Task
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: 0.9985, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9635, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9632, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9615, kappa: 0.9572, kb_relative_information_score: 0.9621, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9617, predictive_accuracy: 0.9615, prior_entropy: 3.3219, recall: 0.9615, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.2571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 0.9609, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.075, root_relative_squared_error: 0.2501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9643, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 0.9567, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9597, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.2611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.9627, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 0.961, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9637, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9609, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9632, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0076, 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: 0.0425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9645, kappa: 0.9606, kb_relative_information_score: 0.9631, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9647, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9602, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9631, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 0.9594, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9613, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 0.9591, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9613, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9608, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.9636, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0444, 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: 0.9985, f_measure: 0.9636, kappa: 0.9594, kb_relative_information_score: 0.9585, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9638, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9626, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9642, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9633, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 0.9596, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.2578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9606, kappa: 0.9561, kb_relative_information_score: 0.9581, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9608, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.2561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8244, kappa: 0.805, kb_relative_information_score: 0.8165, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.825, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8158, kappa: 0.7956, kb_relative_information_score: 0.8076, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.817, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 0.9567, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9598, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 0.9578, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.0522, 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: 0.9985, f_measure: 0.9645, kappa: 0.9606, kb_relative_information_score: 0.9619, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9647, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.078, root_relative_squared_error: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.1047, kappa: 0.0072, kb_relative_information_score: 0.0656, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1043, predictive_accuracy: 0.1065, prior_entropy: 3.3219, recall: 0.1065, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4227, root_relative_squared_error: 1.4091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.1047, kappa: 0.0072, kb_relative_information_score: 0.0656, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1043, predictive_accuracy: 0.1065, prior_entropy: 3.3219, recall: 0.1065, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4227, root_relative_squared_error: 1.4091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8225, kappa: 0.8033, kb_relative_information_score: 0.8149, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8231, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8181, kappa: 0.7983, kb_relative_information_score: 1620.39, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8191, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8222, kappa: 0.8022, kb_relative_information_score: 1627.7103, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8229, 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: 0.5, kb_relative_information_score: 6.8797, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.0981, kappa: 0.005, kb_relative_information_score: 30.0796, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0925, predictive_accuracy: 0.1045, prior_entropy: 3.3219, recall: 0.1045, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3009, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, kappa: 0.0206, kb_relative_information_score: 86.5776, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1185, prior_entropy: 3.3219, recall: 0.1185, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3015, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.5125, 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: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4535, f_measure: 0.0928, kappa: 0.0017, kb_relative_information_score: 0.5354, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1186, predictive_accuracy: 0.1015, prior_entropy: 3.3219, recall: 0.1015, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4335, kappa: -0.0711, kb_relative_information_score: 4.5029, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.036, prior_entropy: 3.3219, recall: 0.036, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3007, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.9846, 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: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.451, f_measure: 0.1008, kappa: -0.0006, kb_relative_information_score: 117.8473, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1022, predictive_accuracy: 0.0995, prior_entropy: 3.3219, recall: 0.0995, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3534, root_relative_squared_error: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.1025, kappa: 0.0011, kb_relative_information_score: 129.303, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.104, predictive_accuracy: 0.101, prior_entropy: 3.3219, recall: 0.101, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.388, root_relative_squared_error: 1.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.8108, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.8101, 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: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4719, f_measure: 0.1047, kappa: 0.0056, kb_relative_information_score: 133.8033, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1044, predictive_accuracy: 0.105, prior_entropy: 3.3219, recall: 0.105, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.376, root_relative_squared_error: 1.2535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.3324, 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: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.8943, 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: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.8044, 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: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4665, f_measure: 0.1016, kappa: -0.0006, kb_relative_information_score: 119.964, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1037, predictive_accuracy: 0.0995, prior_entropy: 3.3219, recall: 0.0995, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.3139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4681, f_measure: 0.1005, kappa: 0.0006, kb_relative_information_score: 126.7101, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1005, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.1895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.5958, 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: 0.3001, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.023, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 44.6618, 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: 0.3005, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0164, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4582, f_measure: 0.0962, kappa: 0.0283, kb_relative_information_score: 1.7142, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0797, predictive_accuracy: 0.1255, prior_entropy: 3.3219, recall: 0.1255, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.8075, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.3234, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4446, f_measure: 0.1001, kappa: 0.0011, kb_relative_information_score: 5.0564, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1009, predictive_accuracy: 0.101, prior_entropy: 3.3219, recall: 0.101, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4346, f_measure: 0.0999, kappa: -0.0017, kb_relative_information_score: 62.6239, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1016, predictive_accuracy: 0.0985, prior_entropy: 3.3219, recall: 0.0985, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3058, root_relative_squared_error: 1.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.7838, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 89.9195, 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: 0.3021, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.2519, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.7458, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.0297, 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: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.3636, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.808, 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: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4603, f_measure: 0.0971, kappa: 0.0083, kb_relative_information_score: 61.2728, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0951, predictive_accuracy: 0.1075, prior_entropy: 3.3219, recall: 0.1075, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3027, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.9048, 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: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4602, f_measure: 0.1021, kappa: 0.0017, kb_relative_information_score: 118.0181, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1029, predictive_accuracy: 0.1015, prior_entropy: 3.3219, recall: 0.1015, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3337, root_relative_squared_error: 1.1123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.098, kappa: 0.0006, kb_relative_information_score: 71.3908, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0959, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.0277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.6977, 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: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.3325, 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: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.1132, 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: 0.3, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4394, f_measure: 0.0982, kappa: -0.0056, kb_relative_information_score: 97.4456, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1016, predictive_accuracy: 0.095, prior_entropy: 3.3219, recall: 0.095, relative_absolute_error: 1.0137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3231, root_relative_squared_error: 1.0769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4487, f_measure: 0.0989, kappa: 0.0011, kb_relative_information_score: 81.2178, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0969, predictive_accuracy: 0.101, prior_entropy: 3.3219, recall: 0.101, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3173, root_relative_squared_error: 1.0578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4588, kappa: -0.025, kb_relative_information_score: 9.5776, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0775, prior_entropy: 3.3219, recall: 0.0775, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 75.2651, 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: 0.3013, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.6157, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.4901, 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: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.5113, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 45.658, 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: 0.3006, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.512, 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: 0.3013, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4407, kb_relative_information_score: 2.5439, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.8943, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.7115, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.9764, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.3541, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.2988, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.6212, 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: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.2266, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4586, f_measure: 0.1018, kappa: 0.0022, kb_relative_information_score: 121.4529, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1016, predictive_accuracy: 0.102, prior_entropy: 3.3219, recall: 0.102, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3557, root_relative_squared_error: 1.1856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.7993, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4531, f_measure: 0.1006, kappa: -0.0006, kb_relative_information_score: 92.6433, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1017, predictive_accuracy: 0.0995, prior_entropy: 3.3219, recall: 0.0995, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.0652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, f_measure: 0.0585, kappa: -0.0128, kb_relative_information_score: 3.3416, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1162, predictive_accuracy: 0.0885, prior_entropy: 3.3219, recall: 0.0885, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0025, 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: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.9735, 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: 0.3011, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.4142, 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: 0.3, root_relative_squared_error: 1,

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)

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