OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91909 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7835, kappa: 0.5617, kb_relative_information_score: 0.5593, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7836, predictive_accuracy: 0.7835, prior_entropy: 0.9911, recall: 0.7835, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7835, kappa: 0.5617, kb_relative_information_score: 0.5593, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7836, predictive_accuracy: 0.7835, prior_entropy: 0.9911, recall: 0.7835, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9774, kappa: 0.9545, kb_relative_information_score: 0.954, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9784, predictive_accuracy: 0.9774, prior_entropy: 0.9911, recall: 0.9774, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7536, kappa: 0.5008, kb_relative_information_score: 0.4985, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7535, predictive_accuracy: 0.7536, prior_entropy: 0.9911, recall: 0.7536, relative_absolute_error: 0.4988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 0.9599, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9911, recall: 0.9803, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.5649, kappa: 0.1191, kb_relative_information_score: 0.1141, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5649, predictive_accuracy: 0.5649, prior_entropy: 0.9911, recall: 0.5649, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6596, root_relative_squared_error: 1.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 0.9837, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.9911, recall: 0.992, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6411, kappa: 0.2744, kb_relative_information_score: 0.2685, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6418, predictive_accuracy: 0.6407, prior_entropy: 0.9911, recall: 0.6407, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5994, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6411, kappa: 0.2744, kb_relative_information_score: 0.2685, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6418, predictive_accuracy: 0.6407, prior_entropy: 0.9911, recall: 0.6407, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5994, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9774, kappa: 0.9545, kb_relative_information_score: 0.954, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9784, predictive_accuracy: 0.9774, prior_entropy: 0.9911, recall: 0.9774, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7545, kappa: 0.5032, kb_relative_information_score: 0.4999, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7547, predictive_accuracy: 0.7544, prior_entropy: 0.9911, recall: 0.7544, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6411, kappa: 0.2744, kb_relative_information_score: 0.2685, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6418, predictive_accuracy: 0.6407, prior_entropy: 0.9911, recall: 0.6407, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5994, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7236, kappa: 0.4402, kb_relative_information_score: 0.4376, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7235, predictive_accuracy: 0.7238, prior_entropy: 0.9911, recall: 0.7238, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.0577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7495, kappa: 0.4931, kb_relative_information_score: 0.4896, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7497, predictive_accuracy: 0.7493, prior_entropy: 0.9911, recall: 0.7493, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.5649, kappa: 0.1191, kb_relative_information_score: 0.1141, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5649, predictive_accuracy: 0.5649, prior_entropy: 0.9911, recall: 0.5649, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6596, root_relative_squared_error: 1.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9592, kappa: 0.9175, kb_relative_information_score: 0.9169, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 0.9911, recall: 0.9592, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 0.9703, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9859, predictive_accuracy: 0.9854, prior_entropy: 0.9911, recall: 0.9854, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.5649, kappa: 0.1191, kb_relative_information_score: 0.1141, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5649, predictive_accuracy: 0.5649, prior_entropy: 0.9911, recall: 0.5649, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6596, root_relative_squared_error: 1.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.5108, kappa: 0.0092, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5107, predictive_accuracy: 0.5109, prior_entropy: 0.9911, recall: 0.5109, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6993, root_relative_squared_error: 1.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.997, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7229, kappa: 0.451, kb_relative_information_score: 0.4732, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7798, predictive_accuracy: 0.7413, prior_entropy: 0.9911, recall: 0.7413, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.976, kappa: 0.9516, kb_relative_information_score: 0.951, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9772, predictive_accuracy: 0.9759, prior_entropy: 0.9911, recall: 0.9759, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8892, kappa: 0.7757, kb_relative_information_score: 0.7745, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8892, predictive_accuracy: 0.8892, prior_entropy: 0.9911, recall: 0.8892, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7603, kappa: 0.515, kb_relative_information_score: 0.5118, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7605, predictive_accuracy: 0.7602, prior_entropy: 0.9911, recall: 0.7602, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7236, kappa: 0.4402, kb_relative_information_score: 0.4376, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7235, predictive_accuracy: 0.7238, prior_entropy: 0.9911, recall: 0.7238, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.0577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8855, kappa: 0.7679, kb_relative_information_score: 0.767, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8855, predictive_accuracy: 0.8856, prior_entropy: 0.9911, recall: 0.8856, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.5649, kappa: 0.1191, kb_relative_information_score: 0.1141, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5649, predictive_accuracy: 0.5649, prior_entropy: 0.9911, recall: 0.5649, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6596, root_relative_squared_error: 1.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7604, kappa: 0.5153, kb_relative_information_score: 0.5118, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7607, predictive_accuracy: 0.7602, prior_entropy: 0.9911, recall: 0.7602, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8934, kappa: 0.7837, kb_relative_information_score: 0.7834, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8936, predictive_accuracy: 0.8936, prior_entropy: 0.9911, recall: 0.8936, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7545, kappa: 0.5032, kb_relative_information_score: 0.4999, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7547, predictive_accuracy: 0.7544, prior_entropy: 0.9911, recall: 0.7544, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7229, kappa: 0.451, kb_relative_information_score: 0.4732, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7798, predictive_accuracy: 0.7413, prior_entropy: 0.9911, recall: 0.7413, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.992, kappa: 0.9837, kb_relative_information_score: 0.9837, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.9911, recall: 0.992, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.997, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8855, kappa: 0.7679, kb_relative_information_score: 0.767, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8855, predictive_accuracy: 0.8856, prior_entropy: 0.9911, recall: 0.8856, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8892, kappa: 0.7757, kb_relative_information_score: 0.7745, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8892, predictive_accuracy: 0.8892, prior_entropy: 0.9911, recall: 0.8892, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.997, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6411, kappa: 0.2744, kb_relative_information_score: 0.2685, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6418, predictive_accuracy: 0.6407, prior_entropy: 0.9911, recall: 0.6407, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5994, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.4394, kappa: 0.0489, kb_relative_information_score: 0.1349, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7593, predictive_accuracy: 0.5751, prior_entropy: 0.9911, recall: 0.5751, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.997, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7835, kappa: 0.5617, kb_relative_information_score: 0.5593, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7836, predictive_accuracy: 0.7835, prior_entropy: 0.9911, recall: 0.7835, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7545, kappa: 0.5032, kb_relative_information_score: 0.4999, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7547, predictive_accuracy: 0.7544, prior_entropy: 0.9911, recall: 0.7544, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8141, kappa: 0.6234, kb_relative_information_score: 0.6216, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.814, predictive_accuracy: 0.8141, prior_entropy: 0.9911, recall: 0.8141, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9833, kappa: 0.9662, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9838, predictive_accuracy: 0.9832, prior_entropy: 0.9911, recall: 0.9832, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9905, kappa: 0.9809, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9907, predictive_accuracy: 0.9905, prior_entropy: 0.9911, recall: 0.9905, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.1959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9833, kappa: 0.9662, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9838, predictive_accuracy: 0.9832, prior_entropy: 0.9911, recall: 0.9832, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.976, kappa: 0.9516, kb_relative_information_score: 0.951, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9772, predictive_accuracy: 0.9759, prior_entropy: 0.9911, recall: 0.9759, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6513, kappa: 0.2953, kb_relative_information_score: 0.2892, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6521, predictive_accuracy: 0.6509, prior_entropy: 0.9911, recall: 0.6509, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5909, root_relative_squared_error: 1.1891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6513, kappa: 0.2953, kb_relative_information_score: 0.2892, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6521, predictive_accuracy: 0.6509, prior_entropy: 0.9911, recall: 0.6509, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5909, root_relative_squared_error: 1.1891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7495, kappa: 0.4931, kb_relative_information_score: 0.4896, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7497, predictive_accuracy: 0.7493, prior_entropy: 0.9911, recall: 0.7493, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9592, kappa: 0.9175, kb_relative_information_score: 0.9169, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 0.9911, recall: 0.9592, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.997, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6411, kappa: 0.2744, kb_relative_information_score: 0.2685, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6418, predictive_accuracy: 0.6407, prior_entropy: 0.9911, recall: 0.6407, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5994, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.976, kappa: 0.9516, kb_relative_information_score: 0.951, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9772, predictive_accuracy: 0.9759, prior_entropy: 0.9911, recall: 0.9759, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3341, f_measure: 0.3418, kappa: -0.3311, kb_relative_information_score: -0.3414, mean_absolute_error: 0.6589, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3425, predictive_accuracy: 0.3411, prior_entropy: 0.9911, recall: 0.3411, relative_absolute_error: 1.3341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8117, root_relative_squared_error: 1.6335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9776, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.6406, kappa: 0.312, kb_relative_information_score: 0.3516, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7482, predictive_accuracy: 0.6815, prior_entropy: 0.9911, recall: 0.6815, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.1357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.5619, kappa: 0.1129, kb_relative_information_score: 0.1082, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5619, predictive_accuracy: 0.562, prior_entropy: 0.9911, recall: 0.562, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6619, root_relative_squared_error: 1.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 0.9852, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9911, recall: 0.9927, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 0.9288, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 0.9911, recall: 0.965, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8927, kappa: 0.782, kb_relative_information_score: 0.7834, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8966, predictive_accuracy: 0.8936, prior_entropy: 0.9911, recall: 0.8936, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.976, kappa: 0.9516, kb_relative_information_score: 0.951, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9772, predictive_accuracy: 0.9759, prior_entropy: 0.9911, recall: 0.9759, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 0.9599, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9911, recall: 0.9803, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8927, kappa: 0.782, kb_relative_information_score: 0.7834, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8966, predictive_accuracy: 0.8936, prior_entropy: 0.9911, recall: 0.8936, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8417, kappa: 0.6793, kb_relative_information_score: 0.678, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8417, predictive_accuracy: 0.8418, prior_entropy: 0.9911, recall: 0.8418, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8417, kappa: 0.6793, kb_relative_information_score: 0.678, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8417, predictive_accuracy: 0.8418, prior_entropy: 0.9911, recall: 0.8418, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.96, kappa: 0.919, kb_relative_information_score: 0.9184, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9602, predictive_accuracy: 0.9599, prior_entropy: 0.9911, recall: 0.9599, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8987, kappa: 0.7948, kb_relative_information_score: 0.7937, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8987, predictive_accuracy: 0.8987, prior_entropy: 0.9911, recall: 0.8987, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8141, kappa: 0.6234, kb_relative_information_score: 0.6216, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.814, predictive_accuracy: 0.8141, prior_entropy: 0.9911, recall: 0.8141, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8676,

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

OpenML bootcamp

From your own software

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

OpenML APIs