OpenML
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14968 Supervised Classification cylinder-bands 12489 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7246, kappa: 0.4323, kb_relative_information_score: 174.2611, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7257, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7401, kappa: 0.4645, kb_relative_information_score: 168.8732, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7409, predictive_accuracy: 0.7426, prior_entropy: 0.9826, recall: 0.7426, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.6194, kappa: 0.2734, kb_relative_information_score: 183.4943, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7947, predictive_accuracy: 0.6815, prior_entropy: 0.9826, recall: 0.6815, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.6925, kappa: 0.3849, kb_relative_information_score: 226.7267, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7683, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.6396, kappa: 0.3033, kb_relative_information_score: 197.6134, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7873, predictive_accuracy: 0.6926, prior_entropy: 0.9826, recall: 0.6926, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.6194, kappa: 0.2734, kb_relative_information_score: 93.257, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7947, predictive_accuracy: 0.6815, prior_entropy: 0.9826, recall: 0.6815, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.671, kappa: 0.35, kb_relative_information_score: 210.3636, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7711, predictive_accuracy: 0.7093, prior_entropy: 0.9826, recall: 0.7093, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.6797, kappa: 0.3645, kb_relative_information_score: 216.0054, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7717, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.6075, kappa: 0.2545, kb_relative_information_score: 172.0338, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7916, predictive_accuracy: 0.6741, prior_entropy: 0.9826, recall: 0.6741, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5688, root_relative_squared_error: 1.1516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.6194, kappa: 0.2734, kb_relative_information_score: 93.257, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7947, predictive_accuracy: 0.6815, prior_entropy: 0.9826, recall: 0.6815, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7311, kappa: 0.4462, kb_relative_information_score: 203.9243, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7314, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7283, kappa: 0.4401, kb_relative_information_score: 165.8019, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7295, predictive_accuracy: 0.7315, prior_entropy: 0.9826, recall: 0.7315, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.6999, kappa: 0.3962, kb_relative_information_score: 225.2566, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7637, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7246, kappa: 0.4336, kb_relative_information_score: 167.3925, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7243, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.6194, kappa: 0.2734, kb_relative_information_score: 93.257, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7947, predictive_accuracy: 0.6815, prior_entropy: 0.9826, recall: 0.6815, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7609, kappa: 0.5095, kb_relative_information_score: 267.3202, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7607, predictive_accuracy: 0.7611, prior_entropy: 0.9826, recall: 0.7611, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.6825, kappa: 0.3669, kb_relative_information_score: 214.6084, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7627, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.6781, kappa: 0.3607, kb_relative_information_score: 215.1756, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7672, predictive_accuracy: 0.713, prior_entropy: 0.9826, recall: 0.713, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.735, kappa: 0.4535, kb_relative_information_score: 160.985, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7375, predictive_accuracy: 0.7389, prior_entropy: 0.9826, recall: 0.7389, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7638, kappa: 0.5131, kb_relative_information_score: 200.521, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7659, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7055, kappa: 0.4059, kb_relative_information_score: 236.0666, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7644, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.5922, kappa: 0.2308, kb_relative_information_score: 164.0977, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7879, predictive_accuracy: 0.6648, prior_entropy: 0.9826, recall: 0.6648, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5726, root_relative_squared_error: 1.1594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.6807, kappa: 0.3653, kb_relative_information_score: 217.3593, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7685, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7594, kappa: 0.5048, kb_relative_information_score: 216.5719, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7597, predictive_accuracy: 0.7611, prior_entropy: 0.9826, recall: 0.7611, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.6991, kappa: 0.3976, kb_relative_information_score: 233.449, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7751, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.6868, kappa: 0.3668, kb_relative_information_score: 133.207, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7356, predictive_accuracy: 0.7111, prior_entropy: 0.9826, recall: 0.7111, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6752, kappa: 0.3583, kb_relative_information_score: 211.9028, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7773, predictive_accuracy: 0.713, prior_entropy: 0.9826, recall: 0.713, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.6194, kappa: 0.2734, kb_relative_information_score: 93.257, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7947, predictive_accuracy: 0.6815, prior_entropy: 0.9826, recall: 0.6815, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.6238, kappa: 0.279, kb_relative_information_score: 191.4558, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7886, predictive_accuracy: 0.6833, prior_entropy: 0.9826, recall: 0.6833, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.6194, kappa: 0.2734, kb_relative_information_score: 93.257, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7947, predictive_accuracy: 0.6815, prior_entropy: 0.9826, recall: 0.6815, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.6238, kappa: 0.279, kb_relative_information_score: 190.4781, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7886, predictive_accuracy: 0.6833, prior_entropy: 0.9826, recall: 0.6833, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.0935,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7171, kappa: 0.4183, kb_relative_information_score: 167.1926, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7168, predictive_accuracy: 0.7185, prior_entropy: 0.9826, recall: 0.7185, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 178.6623, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.566, root_relative_squared_error: 1.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7493, kappa: 0.4849, kb_relative_information_score: 261.5774, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9826, recall: 0.75, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.6825, kappa: 0.3669, kb_relative_information_score: 214.5724, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7627, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7812, kappa: 0.5493, kb_relative_information_score: 155.6169, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7826, predictive_accuracy: 0.7833, prior_entropy: 0.9826, recall: 0.7833, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.618, kappa: 0.2696, kb_relative_information_score: 184.2729, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7868, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.6194, kappa: 0.2734, kb_relative_information_score: 184.0431, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7947, predictive_accuracy: 0.6815, prior_entropy: 0.9826, recall: 0.6815, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5597, root_relative_squared_error: 1.1331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.618, kappa: 0.2696, kb_relative_information_score: 184.6963, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7868, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7323, kappa: 0.4484, kb_relative_information_score: 179.2568, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7333, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.6736, kappa: 0.3545, kb_relative_information_score: 210.8808, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7724, predictive_accuracy: 0.7111, prior_entropy: 0.9826, recall: 0.7111, relative_absolute_error: 0.6057, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.6194, kappa: 0.2734, kb_relative_information_score: 93.257, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7947, predictive_accuracy: 0.6815, prior_entropy: 0.9826, recall: 0.6815, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.6975, kappa: 0.3917, kb_relative_information_score: 223.702, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7623, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7535, kappa: 0.4924, kb_relative_information_score: 214.7406, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7541, predictive_accuracy: 0.7556, prior_entropy: 0.9826, recall: 0.7556, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 178.2938, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.1464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.6999, kappa: 0.3962, kb_relative_information_score: 225.4964, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7637, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7426, kappa: 0.47, kb_relative_information_score: 201.2696, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7428, predictive_accuracy: 0.7444, prior_entropy: 0.9826, recall: 0.7444, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7685, kappa: 0.5232, kb_relative_information_score: 247.3111, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7692, predictive_accuracy: 0.7704, prior_entropy: 0.9826, recall: 0.7704, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7155, kappa: 0.4141, kb_relative_information_score: 163.915, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7256, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7548, kappa: 0.4947, kb_relative_information_score: 200.6873, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7561, predictive_accuracy: 0.7574, prior_entropy: 0.9826, recall: 0.7574, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7065, kappa: 0.3961, kb_relative_information_score: 148.7429, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.719, predictive_accuracy: 0.7167, prior_entropy: 0.9826, recall: 0.7167, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7269, kappa: 0.4372, kb_relative_information_score: 163.8008, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7276, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7416, kappa: 0.4671, kb_relative_information_score: 184.5782, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.746, predictive_accuracy: 0.7463, prior_entropy: 0.9826, recall: 0.7463, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7193, kappa: 0.4231, kb_relative_information_score: 164.0708, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7189, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7204, kappa: 0.4246, kb_relative_information_score: 169.4087, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7202, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7478, kappa: 0.4805, kb_relative_information_score: 198.7575, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7484, predictive_accuracy: 0.75, prior_entropy: 0.9826, recall: 0.75, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7023, kappa: 0.3915, kb_relative_information_score: 136.4053, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7302, predictive_accuracy: 0.7185, prior_entropy: 0.9826, recall: 0.7185, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7021, kappa: 0.3928, kb_relative_information_score: 139.0551, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7365, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.7315, kappa: 0.4465, kb_relative_information_score: 160.8992, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7335, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7276, kappa: 0.4392, kb_relative_information_score: 171.0445, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7277, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7223, kappa: 0.4284, kb_relative_information_score: 149.1296, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7348, predictive_accuracy: 0.7315, prior_entropy: 0.9826, recall: 0.7315, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7254, kappa: 0.4344, kb_relative_information_score: 170.8512, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7257, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 91.8395, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9196,

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