OpenML
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
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16132 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9278, kappa: 0.9213, kb_relative_information_score: 635.8324, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9287, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9061, kappa: 0.8972, kb_relative_information_score: 618.0079, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9124, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, kappa: 0.2999, kb_relative_information_score: 204.4592, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3909, prior_entropy: 3.8572, recall: 0.3909, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2532, root_relative_squared_error: 1.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.8545, kb_relative_information_score: 417.2827, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8682, prior_entropy: 3.8572, recall: 0.8682, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, kappa: 0.3004, kb_relative_information_score: 199.1606, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3924, prior_entropy: 3.8572, recall: 0.3924, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2529, root_relative_squared_error: 1.1542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9353, kappa: 0.9294, kb_relative_information_score: 639.666, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9367, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9273, kappa: 0.9213, kb_relative_information_score: 614.2192, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9326, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, kappa: 0.2206, kb_relative_information_score: 165.6522, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3221, prior_entropy: 3.8572, recall: 0.3221, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2671, root_relative_squared_error: 1.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, kappa: 0.3239, kb_relative_information_score: 213.2081, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4114, prior_entropy: 3.8572, recall: 0.4114, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2489, root_relative_squared_error: 1.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, kappa: 0.8357, kb_relative_information_score: 555.7588, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8507, prior_entropy: 3.8572, recall: 0.8507, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, kappa: 0.891, kb_relative_information_score: 583.7267, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.4391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.8871, kappa: 0.8888, kb_relative_information_score: 563.2951, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8903, predictive_accuracy: 0.899, prior_entropy: 3.8572, recall: 0.899, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.4716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, kappa: 0.388, kb_relative_information_score: 255.6783, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4656, prior_entropy: 3.8572, recall: 0.4656, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2372, root_relative_squared_error: 1.0825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, kappa: 0.8954, kb_relative_information_score: 602.855, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9364, kappa: 0.931, kb_relative_information_score: 640.9831, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9416, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, kappa: 0.8511, kb_relative_information_score: 547.3443, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8638, prior_entropy: 3.8572, recall: 0.8638, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9289, kappa: 0.9229, kb_relative_information_score: 632.9092, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9322, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.3381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9326, kappa: 0.9262, kb_relative_information_score: 640.6203, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9337, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.8955, kappa: 0.8891, kb_relative_information_score: 563.8082, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9086, predictive_accuracy: 0.899, prior_entropy: 3.8572, recall: 0.899, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, kappa: 0.8774, kb_relative_information_score: 600.646, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8887, prior_entropy: 3.8572, recall: 0.8887, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, kappa: 0.8905, kb_relative_information_score: 574.4227, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9046, kappa: 0.8972, kb_relative_information_score: 629.0313, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9072, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.079, root_relative_squared_error: 0.3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, kappa: 0.8234, kb_relative_information_score: 559.8919, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8404, prior_entropy: 3.8572, recall: 0.8404, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9143, kappa: 0.9084, kb_relative_information_score: 582.3579, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9244, predictive_accuracy: 0.9165, prior_entropy: 3.8572, recall: 0.9165, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, kappa: 0.8889, kb_relative_information_score: 551.3317, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.899, prior_entropy: 3.8572, recall: 0.899, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9226, kappa: 0.918, kb_relative_information_score: 630.67, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9367, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, kappa: 0.8716, kb_relative_information_score: 564.8895, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8829, prior_entropy: 3.8572, recall: 0.8829, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, kappa: 0.7952, kb_relative_information_score: 484.2142, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8141, prior_entropy: 3.8572, recall: 0.8141, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, kappa: 0.5978, kb_relative_information_score: 380.3247, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6442, prior_entropy: 3.8572, recall: 0.6442, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9331, kappa: 0.9277, kb_relative_information_score: 618.0164, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9381, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.3523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9368, kappa: 0.931, kb_relative_information_score: 640.4787, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9384, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9279, kappa: 0.9228, kb_relative_information_score: 597.6595, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.938, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9349, kappa: 0.9293, kb_relative_information_score: 628.9667, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9382, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, kappa: 0.8606, kb_relative_information_score: 535.9358, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8726, prior_entropy: 3.8572, recall: 0.8726, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, kappa: 0.2829, kb_relative_information_score: 195.8391, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3763, prior_entropy: 3.8572, recall: 0.3763, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2562, root_relative_squared_error: 1.1694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, kappa: 0.8386, kb_relative_information_score: 543.2856, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8521, prior_entropy: 3.8572, recall: 0.8521, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.5407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.8299, kb_relative_information_score: 450.6496, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8463, prior_entropy: 3.8572, recall: 0.8463, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9226, kappa: 0.918, kb_relative_information_score: 630.67, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9367, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9106, kappa: 0.9021, kb_relative_information_score: 604.6424, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9178, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, kappa: 0.8751, kb_relative_information_score: 551.258, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8858, prior_entropy: 3.8572, recall: 0.8858, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.5184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, kappa: 0.8319, kb_relative_information_score: 493.1394, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8477, prior_entropy: 3.8572, recall: 0.8477, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9209, kappa: 0.9149, kb_relative_information_score: 593.7955, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9301, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, kappa: 0.8272, kb_relative_information_score: 467.748, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8433, prior_entropy: 3.8572, recall: 0.8433, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.936, kappa: 0.9309, kb_relative_information_score: 639.957, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9419, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, kappa: 0.2492, kb_relative_information_score: 179.5268, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.347, prior_entropy: 3.8572, recall: 0.347, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2622, root_relative_squared_error: 1.1966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, kappa: 0.1953, kb_relative_information_score: 153.4343, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3001, prior_entropy: 3.8572, recall: 0.3001, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.2387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, kappa: 0.2966, kb_relative_information_score: 202.8408, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.388, prior_entropy: 3.8572, recall: 0.388, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2538, root_relative_squared_error: 1.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9311, kappa: 0.9245, kb_relative_information_score: 635.2402, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9328, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9226, kappa: 0.918, kb_relative_information_score: 630.67, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9367, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.931, kappa: 0.9261, kb_relative_information_score: 635.9886, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9428, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9322, kappa: 0.9277, kb_relative_information_score: 636.7978, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9423, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, kappa: 0.8873, kb_relative_information_score: 596.7056, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, kappa: 0.8781, kb_relative_information_score: 547.1965, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8887, prior_entropy: 3.8572, recall: 0.8887, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9395, kappa: 0.9342, kb_relative_information_score: 642.7489, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9405, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.3079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9368, kappa: 0.9309, kb_relative_information_score: 577.5909, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9472, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9354, kappa: 0.9294, kb_relative_information_score: 640.174, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.937, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, kappa: 0.8596, kb_relative_information_score: 515.4722, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8726, prior_entropy: 3.8572, recall: 0.8726, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9317, kappa: 0.9261, kb_relative_information_score: 563.6804, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9442, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.4507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, kappa: 0.8171, kb_relative_information_score: 451.3389, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8346, prior_entropy: 3.8572, recall: 0.8346, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, kappa: 0.4139, kb_relative_information_score: 272.2325, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4876, prior_entropy: 3.8572, recall: 0.4876, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2323, root_relative_squared_error: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7785, kappa: 0.7501, kb_relative_information_score: 505.1576, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8763, predictive_accuracy: 0.776, prior_entropy: 3.8572, recall: 0.776, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.7008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, kappa: 0.3096, kb_relative_information_score: 203.9428, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3997, prior_entropy: 3.8572, recall: 0.3997, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2514, root_relative_squared_error: 1.1473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, kappa: 0.4708, kb_relative_information_score: 307.2475, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5359, prior_entropy: 3.8572, recall: 0.5359, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.221, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, kappa: 0.4945, kb_relative_information_score: 321.2886, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5564, prior_entropy: 3.8572, recall: 0.5564, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, kappa: 0.4824, kb_relative_information_score: 251.4215, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5329, prior_entropy: 3.8572, recall: 0.5329, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.193, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9322, kappa: 0.9261, kb_relative_information_score: 582.5315, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9342, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9326, kappa: 0.9262, kb_relative_information_score: 582.9474, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9345, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, kb_relative_information_score: 3.7707, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4897, kb_relative_information_score: 3.616, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9348, kappa: 0.9293, kb_relative_information_score: 580.821, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9423, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8823, kappa: 0.8701, kb_relative_information_score: 499.8307, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8976, predictive_accuracy: 0.8814, prior_entropy: 3.8572, recall: 0.8814, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9313, kappa: 0.9245, kb_relative_information_score: 580.9605, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9322, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, kappa: 0.1148, kb_relative_information_score: 54.2542, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2313, prior_entropy: 3.8572, recall: 0.2313, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9392, kappa: 0.9341, kb_relative_information_score: 584.9252, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9448, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9054, kappa: 0.8958, kb_relative_information_score: 558.1442, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9111, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9356, kappa: 0.9294, kb_relative_information_score: 583.5078, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9372, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.089, root_relative_squared_error: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9336, kappa: 0.9277, kb_relative_information_score: 581.549, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.936, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9291, kappa: 0.9229, kb_relative_information_score: 575.3815, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9356, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.091, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.927, kappa: 0.9197, kb_relative_information_score: 582.3384, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9276, predictive_accuracy: 0.9268, prior_entropy: 3.8572, recall: 0.9268, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, kappa: 0.4691, kb_relative_information_score: 249.8778, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5227, prior_entropy: 3.8572, recall: 0.5227, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.932, kappa: 0.9261, kb_relative_information_score: 584.9761, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9333, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, kappa: 0.1253, kb_relative_information_score: 58.7563, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2401, prior_entropy: 3.8572, recall: 0.2401, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.211, root_relative_squared_error: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9334, kappa: 0.9277, kb_relative_information_score: 580.4565, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9406, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.089, root_relative_squared_error: 0.4064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8673, kappa: 0.8615, kb_relative_information_score: 503.1061, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8834, predictive_accuracy: 0.8741, prior_entropy: 3.8572, recall: 0.8741, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.5701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9339, kappa: 0.9277, kb_relative_information_score: 581.6651, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9309, kappa: 0.9245, kb_relative_information_score: 582.7852, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9323, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kappa: 0.0012, kb_relative_information_score: 6.4579, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9379, kappa: 0.9325, kb_relative_information_score: 586.8837, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.944, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3935,

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