OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13324 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 484.8144, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.991, recall: 0.992, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.471, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 455.3764, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9457, kappa: 0.8897, kb_relative_information_score: 424.9992, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9482, predictive_accuracy: 0.946, prior_entropy: 0.991, recall: 0.946, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.7246, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.4652, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.405, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.5419, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.964, kappa: 0.9272, kb_relative_information_score: 223.2039, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 0.991, recall: 0.964, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, kb_relative_information_score: 17.911, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.7949, kappa: 0.5834, kb_relative_information_score: 251.4134, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7959, predictive_accuracy: 0.796, prior_entropy: 0.991, recall: 0.796, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9, kappa: 0.7975, kb_relative_information_score: 367.3484, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.991, recall: 0.9, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.1157, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.1076, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.019, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 453.2028, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.1749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 20.5204, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9081, kappa: 0.814, kb_relative_information_score: 355.3481, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9083, predictive_accuracy: 0.908, prior_entropy: 0.991, recall: 0.908, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6799, kappa: 0.3497, kb_relative_information_score: 98.8633, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6802, predictive_accuracy: 0.682, prior_entropy: 0.991, recall: 0.682, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.1631, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -5.7266, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.1981, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8702, kappa: 0.7375, kb_relative_information_score: 249.2517, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8707, predictive_accuracy: 0.87, prior_entropy: 0.991, recall: 0.87, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.4072, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.8744, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.6978, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, kb_relative_information_score: 28.4096, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0506, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.6803, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.4813, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.226, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9561, kappa: 0.9111, kb_relative_information_score: 376.5293, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9564, predictive_accuracy: 0.956, prior_entropy: 0.991, recall: 0.956, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 453.6536, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.511, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8803, kappa: 0.7585, kb_relative_information_score: 271.7618, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.882, predictive_accuracy: 0.88, prior_entropy: 0.991, recall: 0.88, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8975, kappa: 0.7918, kb_relative_information_score: 353.9062, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8991, predictive_accuracy: 0.898, prior_entropy: 0.991, recall: 0.898, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.2582, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.244, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9278, kappa: 0.8535, kb_relative_information_score: 405.8984, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9284, predictive_accuracy: 0.928, prior_entropy: 0.991, recall: 0.928, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.0617, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.908, kappa: 0.8138, kb_relative_information_score: 335.8792, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.991, recall: 0.908, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.9733, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.8404, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.6008, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 443.2236, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9844, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.8062, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.8902, kappa: 0.7781, kb_relative_information_score: 342.1427, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.991, recall: 0.89, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8842, kappa: 0.7649, kb_relative_information_score: 322.1144, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.894, predictive_accuracy: 0.886, prior_entropy: 0.991, recall: 0.886, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.5415, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 252.4627, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: 8.0858, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 177.9635, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.0209, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8894, kappa: 0.7753, kb_relative_information_score: 244.9964, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8914, predictive_accuracy: 0.89, prior_entropy: 0.991, recall: 0.89, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 405.2974, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -4.4863, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8934, kappa: 0.7834, kb_relative_information_score: 268.1385, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8954, predictive_accuracy: 0.894, prior_entropy: 0.991, recall: 0.894, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 8.1406, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9867, 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: 0.4935, kb_relative_information_score: 11.0704, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.9707, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -34.3341, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5487, root_relative_squared_error: 1.1044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.9925, mean_absolute_error: 0.5068, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.0272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.6648, kappa: 0.3195, kb_relative_information_score: 25.1634, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6645, predictive_accuracy: 0.666, prior_entropy: 0.991, recall: 0.666, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.4023, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.5185, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.4276, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.882, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.7489, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9112, kappa: 0.8196, kb_relative_information_score: 385.0878, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9156, predictive_accuracy: 0.912, prior_entropy: 0.991, recall: 0.912, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.6806, kappa: 0.3548, kb_relative_information_score: 72.1564, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6817, predictive_accuracy: 0.68, prior_entropy: 0.991, recall: 0.68, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 387.0138, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.649, kappa: 0.2926, kb_relative_information_score: 54.0768, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6647, predictive_accuracy: 0.662, prior_entropy: 0.991, recall: 0.662, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, kb_relative_information_score: 5.9989, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 4.6879, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9115, kappa: 0.8203, kb_relative_information_score: 323.8855, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9135, predictive_accuracy: 0.912, prior_entropy: 0.991, recall: 0.912, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.5391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -33.8401, mean_absolute_error: 0.5194, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.547, root_relative_squared_error: 1.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.934, kappa: 0.8661, kb_relative_information_score: 413.2164, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 0.991, recall: 0.934, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.4105, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 220.3368, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8954, kappa: 0.7874, kb_relative_information_score: 311.8463, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8977, predictive_accuracy: 0.896, prior_entropy: 0.991, recall: 0.896, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.1025, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9038, kappa: 0.8049, kb_relative_information_score: 359.4469, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9041, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: 10.5326, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.826, kappa: 0.6477, kb_relative_information_score: 295.6598, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8261, predictive_accuracy: 0.826, prior_entropy: 0.991, recall: 0.826, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 434.1386, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.2578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7539, kappa: 0.5015, kb_relative_information_score: 171.0088, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7539, predictive_accuracy: 0.754, prior_entropy: 0.991, recall: 0.754, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.9884, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.6402, mean_absolute_error: 0.5028, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 8.37, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.953, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.1348, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.7945, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.96, kappa: 0.9188, kb_relative_information_score: 419.1242, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.991, recall: 0.96, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3255,

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