OpenML
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 25530 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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25530 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.949, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.18, weighted_recall: 0.973, number_of_instances: 2000, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 3.3219, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.229, unweighted_recall: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.7919, kappa: 0.715, kb_relative_information_score: 0.4268, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.18, weighted_recall: 0.7435, number_of_instances: 2000, precision: 0.9249, predictive_accuracy: 0.7435, prior_entropy: 3.3219, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.7914, unweighted_recall: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9661, kappa: 0.9622, kb_relative_information_score: 0.9349, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.18, weighted_recall: 0.966, number_of_instances: 2000, precision: 0.9664, predictive_accuracy: 0.966, prior_entropy: 3.3219, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.2636, unweighted_recall: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.954, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2097, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9616, kappa: 0.9572, kb_relative_information_score: 0.9222, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.18, weighted_recall: 0.9615, number_of_instances: 2000, precision: 0.9618, predictive_accuracy: 0.9615, prior_entropy: 3.3219, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.2889, unweighted_recall: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, kappa: 0.0022, kb_relative_information_score: 0.0008, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.102, number_of_instances: 2000, predictive_accuracy: 0.102, prior_entropy: 3.3219, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003, unweighted_recall: 0.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9673, kappa: 0.9633, kb_relative_information_score: 0.9337, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.18, weighted_recall: 0.967, number_of_instances: 2000, precision: 0.9681, predictive_accuracy: 0.967, prior_entropy: 3.3219, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.2636, unweighted_recall: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9615, kappa: 0.9572, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9619, predictive_accuracy: 0.9615, prior_entropy: 3.3219, recall: 0.9615, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.2593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 0.9597, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9624, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 0.959, mean_absolute_error: 0.0095, 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: 0.0528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.2595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9645, kappa: 0.9606, kb_relative_information_score: 0.9615, mean_absolute_error: 0.0099, 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: 0.055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.2439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9398, kappa: 0.9328, kb_relative_information_score: 0.9367, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9406, predictive_accuracy: 0.9395, prior_entropy: 3.3219, recall: 0.9395, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.11, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9143, kappa: 0.905, kb_relative_information_score: 0.7941, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.915, predictive_accuracy: 0.9145, prior_entropy: 3.3219, recall: 0.9145, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9386, kappa: 0.9317, kb_relative_information_score: 0.9241, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9391, predictive_accuracy: 0.9385, prior_entropy: 3.3219, recall: 0.9385, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.9528, kb_relative_information_score: 0.9501, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9601, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.0813, 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: 0.9, f_measure: 0.8199, kappa: 0.8, kb_relative_information_score: 0.8118, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8209, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8587, kappa: 0.8428, kb_relative_information_score: 0.8633, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8598, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9129, kappa: 0.9033, kb_relative_information_score: 0.7633, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9153, predictive_accuracy: 0.913, prior_entropy: 3.3219, recall: 0.913, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9386, kappa: 0.9317, kb_relative_information_score: 0.9241, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9391, predictive_accuracy: 0.9385, prior_entropy: 3.3219, recall: 0.9385, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8199, kappa: 0.8, kb_relative_information_score: 0.8118, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8209, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8587, kappa: 0.8428, kb_relative_information_score: 0.8633, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8598, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.9528, kb_relative_information_score: 0.9501, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9601, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.0813, 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: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9129, kappa: 0.9033, kb_relative_information_score: 0.7633, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9153, predictive_accuracy: 0.913, prior_entropy: 3.3219, recall: 0.913, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5252,
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: 0.0095, 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: 0.0529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 0.9588, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9624, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.2587,
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: 0.0095, 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: 0.0529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9614, mean_absolute_error: 0.0089, 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: 0.0496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, recall: 0.1875, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 0.8064, mean_absolute_error: 0.0636, 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: 0.3532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 0.8046, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9616, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.4425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8047, kappa: 0.7844, kb_relative_information_score: 0.7992, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.805, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8086, kappa: 0.7883, kb_relative_information_score: 0.8035, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8088, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9124, kappa: 0.9028, kb_relative_information_score: 0.9083, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9127, predictive_accuracy: 0.9125, prior_entropy: 3.3219, recall: 0.9125, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 0.298, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.927, kappa: 0.9189, kb_relative_information_score: 0.2928, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9283, predictive_accuracy: 0.927, prior_entropy: 3.3219, recall: 0.927, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9353, kappa: 0.9278, kb_relative_information_score: 0.9355, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9371, predictive_accuracy: 0.935, prior_entropy: 3.3219, recall: 0.935, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.3519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9681, 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: 0.9689, 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: 0.9833, f_measure: 0.9702, kappa: 0.9667, kb_relative_information_score: 0.9686, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.971, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.0333, 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: 0.6008, f_measure: 0.2568, kappa: 0.2017, kb_relative_information_score: 0.2486, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2955, predictive_accuracy: 0.2815, prior_entropy: 3.3219, recall: 0.2815, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3791, root_relative_squared_error: 1.2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.2012, kappa: 0.1683, kb_relative_information_score: 0.2173, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.2515, prior_entropy: 3.3219, recall: 0.2515, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.2897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.3328, kappa: 0.2661, kb_relative_information_score: 0.3093, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3442, predictive_accuracy: 0.3395, prior_entropy: 3.3219, recall: 0.3395, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3635, root_relative_squared_error: 1.2115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9835, kappa: 0.9817, kb_relative_information_score: 0.9827, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 3.3219, recall: 0.9835, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.3488, kappa: 0.2822, kb_relative_information_score: 0.3244, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3571, predictive_accuracy: 0.354, prior_entropy: 3.3219, recall: 0.354, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3594, root_relative_squared_error: 1.1981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.2012, kappa: 0.1683, kb_relative_information_score: 0.2173, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.2515, prior_entropy: 3.3219, recall: 0.2515, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.2897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.3488, kappa: 0.2822, kb_relative_information_score: 0.3244, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3571, predictive_accuracy: 0.354, prior_entropy: 3.3219, recall: 0.354, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3594, root_relative_squared_error: 1.1981,
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: 0.6122, f_measure: 0.2963, kappa: 0.2244, kb_relative_information_score: 0.2701, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3118, predictive_accuracy: 0.302, prior_entropy: 3.3219, recall: 0.302, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3736, root_relative_squared_error: 1.2454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.3119, kappa: 0.24, kb_relative_information_score: 0.2847, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3251, predictive_accuracy: 0.316, prior_entropy: 3.3219, recall: 0.316, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3699, root_relative_squared_error: 1.2329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.1743, kappa: 0.1028, kb_relative_information_score: 0.1556, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.911, predictive_accuracy: 0.1925, prior_entropy: 3.3219, recall: 0.1925, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4019, root_relative_squared_error: 1.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9763, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.3316, kappa: 0.2622, kb_relative_information_score: 0.3056, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3448, predictive_accuracy: 0.336, prior_entropy: 3.3219, recall: 0.336, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3644, root_relative_squared_error: 1.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.3316, kappa: 0.2622, kb_relative_information_score: 0.3056, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3448, predictive_accuracy: 0.336, prior_entropy: 3.3219, recall: 0.336, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3644, root_relative_squared_error: 1.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.2382, kappa: 0.1733, kb_relative_information_score: 0.222, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2833, predictive_accuracy: 0.256, prior_entropy: 3.3219, recall: 0.256, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.2382, kappa: 0.1733, kb_relative_information_score: 0.222, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2833, predictive_accuracy: 0.256, prior_entropy: 3.3219, recall: 0.256, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.2963, kappa: 0.2244, kb_relative_information_score: 0.2701, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3118, predictive_accuracy: 0.302, prior_entropy: 3.3219, recall: 0.302, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3736, root_relative_squared_error: 1.2454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9681, 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: 0.9689, 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: 0.6594, f_measure: 0.4461, kappa: 0.3189, kb_relative_information_score: 0.359, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.914, predictive_accuracy: 0.387, prior_entropy: 3.3219, recall: 0.387, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3501, root_relative_squared_error: 1.1671,
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: 0.9831, 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: 0.9702, 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: 0.8044, f_measure: 0.6475, kappa: 0.6089, kb_relative_information_score: 0.6319, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6565, predictive_accuracy: 0.648, prior_entropy: 3.3219, recall: 0.648, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.8844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.6475, kappa: 0.6089, kb_relative_information_score: 0.6319, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6565, predictive_accuracy: 0.648, prior_entropy: 3.3219, recall: 0.648, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.8844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.554, kappa: 0.5056, kb_relative_information_score: 0.5346, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5685, predictive_accuracy: 0.555, prior_entropy: 3.3219, recall: 0.555, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.3316, kappa: 0.2622, kb_relative_information_score: 0.3056, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3448, predictive_accuracy: 0.336, prior_entropy: 3.3219, recall: 0.336, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3644, root_relative_squared_error: 1.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9576, kappa: 0.9528, kb_relative_information_score: 0.9556, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9583, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9825, kappa: 0.9806, kb_relative_information_score: 0.9817, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 3.3219, recall: 0.9825, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.2417, kappa: 0.1772, kb_relative_information_score: 0.2256, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2661, predictive_accuracy: 0.2595, prior_entropy: 3.3219, recall: 0.2595, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.2828,
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: 0.9702, 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: 0.5514, f_measure: 0.1743, kappa: 0.1028, kb_relative_information_score: 0.1556, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.911, predictive_accuracy: 0.1925, prior_entropy: 3.3219, recall: 0.1925, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4019, root_relative_squared_error: 1.3396,
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: 0.9702, 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: 0.9425, f_measure: 0.8969, kappa: 0.885, kb_relative_information_score: 0.8918, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8991, predictive_accuracy: 0.8965, prior_entropy: 3.3219, recall: 0.8965, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9825, kappa: 0.9806, kb_relative_information_score: 0.9817, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 3.3219, recall: 0.9825, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9825, kappa: 0.9806, kb_relative_information_score: 0.9817, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 3.3219, recall: 0.9825, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.2417, kappa: 0.1772, kb_relative_information_score: 0.2256, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2661, predictive_accuracy: 0.2595, prior_entropy: 3.3219, recall: 0.2595, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.2828,
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: 0.9693, 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: 0.9833, f_measure: 0.9702, kappa: 0.9667, kb_relative_information_score: 0.9686, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.971, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.0333, 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: 0.6594, f_measure: 0.4461, kappa: 0.3189, kb_relative_information_score: 0.359, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.914, predictive_accuracy: 0.387, prior_entropy: 3.3219, recall: 0.387, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3501, root_relative_squared_error: 1.1671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8969, kappa: 0.885, kb_relative_information_score: 0.8918, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8991, predictive_accuracy: 0.8965, prior_entropy: 3.3219, recall: 0.8965, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4796,
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: 0.9693, 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: 0.5867, f_measure: 0.2382, kappa: 0.1733, kb_relative_information_score: 0.222, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2833, predictive_accuracy: 0.256, prior_entropy: 3.3219, recall: 0.256, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2858,
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: 0.9702, 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: 0.51, f_measure: 0.0537, kappa: 0.02, kb_relative_information_score: 0.0776, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.118, prior_entropy: 3.3219, recall: 0.118, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.42, root_relative_squared_error: 1.4,
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: 0.9831, 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: 0.9702, 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: 0.6667, f_measure: 0.3933, kappa: 0.3333, kb_relative_information_score: 0.3725, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4011, predictive_accuracy: 0.4, prior_entropy: 3.3219, recall: 0.4, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.1547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.226, kappa: 0.1883, kb_relative_information_score: 0.2361, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7171, predictive_accuracy: 0.2695, prior_entropy: 3.3219, recall: 0.2695, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3822, root_relative_squared_error: 1.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.3488, kappa: 0.2822, kb_relative_information_score: 0.3244, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3571, predictive_accuracy: 0.354, prior_entropy: 3.3219, recall: 0.354, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3594, root_relative_squared_error: 1.1981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.0537, kappa: 0.02, kb_relative_information_score: 0.0776, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.118, prior_entropy: 3.3219, recall: 0.118, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.42, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.3119, kappa: 0.24, kb_relative_information_score: 0.2847, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3251, predictive_accuracy: 0.316, prior_entropy: 3.3219, recall: 0.316, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3699, root_relative_squared_error: 1.2329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.0537, kappa: 0.02, kb_relative_information_score: 0.0776, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.118, prior_entropy: 3.3219, recall: 0.118, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.42, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.3266, kappa: 0.2594, kb_relative_information_score: 0.303, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.337, predictive_accuracy: 0.3335, prior_entropy: 3.3219, recall: 0.3335, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9396, kappa: 0.9328, kb_relative_information_score: 0.9367, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9407, predictive_accuracy: 0.9395, prior_entropy: 3.3219, recall: 0.9395, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.11, root_relative_squared_error: 0.3667,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs