OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24074 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.4787, kappa: 0.4728, kb_relative_information_score: 630.5651, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6486, predictive_accuracy: 0.5255, prior_entropy: 3.3219, recall: 0.5255, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8314, kappa: 0.8128, kb_relative_information_score: 40.0412, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8467, kappa: 0.8294, kb_relative_information_score: 50.4715, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8481, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8276, kappa: 0.8078, kb_relative_information_score: 33.1287, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8305, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8101, kappa: 0.785, kb_relative_information_score: 1641.3362, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8152, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7977, kappa: 0.775, kb_relative_information_score: 19.1099, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8005, predictive_accuracy: 0.7975, prior_entropy: 3.3219, recall: 0.7975, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8085, kappa: 0.7833, kb_relative_information_score: 1627.3523, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8135, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.7481, kappa: 0.7117, kb_relative_information_score: 1461.443, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7811, predictive_accuracy: 0.7405, prior_entropy: 3.3219, recall: 0.7405, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8199, kappa: 0.7967, kb_relative_information_score: 1654.1573, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8246, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.5682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.7758, kappa: 0.745, kb_relative_information_score: 1469.6105, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7865, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8186, kappa: 0.7983, kb_relative_information_score: 57.806, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8205, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.8265, kappa: 0.8072, kb_relative_information_score: 21.3821, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8292, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8397, kappa: 0.8222, kb_relative_information_score: 28.7493, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8432, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.764, kappa: 0.7378, kb_relative_information_score: 10.197, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7682, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.81, kappa: 0.7889, kb_relative_information_score: 60.0398, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8111, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.7627, kappa: 0.7294, kb_relative_information_score: 1265.6549, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7787, predictive_accuracy: 0.7565, prior_entropy: 3.3219, recall: 0.7565, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8066, kappa: 0.7806, kb_relative_information_score: 1629.0698, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8126, predictive_accuracy: 0.8025, prior_entropy: 3.3219, recall: 0.8025, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.751, kappa: 0.7228, kb_relative_information_score: 6.7378, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7751, predictive_accuracy: 0.7505, prior_entropy: 3.3219, recall: 0.7505, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.5758, kappa: 0.5406, kb_relative_information_score: 1058.7969, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.684, predictive_accuracy: 0.5865, prior_entropy: 3.3219, recall: 0.5865, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8265, kappa: 0.8067, kb_relative_information_score: 41.7414, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.6646, kappa: 0.6433, kb_relative_information_score: 16.2742, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6746, predictive_accuracy: 0.679, prior_entropy: 3.3219, recall: 0.679, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.7993, kappa: 0.7711, kb_relative_information_score: 1556.1134, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8118, predictive_accuracy: 0.794, prior_entropy: 3.3219, recall: 0.794, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.5636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8014, kappa: 0.775, kb_relative_information_score: 1578.8961, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8103, predictive_accuracy: 0.7975, prior_entropy: 3.3219, recall: 0.7975, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8446, kappa: 0.8272, kb_relative_information_score: 51.4919, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8456, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.6397, kappa: 0.595, kb_relative_information_score: 1263.205, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7353, predictive_accuracy: 0.6355, prior_entropy: 3.3219, recall: 0.6355, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, kappa: 0.3094, kb_relative_information_score: 7.0251, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3785, prior_entropy: 3.3219, recall: 0.3785, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.7126, kappa: 0.6744, kb_relative_information_score: 1334.9041, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7694, predictive_accuracy: 0.707, prior_entropy: 3.3219, recall: 0.707, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8528, kappa: 0.8361, kb_relative_information_score: 50.9509, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8538, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.6585, kappa: 0.6033, kb_relative_information_score: 1049.1622, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7016, predictive_accuracy: 0.643, prior_entropy: 3.3219, recall: 0.643, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.6261, kappa: 0.5922, kb_relative_information_score: 1032.7447, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7258, predictive_accuracy: 0.633, prior_entropy: 3.3219, recall: 0.633, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8327, kappa: 0.8139, kb_relative_information_score: 37.8202, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8352, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8437, kappa: 0.8267, kb_relative_information_score: 54.5208, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8092, kappa: 0.7872, kb_relative_information_score: 17.0039, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8113, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8045, kappa: 0.7794, kb_relative_information_score: 1622.2232, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8091, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8275, kappa: 0.8072, kb_relative_information_score: 1676.7034, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8296, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8102, kappa: 0.7833, kb_relative_information_score: 1642.8867, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8213, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.7957, kappa: 0.7689, kb_relative_information_score: 1620.0468, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8033, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.825, kappa: 0.8044, kb_relative_information_score: 30.9619, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8281, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.7743, kappa: 0.7494, kb_relative_information_score: 21.0075, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7778, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8453, kappa: 0.8272, kb_relative_information_score: 39.7141, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8469, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.7889, kappa: 0.7678, kb_relative_information_score: 11.5856, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7929, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, kappa: 0.4794, kb_relative_information_score: 630.9006, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.5315, prior_entropy: 3.3219, recall: 0.5315, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.5961, kappa: 0.5417, kb_relative_information_score: 630.6191, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6541, predictive_accuracy: 0.5875, prior_entropy: 3.3219, recall: 0.5875, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8249, kappa: 0.8056, kb_relative_information_score: 44.2702, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8271, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8188, kappa: 0.7944, kb_relative_information_score: 1649.058, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8249, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.7917, kappa: 0.7639, kb_relative_information_score: 1592.4142, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8059, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.5775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.6812, kappa: 0.6417, kb_relative_information_score: 1334.1998, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7547, predictive_accuracy: 0.6775, prior_entropy: 3.3219, recall: 0.6775, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8396, kappa: 0.8206, kb_relative_information_score: 34.5156, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8423, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8473, kappa: 0.8294, kb_relative_information_score: 37.2785, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8493, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8344, kappa: 0.8161, kb_relative_information_score: 37.2495, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8377, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.7995, kappa: 0.7717, kb_relative_information_score: 1621.9341, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8088, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8291, kappa: 0.81, kb_relative_information_score: 41.1134, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8314, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8221, kappa: 0.7994, kb_relative_information_score: 1645.7307, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8254, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.7454, kappa: 0.7206, kb_relative_information_score: 6.6449, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7642, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8259, kappa: 0.8067, kb_relative_information_score: 47.5835, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8288, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8478, kappa: 0.8306, kb_relative_information_score: 42.9392, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8492, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.9944, 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: 0.9833, f_measure: 0.846, kappa: 0.8283, kb_relative_information_score: 46.6205, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8474, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8277, kappa: 0.8067, kb_relative_information_score: 1687.6346, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8305, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8118, kappa: 0.7878, kb_relative_information_score: 1623.3929, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8153, predictive_accuracy: 0.809, prior_entropy: 3.3219, recall: 0.809, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.5941, kappa: 0.545, kb_relative_information_score: 657.9021, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6047, predictive_accuracy: 0.5905, prior_entropy: 3.3219, recall: 0.5905, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8219, kappa: 0.7994, kb_relative_information_score: 1654.8874, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8257, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.7889, kappa: 0.765, kb_relative_information_score: 37.8492, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7913, predictive_accuracy: 0.7885, prior_entropy: 3.3219, recall: 0.7885, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8474, kappa: 0.8294, kb_relative_information_score: 39.2419, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8494, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.7136, kappa: 0.6739, kb_relative_information_score: 1349.1964, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7766, predictive_accuracy: 0.7065, prior_entropy: 3.3219, recall: 0.7065, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8353, kappa: 0.8161, kb_relative_information_score: 29.1391, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8373, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8107, kappa: 0.785, kb_relative_information_score: 1633.5943, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8197, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8372, kappa: 0.8178, kb_relative_information_score: 39.0009, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8396, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8012, kappa: 0.7811, kb_relative_information_score: 12.0384, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8095, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8324, kappa: 0.8144, kb_relative_information_score: 44.9733, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8338, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8194, kappa: 0.7961, kb_relative_information_score: 1689.9676, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8252, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.825, kappa: 0.8033, kb_relative_information_score: 1682.0938, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8284, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8141, kappa: 0.7894, kb_relative_information_score: 1640.9801, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8196, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8073, kappa: 0.7839, kb_relative_information_score: 1622.1954, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8154, kappa: 0.7933, kb_relative_information_score: 24.3537, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8187, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.7832, kappa: 0.7511, kb_relative_information_score: 1526.6968, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8047, predictive_accuracy: 0.776, prior_entropy: 3.3219, recall: 0.776, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8231, kappa: 0.805, kb_relative_information_score: 20.2683, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8276, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8397, kappa: 0.8217, kb_relative_information_score: 44.2711, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8295, kappa: 0.8083, kb_relative_information_score: 23.5256, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.7553, kappa: 0.7317, kb_relative_information_score: 7.5156, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7703, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8321, kappa: 0.8128, kb_relative_information_score: 44.0784, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.834, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.7845, kappa: 0.7522, kb_relative_information_score: 1565.3639, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8008, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7357, kappa: 0.6972, kb_relative_information_score: 1038.2326, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7631, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8042, kappa: 0.7767, kb_relative_information_score: 1615.5241, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.814, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.7501, kappa: 0.7256, kb_relative_information_score: 10.9379, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7571, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8288, kappa: 0.8094, kb_relative_information_score: 44.2661, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8314, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.5873, kappa: 0.565, kb_relative_information_score: 1027.6833, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7025, predictive_accuracy: 0.6085, prior_entropy: 3.3219, recall: 0.6085, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8238, kappa: 0.8039, kb_relative_information_score: 57.1082, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.826, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.79, kappa: 0.7589, kb_relative_information_score: 1299.3785, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8113, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8247, kappa: 0.8056, kb_relative_information_score: 18.1533, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8261, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8397, kappa: 0.8217, kb_relative_information_score: 50.0835, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8414, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8443, kappa: 0.8261, kb_relative_information_score: 32.9058, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8177, kappa: 0.7972, kb_relative_information_score: 1547.5739, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8025, kappa: 0.7806, kb_relative_information_score: 1532.4246, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8039, predictive_accuracy: 0.8025, prior_entropy: 3.3219, recall: 0.8025, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8159, kappa: 0.7961, kb_relative_information_score: 1555.6069, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8162, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8311, kappa: 0.8133, kb_relative_information_score: 1540.4651, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8315, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.834, kappa: 0.815, kb_relative_information_score: 1563.7264, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8351, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8275, kappa: 0.8083, kb_relative_information_score: 1574.6452, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.5294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8122, kappa: 0.7917, kb_relative_information_score: 1505.5712, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8138, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8163, kappa: 0.7978, kb_relative_information_score: 1416.5764, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8171, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8297, kappa: 0.8106, kb_relative_information_score: 1598.634, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8312, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5213,

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