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: 0.9897, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9817, predictive_accuracy: 0.9815, prior_entropy: 3.3219, recall: 0.9815, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.2028,
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: 0.9812, 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: 0.9853, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9723, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
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: 0.9812, 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: 0.9894, 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: 0.9812, 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: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 0.9791, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2108,
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: 0.9812, 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: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
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: 0.9812, 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: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
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: 0.9812, 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: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9796, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.966, kappa: 0.9622, kb_relative_information_score: 0.965, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9663, predictive_accuracy: 0.966, prior_entropy: 3.3219, recall: 0.966, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.2459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9304, kappa: 0.9228, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9306, predictive_accuracy: 0.9305, prior_entropy: 3.3219, recall: 0.9305, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.3521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 0.9658, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.2423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kappa: -0.0017, kb_relative_information_score: 0.0572, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0985, prior_entropy: 3.3219, recall: 0.0985, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.929, kappa: 0.9211, kb_relative_information_score: 0.9299, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9294, predictive_accuracy: 0.929, prior_entropy: 3.3219, recall: 0.929, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3486,
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: 0.9976, f_measure: 0.9535, kappa: 0.9483, kb_relative_information_score: 0.9213, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9538, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3,
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: 0.9984, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 0.9606, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.259,
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: 0.9985, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 0.9624, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, kappa: 0.0139, kb_relative_information_score: 0.0719, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1125, prior_entropy: 3.3219, recall: 0.1125, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9445, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9568, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.082, root_relative_squared_error: 0.2732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 0.9597, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9629, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 0.9636, mean_absolute_error: 0.008, 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: 0.0443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8854, kappa: 0.8728, kb_relative_information_score: 0.8812, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8855, predictive_accuracy: 0.8855, prior_entropy: 3.3219, recall: 0.8855, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9269, kappa: 0.9189, kb_relative_information_score: 0.9237, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.927, predictive_accuracy: 0.927, prior_entropy: 3.3219, recall: 0.927, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.3585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9511, kappa: 0.9456, kb_relative_information_score: 0.9103, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9514, predictive_accuracy: 0.951, prior_entropy: 3.3219, recall: 0.951, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3164,
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: 0.9978, f_measure: 0.9555, kappa: 0.9506, kb_relative_information_score: 0.9224, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9557, predictive_accuracy: 0.9555, prior_entropy: 3.3219, recall: 0.9555, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.2961,
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: 0.9987, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.9657, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9676, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.2411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9486, kappa: 0.9428, kb_relative_information_score: 0.9115, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9489, predictive_accuracy: 0.9485, prior_entropy: 3.3219, recall: 0.9485, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.095, root_relative_squared_error: 0.3165,
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: 0.9984, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 0.9606, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8219, kappa: 0.8011, kb_relative_information_score: 0.813, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8237, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.966, kappa: 0.9622, kb_relative_information_score: 0.9633, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9663, predictive_accuracy: 0.966, prior_entropy: 3.3219, recall: 0.966, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.2503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9565, kappa: 0.9517, kb_relative_information_score: 0.9479, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9568, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 0.9584, mean_absolute_error: 0.0099, 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: 0.0549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.2586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.5335, kappa: 0.4811, kb_relative_information_score: 0.5116, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5344, predictive_accuracy: 0.533, prior_entropy: 3.3219, recall: 0.533, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 0.9628, mean_absolute_error: 0.0084, 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: 0.0465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.2514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 0.9601, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.7197, kappa: 0.6933, kb_relative_information_score: 0.228, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7327, predictive_accuracy: 0.724, prior_entropy: 3.3219, recall: 0.724, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.277, root_relative_squared_error: 0.9233,
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: 0.998, f_measure: 0.9645, kappa: 0.9606, kb_relative_information_score: 0.9552, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.065, 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: 0.9951, f_measure: 0.9276, kappa: 0.9194, kb_relative_information_score: 0.9295, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9282, predictive_accuracy: 0.9275, prior_entropy: 3.3219, recall: 0.9275, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.9647, 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: 0.0446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.2459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 0.9611, mean_absolute_error: 0.009, 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: 0.05, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9585, kappa: 0.9539, kb_relative_information_score: 0.9567, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 3.3219, recall: 0.9585, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2745,
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: 0.9983, f_measure: 0.9606, kappa: 0.9561, kb_relative_information_score: 0.9504, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9609, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.2654,
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: 0.9986, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9618, mean_absolute_error: 0.0089, 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: 0.0494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.2511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9645, kappa: 0.9606, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9648, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.947, kappa: 0.9411, kb_relative_information_score: 0.9376, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9474, predictive_accuracy: 0.947, prior_entropy: 3.3219, recall: 0.947, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2956,
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: 0.9983, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 0.9595, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9612, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.079, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9619, mean_absolute_error: 0.0084, 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: 0.0469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.2594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.5871, kappa: 0.5422, kb_relative_information_score: 0.5691, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5875, predictive_accuracy: 0.588, prior_entropy: 3.3219, recall: 0.588, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.4844, kappa: 0.4272, kb_relative_information_score: 0.4611, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4856, predictive_accuracy: 0.4845, prior_entropy: 3.3219, recall: 0.4845, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.321, root_relative_squared_error: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.966, kappa: 0.9622, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9662, predictive_accuracy: 0.966, prior_entropy: 3.3219, recall: 0.966, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.2557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9258, kappa: 0.9178, kb_relative_information_score: 0.9288, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9262, predictive_accuracy: 0.926, prior_entropy: 3.3219, recall: 0.926, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 0.9625, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.2537,
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: 0.998, f_measure: 0.954, kappa: 0.9489, kb_relative_information_score: 0.9568, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9544, predictive_accuracy: 0.954, prior_entropy: 3.3219, recall: 0.954, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9643, 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: 0.0443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9224, kappa: 0.9139, kb_relative_information_score: 0.8323, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9227, predictive_accuracy: 0.9225, prior_entropy: 3.3219, recall: 0.9225, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.4172,
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: 0.9849, f_measure: 0.8515, kappa: 0.835, kb_relative_information_score: 0.626, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8522, predictive_accuracy: 0.8515, prior_entropy: 3.3219, recall: 0.8515, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.934, kappa: 0.9267, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9342, predictive_accuracy: 0.934, prior_entropy: 3.3219, recall: 0.934, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9618, mean_absolute_error: 0.0084, 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: 0.0469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9511, kappa: 0.9456, kb_relative_information_score: 0.9433, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9515, predictive_accuracy: 0.951, prior_entropy: 3.3219, recall: 0.951, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.089, root_relative_squared_error: 0.2966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9345, kappa: 0.9272, kb_relative_information_score: 0.8789, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9351, predictive_accuracy: 0.9345, prior_entropy: 3.3219, recall: 0.9345, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9576, kappa: 0.9528, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9578, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.966, kappa: 0.9622, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9663, predictive_accuracy: 0.966, prior_entropy: 3.3219, recall: 0.966, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.2586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9549, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9568, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2785,
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: 0.5, 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: 0.4989, kappa: -0.0022, kb_relative_information_score: 0.0567, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.098, prior_entropy: 3.3219, recall: 0.098, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4247, root_relative_squared_error: 1.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 0.9591, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9602, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9396, kappa: 0.9328, kb_relative_information_score: 0.9161, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9401, predictive_accuracy: 0.9395, prior_entropy: 3.3219, recall: 0.9395, relative_absolute_error: 0.1343, 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: 0.9965, f_measure: 0.9329, kappa: 0.9256, kb_relative_information_score: 0.932, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 3.3219, recall: 0.933, relative_absolute_error: 0.0829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.3512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9535, kappa: 0.9483, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9538, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.087, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8257, kappa: 0.8061, kb_relative_information_score: 0.8175, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8264, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9257, kappa: 0.9178, kb_relative_information_score: 0.9279, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9261, predictive_accuracy: 0.926, prior_entropy: 3.3219, recall: 0.926, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.106, root_relative_squared_error: 0.3534,
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: 0.9984, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 0.9586, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 0.9592, mean_absolute_error: 0.0091, 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: 0.0507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.3606, kappa: 0.2844, kb_relative_information_score: 0.3265, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3796, predictive_accuracy: 0.356, prior_entropy: 3.3219, recall: 0.356, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.1963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9556, kappa: 0.9506, kb_relative_information_score: 0.939, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9561, predictive_accuracy: 0.9555, prior_entropy: 3.3219, recall: 0.9555, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 0.9633, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9653, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.076, root_relative_squared_error: 0.2532,
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,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs