OpenML
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
0 likes downloaded by 3 people , 9 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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107074 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.9353, kappa: 0.8534, kb_relative_information_score: 0.8455, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4412, weighted_recall: 0.9353, number_of_instances: 15545, precision: 0.9353, predictive_accuracy: 0.9353, prior_entropy: 0.9135, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5416, unweighted_recall: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.936, kappa: 0.855, kb_relative_information_score: 0.8474, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4412, weighted_recall: 0.9361, number_of_instances: 15545, precision: 0.936, predictive_accuracy: 0.9361, prior_entropy: 0.9135, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5384, unweighted_recall: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.935, kappa: 0.8527, kb_relative_information_score: 0.8448, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4412, weighted_recall: 0.935, number_of_instances: 15545, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.9135, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5429, unweighted_recall: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7664, kappa: 0.4563, kb_relative_information_score: 0.514, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8347, predictive_accuracy: 0.7964, prior_entropy: 0.9135, recall: 0.7964, relative_absolute_error: 0.4614, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7613, kappa: 0.4447, kb_relative_information_score: 0.5053, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8322, predictive_accuracy: 0.7927, prior_entropy: 0.9135, recall: 0.7927, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.7518, kappa: 0.4235, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8285, predictive_accuracy: 0.7862, prior_entropy: 0.9135, recall: 0.7862, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5985, kappa: 0.1079, kb_relative_information_score: 0.2805, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.792, predictive_accuracy: 0.6986, prior_entropy: 0.9135, recall: 0.6986, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.549, root_relative_squared_error: 1.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.7518, kappa: 0.4235, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8285, predictive_accuracy: 0.7862, prior_entropy: 0.9135, recall: 0.7862, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5678, kappa: 0.0507, kb_relative_information_score: 0.2456, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7835, predictive_accuracy: 0.6839, prior_entropy: 0.9135, recall: 0.6839, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5622, root_relative_squared_error: 1.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.595, kappa: 0.101, kb_relative_information_score: 0.2759, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.787, predictive_accuracy: 0.6966, prior_entropy: 0.9135, recall: 0.6966, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.6201, kappa: 0.1491, kb_relative_information_score: 0.306, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.795, predictive_accuracy: 0.7092, prior_entropy: 0.9135, recall: 0.7092, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5678, kappa: 0.0507, kb_relative_information_score: 0.2456, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7835, predictive_accuracy: 0.6839, prior_entropy: 0.9135, recall: 0.6839, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5622, root_relative_squared_error: 1.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5654, kappa: 0.0465, kb_relative_information_score: 0.2432, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7846, predictive_accuracy: 0.6829, prior_entropy: 0.9135, recall: 0.6829, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5631, root_relative_squared_error: 1.1988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.7518, kappa: 0.4235, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8285, predictive_accuracy: 0.7862, prior_entropy: 0.9135, recall: 0.7862, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5674, f_measure: 0.6322, kappa: 0.1729, kb_relative_information_score: 0.321, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7979, predictive_accuracy: 0.7155, prior_entropy: 0.9135, recall: 0.7155, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.1355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5678, kappa: 0.0507, kb_relative_information_score: 0.2456, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7835, predictive_accuracy: 0.6839, prior_entropy: 0.9135, recall: 0.6839, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5622, root_relative_squared_error: 1.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7664, kappa: 0.4563, kb_relative_information_score: 0.514, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8347, predictive_accuracy: 0.7964, prior_entropy: 0.9135, recall: 0.7964, relative_absolute_error: 0.4614, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5985, kappa: 0.1079, kb_relative_information_score: 0.2805, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.792, predictive_accuracy: 0.6986, prior_entropy: 0.9135, recall: 0.6986, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.549, root_relative_squared_error: 1.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5678, kappa: 0.0507, kb_relative_information_score: 0.2456, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7835, predictive_accuracy: 0.6839, prior_entropy: 0.9135, recall: 0.6839, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5622, root_relative_squared_error: 1.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5678, kappa: 0.0507, kb_relative_information_score: 0.2456, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7835, predictive_accuracy: 0.6839, prior_entropy: 0.9135, recall: 0.6839, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5622, root_relative_squared_error: 1.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.7518, kappa: 0.4235, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8285, predictive_accuracy: 0.7862, prior_entropy: 0.9135, recall: 0.7862, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.5734, kappa: 0.0611, kb_relative_information_score: 0.2518, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7836, predictive_accuracy: 0.6865, prior_entropy: 0.9135, recall: 0.6865, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.8113, kappa: 0.559, kb_relative_information_score: 0.5927, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8549, predictive_accuracy: 0.8293, prior_entropy: 0.9135, recall: 0.8293, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.8109, kappa: 0.5581, kb_relative_information_score: 0.5919, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8546, predictive_accuracy: 0.829, prior_entropy: 0.9135, recall: 0.829, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.8152, kappa: 0.5682, kb_relative_information_score: 0.5997, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8563, predictive_accuracy: 0.8323, prior_entropy: 0.9135, recall: 0.8323, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.7042, kappa: 0.3199, kb_relative_information_score: 0.4173, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.814, predictive_accuracy: 0.7559, prior_entropy: 0.9135, recall: 0.7559, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0519,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5781, kappa: 0.0697, kb_relative_information_score: 0.2572, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7873, predictive_accuracy: 0.6888, prior_entropy: 0.9135, recall: 0.6888, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,

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