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: 0.7672, f_measure: 0.7777, kappa: 0.5527, kb_relative_information_score: 0.5652, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8081, predictive_accuracy: 0.7864, prior_entropy: 0.9911, recall: 0.7864, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.519, kappa: 0.0263, kb_relative_information_score: 0.0207, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5191, predictive_accuracy: 0.519, prior_entropy: 0.9911, recall: 0.519, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6936, root_relative_squared_error: 1.3957,
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: 0.7494, f_measure: 0.7523, kappa: 0.4985, kb_relative_information_score: 0.4955, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7524, predictive_accuracy: 0.7522, prior_entropy: 0.9911, recall: 0.7522, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.7399, kappa: 0.4736, kb_relative_information_score: 0.4703, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.74, predictive_accuracy: 0.7398, prior_entropy: 0.9911, recall: 0.7398, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5101, root_relative_squared_error: 1.0265,
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: 0.7494, f_measure: 0.7523, kappa: 0.4985, kb_relative_information_score: 0.4955, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7524, predictive_accuracy: 0.7522, prior_entropy: 0.9911, recall: 0.7522, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0018,
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: 0.5748, f_measure: 0.5801, kappa: 0.1496, kb_relative_information_score: 0.1453, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.58, predictive_accuracy: 0.5802, prior_entropy: 0.9911, recall: 0.5802, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.3039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.7304, kappa: 0.4541, kb_relative_information_score: 0.451, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7304, predictive_accuracy: 0.7303, prior_entropy: 0.9911, recall: 0.7303, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.7185, kappa: 0.4289, kb_relative_information_score: 0.4287, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7184, predictive_accuracy: 0.7194, prior_entropy: 0.9911, recall: 0.7194, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7573, kappa: 0.5088, kb_relative_information_score: 0.5059, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7574, predictive_accuracy: 0.7573, prior_entropy: 0.9911, recall: 0.7573, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7456, kappa: 0.4847, kb_relative_information_score: 0.4821, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7455, predictive_accuracy: 0.7456, prior_entropy: 0.9911, recall: 0.7456, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7573, kappa: 0.5088, kb_relative_information_score: 0.5059, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7574, predictive_accuracy: 0.7573, prior_entropy: 0.9911, recall: 0.7573, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 0.9718, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9864, predictive_accuracy: 0.9862, prior_entropy: 0.9911, recall: 0.9862, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.6238, kappa: 0.2398, kb_relative_information_score: 0.2329, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6247, predictive_accuracy: 0.6232, prior_entropy: 0.9911, recall: 0.6232, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 0.9614, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9814, predictive_accuracy: 0.981, prior_entropy: 0.9911, recall: 0.981, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.691, kappa: 0.3744, kb_relative_information_score: 0.3709, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6911, predictive_accuracy: 0.691, prior_entropy: 0.9911, recall: 0.691, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.691, kappa: 0.3744, kb_relative_information_score: 0.3709, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6911, predictive_accuracy: 0.691, prior_entropy: 0.9911, recall: 0.691, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7799, kappa: 0.5543, kb_relative_information_score: 0.5519, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7799, predictive_accuracy: 0.7799, prior_entropy: 0.9911, recall: 0.7799, relative_absolute_error: 0.4457, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9441,
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: 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: 0.737, f_measure: 0.7399, kappa: 0.4736, kb_relative_information_score: 0.4703, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.74, predictive_accuracy: 0.7398, prior_entropy: 0.9911, recall: 0.7398, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5101, root_relative_squared_error: 1.0265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.5801, kappa: 0.1496, kb_relative_information_score: 0.1453, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.58, predictive_accuracy: 0.5802, prior_entropy: 0.9911, recall: 0.5802, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.3039,
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: 0.6155, f_measure: 0.6225, kappa: 0.2334, kb_relative_information_score: 0.2373, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6225, predictive_accuracy: 0.6254, prior_entropy: 0.9911, recall: 0.6254, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.2317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9825, prior_entropy: 0.9911, recall: 0.9825, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 0.9777, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9893, predictive_accuracy: 0.9891, prior_entropy: 0.9911, recall: 0.9891, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9876, kappa: 0.975, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9878, 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: 0.9959, 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: 0.7498, f_measure: 0.7523, kappa: 0.4989, kb_relative_information_score: 0.4955, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7525, predictive_accuracy: 0.7522, prior_entropy: 0.9911, recall: 0.7522, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 0.9614, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9814, predictive_accuracy: 0.981, prior_entropy: 0.9911, recall: 0.981, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.277,
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: 0.6873, f_measure: 0.691, kappa: 0.3744, kb_relative_information_score: 0.3709, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6911, predictive_accuracy: 0.691, prior_entropy: 0.9911, recall: 0.691, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1187,
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: 0.5131, f_measure: 0.519, kappa: 0.0263, kb_relative_information_score: 0.0207, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5191, predictive_accuracy: 0.519, prior_entropy: 0.9911, recall: 0.519, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6936, root_relative_squared_error: 1.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9876, kappa: 0.975, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9878, 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: 0.5, 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: 0.5748, f_measure: 0.5801, kappa: 0.1496, kb_relative_information_score: 0.1453, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.58, predictive_accuracy: 0.5802, prior_entropy: 0.9911, recall: 0.5802, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.3039,
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: 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: 0.7672, f_measure: 0.7777, kappa: 0.5527, kb_relative_information_score: 0.5652, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8081, predictive_accuracy: 0.7864, prior_entropy: 0.9911, recall: 0.7864, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.93,
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: 0.7672, f_measure: 0.7777, kappa: 0.5527, kb_relative_information_score: 0.5652, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8081, predictive_accuracy: 0.7864, prior_entropy: 0.9911, recall: 0.7864, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.6238, kappa: 0.2398, kb_relative_information_score: 0.2329, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6247, predictive_accuracy: 0.6232, prior_entropy: 0.9911, recall: 0.6232, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.691, kappa: 0.3744, kb_relative_information_score: 0.3709, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6911, predictive_accuracy: 0.691, prior_entropy: 0.9911, recall: 0.691, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7777, kappa: 0.5527, kb_relative_information_score: 0.5652, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8081, predictive_accuracy: 0.7864, prior_entropy: 0.9911, recall: 0.7864, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.5801, kappa: 0.1496, kb_relative_information_score: 0.1453, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.58, predictive_accuracy: 0.5802, prior_entropy: 0.9911, recall: 0.5802, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.3039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7777, kappa: 0.5527, kb_relative_information_score: 0.5652, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8081, predictive_accuracy: 0.7864, prior_entropy: 0.9911, recall: 0.7864, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.93,
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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: 0.9821, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 0.9614, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9814, predictive_accuracy: 0.981, prior_entropy: 0.9911, recall: 0.981, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, 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: 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: 0.9836, f_measure: 0.9818, kappa: 0.9633, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9818, prior_entropy: 0.9911, recall: 0.9818, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, 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: 0.9993, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.6174, kappa: 0.2256, kb_relative_information_score: 0.221, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6175, predictive_accuracy: 0.6173, prior_entropy: 0.9911, recall: 0.6173, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6186, root_relative_squared_error: 1.2448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.6174, kappa: 0.2256, kb_relative_information_score: 0.221, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6175, predictive_accuracy: 0.6173, prior_entropy: 0.9911, recall: 0.6173, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6186, root_relative_squared_error: 1.2448,
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: 0.2672, f_measure: 0.2667, kappa: -0.4798, kb_relative_information_score: -0.4438, mean_absolute_error: 0.7092, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.2498, predictive_accuracy: 0.2908, prior_entropy: 0.9911, recall: 0.2908, relative_absolute_error: 1.436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8421, root_relative_squared_error: 1.6947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8686, kappa: 0.7337, kb_relative_information_score: 0.7329, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8687, predictive_accuracy: 0.8688, prior_entropy: 0.9911, recall: 0.8688, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2672, f_measure: 0.2667, kappa: -0.4798, kb_relative_information_score: -0.4438, mean_absolute_error: 0.7092, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.2498, predictive_accuracy: 0.2908, prior_entropy: 0.9911, recall: 0.2908, relative_absolute_error: 1.436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8421, root_relative_squared_error: 1.6947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9789, kappa: 0.9574, kb_relative_information_score: 0.957, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9795, predictive_accuracy: 0.9789, prior_entropy: 0.9911, recall: 0.9789, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2926,
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: 0.5231, f_measure: 0.5291, kappa: 0.0463, kb_relative_information_score: 0.0414, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.529, predictive_accuracy: 0.5292, prior_entropy: 0.9911, recall: 0.5292, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6862, root_relative_squared_error: 1.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 0.9555, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9792, predictive_accuracy: 0.9781, prior_entropy: 0.9911, recall: 0.9781, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.2976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 0.9555, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9792, predictive_accuracy: 0.9781, prior_entropy: 0.9911, recall: 0.9781, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.2976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9614, kappa: 0.9219, kb_relative_information_score: 0.9214, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9911, recall: 0.9614, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.3955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8686, kappa: 0.7337, kb_relative_information_score: 0.7329, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8687, predictive_accuracy: 0.8688, prior_entropy: 0.9911, recall: 0.8688, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.6174, kappa: 0.2256, kb_relative_information_score: 0.221, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6175, predictive_accuracy: 0.6173, prior_entropy: 0.9911, recall: 0.6173, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6186, root_relative_squared_error: 1.2448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8686, kappa: 0.7337, kb_relative_information_score: 0.7329, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8687, predictive_accuracy: 0.8688, prior_entropy: 0.9911, recall: 0.8688, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7289,
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: 0.6128, f_measure: 0.6174, kappa: 0.2256, kb_relative_information_score: 0.221, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6175, predictive_accuracy: 0.6173, prior_entropy: 0.9911, recall: 0.6173, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6186, root_relative_squared_error: 1.2448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7404, kappa: 0.4741, kb_relative_information_score: 0.4718, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7403, predictive_accuracy: 0.7405, prior_entropy: 0.9911, recall: 0.7405, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9789, kappa: 0.9574, kb_relative_information_score: 0.957, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9795, predictive_accuracy: 0.9789, prior_entropy: 0.9911, recall: 0.9789, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.869, kappa: 0.7355, kb_relative_information_score: 0.7329, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8699, predictive_accuracy: 0.8688, prior_entropy: 0.9911, recall: 0.8688, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, 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: 0.9777, 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: 0.9616, f_measure: 0.9614, kappa: 0.9219, kb_relative_information_score: 0.9214, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9911, recall: 0.9614, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.3955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9789, kappa: 0.9574, kb_relative_information_score: 0.957, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9795, predictive_accuracy: 0.9789, prior_entropy: 0.9911, recall: 0.9789, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9789, kappa: 0.9574, kb_relative_information_score: 0.957, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9795, predictive_accuracy: 0.9789, prior_entropy: 0.9911, recall: 0.9789, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2926,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.5291, kappa: 0.0463, kb_relative_information_score: 0.0414, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.529, predictive_accuracy: 0.5292, prior_entropy: 0.9911, recall: 0.5292, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6862, root_relative_squared_error: 1.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.7201, kappa: 0.4331, kb_relative_information_score: 0.4302, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9911, recall: 0.7201, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.529, root_relative_squared_error: 1.0646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.828, kappa: 0.6516, kb_relative_information_score: 0.6498, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9911, recall: 0.828, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8346,
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: 0.9772, f_measure: 0.9753, kappa: 0.9501, kb_relative_information_score: 0.9495, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9761, predictive_accuracy: 0.9752, prior_entropy: 0.9911, recall: 0.9752, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.9614, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.981, prior_entropy: 0.9911, recall: 0.981, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.277,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.5692, kappa: 0.1276, kb_relative_information_score: 0.1231, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5692, predictive_accuracy: 0.5692, prior_entropy: 0.9911, recall: 0.5692, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6563, root_relative_squared_error: 1.3208,
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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: 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: 0.5545, f_measure: 0.5598, kappa: 0.1089, kb_relative_information_score: 0.1038, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5599, predictive_accuracy: 0.5598, prior_entropy: 0.9911, recall: 0.5598, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6635, root_relative_squared_error: 1.3352,
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: 0.9426, f_measure: 0.9485, kappa: 0.8955, kb_relative_information_score: 0.8961, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9533, predictive_accuracy: 0.949, prior_entropy: 0.9911, recall: 0.949, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7271, kappa: 0.4485, kb_relative_information_score: 0.4436, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7278, predictive_accuracy: 0.7267, prior_entropy: 0.9911, recall: 0.7267, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.0521,

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