OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32444 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9705, kappa: 0.9276, kb_relative_information_score: 0.8904, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9705, kappa: 0.9276, kb_relative_information_score: 0.8904, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.7925, kappa: 0.5278, kb_relative_information_score: 0.4144, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.822, predictive_accuracy: 0.7839, prior_entropy: 0.863, recall: 0.7839, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.7925, kappa: 0.5278, kb_relative_information_score: 0.4144, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.822, predictive_accuracy: 0.7839, prior_entropy: 0.863, recall: 0.7839, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9625, kappa: 0.9081, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9625, kappa: 0.9081, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.8934, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.8934, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.9207, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.9207, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9381, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9381, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9743, kappa: 0.9369, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9742, predictive_accuracy: 0.9743, prior_entropy: 0.863, recall: 0.9743, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9743, kappa: 0.9369, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9742, predictive_accuracy: 0.9743, prior_entropy: 0.863, recall: 0.9743, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9692, kappa: 0.9244, kb_relative_information_score: 0.9062, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9692, kappa: 0.9244, kb_relative_information_score: 0.9062, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9702, kappa: 0.927, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.863, recall: 0.9702, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9702, kappa: 0.927, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.863, recall: 0.9702, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7371, kappa: 0.3788, kb_relative_information_score: 0.2817, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7497, predictive_accuracy: 0.73, prior_entropy: 0.863, recall: 0.73, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7371, kappa: 0.3788, kb_relative_information_score: 0.2817, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7497, predictive_accuracy: 0.73, prior_entropy: 0.863, recall: 0.73, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9718, kappa: 0.9308, kb_relative_information_score: 0.8993, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.863, recall: 0.9718, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9718, kappa: 0.9308, kb_relative_information_score: 0.8993, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.863, recall: 0.9718, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9594, kappa: 0.9006, kb_relative_information_score: 0.86, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9594, kappa: 0.9006, kb_relative_information_score: 0.86, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9739, kappa: 0.936, kb_relative_information_score: 0.9182, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.863, recall: 0.9739, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.142, root_relative_squared_error: 0.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.971, kappa: 0.9288, kb_relative_information_score: 0.918, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.863, recall: 0.971, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9739, kappa: 0.936, kb_relative_information_score: 0.9182, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.863, recall: 0.9739, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.142, root_relative_squared_error: 0.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9296, kappa: 0.8254, kb_relative_information_score: 0.6603, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9296, kappa: 0.8254, kb_relative_information_score: 0.6603, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9734, kappa: 0.9349, kb_relative_information_score: 0.9215, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9734, predictive_accuracy: 0.9735, prior_entropy: 0.863, recall: 0.9735, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 0.8812, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9478, kappa: 0.8713, kb_relative_information_score: 0.713, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9734, kappa: 0.9349, kb_relative_information_score: 0.9215, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9734, predictive_accuracy: 0.9735, prior_entropy: 0.863, recall: 0.9735, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9755, kappa: 0.9398, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9632, kappa: 0.9099, kb_relative_information_score: 0.8561, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.3709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6076, kappa: 0.1445, kb_relative_information_score: -0.1042, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6594, predictive_accuracy: 0.5881, prior_entropy: 0.863, recall: 0.5881, relative_absolute_error: 1.022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6398, root_relative_squared_error: 1.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9755, kappa: 0.9398, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9704, kappa: 0.9273, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9704, prior_entropy: 0.863, recall: 0.9704, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9704, kappa: 0.9273, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9704, prior_entropy: 0.863, recall: 0.9704, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9759, kappa: 0.9409, kb_relative_information_score: 0.9323, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.863, recall: 0.9759, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9759, kappa: 0.9409, kb_relative_information_score: 0.9323, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.863, recall: 0.9759, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9711, kappa: 0.9292, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9712, prior_entropy: 0.863, recall: 0.9712, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9711, kappa: 0.9292, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9712, prior_entropy: 0.863, recall: 0.9712, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 0.8609, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 0.8609, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 0.8773, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 0.8773, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9725, kappa: 0.9325, kb_relative_information_score: 0.9248, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.863, recall: 0.9725, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9725, kappa: 0.9325, kb_relative_information_score: 0.9248, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.863, recall: 0.9725, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9689, kappa: 0.9239, kb_relative_information_score: 0.8841, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9689, kappa: 0.9239, kb_relative_information_score: 0.8841, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9696, kappa: 0.9256, kb_relative_information_score: 0.8851, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9696, kappa: 0.9256, kb_relative_information_score: 0.8851, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9465, kappa: 0.869, kb_relative_information_score: 0.8083, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9465, kappa: 0.869, kb_relative_information_score: 0.8083, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9412, kappa: 0.8551, kb_relative_information_score: 0.7388, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9412, kappa: 0.8551, kb_relative_information_score: 0.7388, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9714, kappa: 0.9299, kb_relative_information_score: 0.8966, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.952, kappa: 0.8822, kb_relative_information_score: 0.808, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9714, kappa: 0.9299, kb_relative_information_score: 0.8966, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9708, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9708, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9685, kappa: 0.9229, kb_relative_information_score: 0.8832, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9685, kappa: 0.9229, kb_relative_information_score: 0.8832, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9757, kappa: 0.9403, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9756, predictive_accuracy: 0.9757, prior_entropy: 0.863, recall: 0.9757, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9547, kappa: 0.8887, kb_relative_information_score: 0.8146, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9757, kappa: 0.9403, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9756, predictive_accuracy: 0.9757, prior_entropy: 0.863, recall: 0.9757, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 0.863, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 0.863, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9755, kappa: 0.9399, kb_relative_information_score: 0.9303, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9755, kappa: 0.9399, kb_relative_information_score: 0.9303, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9732, kappa: 0.9343, kb_relative_information_score: 0.9074, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9732, kappa: 0.9343, kb_relative_information_score: 0.9074, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9758, kappa: 0.9406, kb_relative_information_score: 0.9327, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 0.863, recall: 0.9758, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9758, kappa: 0.9406, kb_relative_information_score: 0.9327, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 0.863, recall: 0.9758, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 0.8497, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 0.8497, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9697, kappa: 0.9256, kb_relative_information_score: 0.8876, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9697, kappa: 0.9256, kb_relative_information_score: 0.8876, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9715, kappa: 0.9301, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.863, recall: 0.9715, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9715, kappa: 0.9301, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.863, recall: 0.9715, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.8942, kb_relative_information_score: 0.7444, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.8942, kb_relative_information_score: 0.7444, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9746, kappa: 0.9378, kb_relative_information_score: 0.9176, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9746, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9746, kappa: 0.9378, kb_relative_information_score: 0.9176, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9746, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9409, kappa: 0.8543, kb_relative_information_score: 0.7556, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9409, kappa: 0.8543, kb_relative_information_score: 0.7556, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 0.8816, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 0.8816, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8843, kappa: 0.7277, kb_relative_information_score: 0.6717, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8963, predictive_accuracy: 0.8809, prior_entropy: 0.863, recall: 0.8809, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8843, kappa: 0.7277, kb_relative_information_score: 0.6717, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8963, predictive_accuracy: 0.8809, prior_entropy: 0.863, recall: 0.8809, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.9192, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.9192, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5611, kappa: -0, kb_relative_information_score: -0.2146, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5429, prior_entropy: 0.863, recall: 0.5429, relative_absolute_error: 1.1202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6761, root_relative_squared_error: 1.4968,

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

OpenML APIs