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9429, predictive_accuracy: 0.942, prior_entropy: 3.3219, recall: 0.942, relative_absolute_error: 0.0644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.0714, kappa: 0.0306, kb_relative_information_score: 0.0876, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1275, prior_entropy: 3.3219, recall: 0.1275, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.0767, kappa: 0.0339, kb_relative_information_score: 0.0907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1305, prior_entropy: 3.3219, recall: 0.1305, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.417, root_relative_squared_error: 1.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.1112, kappa: 0.0578, kb_relative_information_score: 0.1132, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9105, predictive_accuracy: 0.152, prior_entropy: 3.3219, recall: 0.152, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.0899, kappa: 0.0428, kb_relative_information_score: 0.0991, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.1385, prior_entropy: 3.3219, recall: 0.1385, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.0899, kappa: 0.0428, kb_relative_information_score: 0.0991, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.1385, prior_entropy: 3.3219, recall: 0.1385, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9564, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9569, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9564, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9569, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.0889, kappa: 0.105, kb_relative_information_score: 410.4581, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0609, predictive_accuracy: 0.1945, prior_entropy: 3.3219, recall: 0.1945, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9656, scimark_benchmark: 929.1877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8109, kappa: 0.7911, kb_relative_information_score: 1613.2559, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8108, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.6148, scimark_benchmark: 944.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8277, kappa: 0.8072, kb_relative_information_score: 0.8186, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8311, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8277, kappa: 0.8072, kb_relative_information_score: 0.8186, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8311, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9771, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9771, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs