OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20618 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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20618 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, kappa: 0.0078, kb_relative_information_score: 0.1381, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3817, prior_entropy: 1.7874, recall: 0.3817, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.556, root_relative_squared_error: 1.3412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9809, kappa: 0.9723, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9809, predictive_accuracy: 0.981, prior_entropy: 1.7874, recall: 0.981, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9697, kappa: 0.9564, kb_relative_information_score: 0.9464, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9719, predictive_accuracy: 0.9703, prior_entropy: 1.7874, recall: 0.9703, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9527, kappa: 0.9334, kb_relative_information_score: 0.917, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9578, predictive_accuracy: 0.9548, prior_entropy: 1.7874, recall: 0.9548, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8304, kappa: 0.7791, kb_relative_information_score: 0.744, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8884, predictive_accuracy: 0.8549, prior_entropy: 1.7874, recall: 0.8549, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9101, kappa: 0.8793, kb_relative_information_score: 0.8508, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9268, predictive_accuracy: 0.9191, prior_entropy: 1.7874, recall: 0.9191, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9441, kappa: 0.9226, kb_relative_information_score: 0.9019, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9518, predictive_accuracy: 0.9477, prior_entropy: 1.7874, recall: 0.9477, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, kappa: 0.8865, kb_relative_information_score: 0.8391, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.9239, prior_entropy: 1.7874, recall: 0.9239, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9534, kappa: 0.9389, kb_relative_information_score: 0.915, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9609, predictive_accuracy: 0.9584, prior_entropy: 1.7874, recall: 0.9584, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 0.9901, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7874, recall: 0.9941, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 0.9852, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 1.7874, recall: 0.9905, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9794, kappa: 0.9704, kb_relative_information_score: 0.9621, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9806, predictive_accuracy: 0.9798, prior_entropy: 1.7874, recall: 0.9798, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9465, kappa: 0.9235, kb_relative_information_score: 0.9148, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9472, predictive_accuracy: 0.9477, prior_entropy: 1.7874, recall: 0.9477, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.6304, kappa: 0.4488, kb_relative_information_score: 0.5298, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6469, predictive_accuracy: 0.6278, prior_entropy: 1.7874, recall: 0.6278, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4314, root_relative_squared_error: 1.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 0.9852, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 1.7874, recall: 0.9905, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9867, kappa: 0.9809, kb_relative_information_score: 0.9757, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9872, predictive_accuracy: 0.9869, prior_entropy: 1.7874, recall: 0.9869, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.1951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.988, kappa: 0.9827, kb_relative_information_score: 0.979, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9884, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9986, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, recall: 0.9988, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, kappa: 0.5435, kb_relative_information_score: 0.5312, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.7111, prior_entropy: 1.7874, recall: 0.7111, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.9169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, kappa: 0.5534, kb_relative_information_score: 0.5383, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.717, prior_entropy: 1.7874, recall: 0.717, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.9074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7874, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,

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