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: 0.9972, 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: 0.9972, 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: 0.9972, 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: 0.9972, 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: 0.9972, 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: 0.9972, 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: 0.9972, 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: 0.8313, kappa: 0.6747, kb_relative_information_score: 0.6494, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.7895, prior_entropy: 1.7874, recall: 0.7895, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7825,
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: 0.9763, f_measure: 0.9625, kappa: 0.9479, kb_relative_information_score: 0.9324, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9675, predictive_accuracy: 0.9643, prior_entropy: 1.7874, recall: 0.9643, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, kappa: 0.0703, kb_relative_information_score: 0.1835, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4197, prior_entropy: 1.7874, recall: 0.4197, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5386, root_relative_squared_error: 1.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 0.9887, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7874, recall: 0.9929, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8772, kappa: 0.8461, kb_relative_information_score: 0.808, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9096, predictive_accuracy: 0.8977, prior_entropy: 1.7874, recall: 0.8977, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.5454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7775, kappa: 0.6693, kb_relative_information_score: 0.7113, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7949, predictive_accuracy: 0.7765, prior_entropy: 1.7874, recall: 0.7765, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9638, kappa: 0.9496, kb_relative_information_score: 0.9351, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9682, predictive_accuracy: 0.9655, prior_entropy: 1.7874, recall: 0.9655, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.3167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.935, kappa: 0.9135, kb_relative_information_score: 0.8863, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9467, predictive_accuracy: 0.9417, prior_entropy: 1.7874, recall: 0.9417, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9773, kappa: 0.9671, kb_relative_information_score: 0.9666, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9777, predictive_accuracy: 0.9774, prior_entropy: 1.7874, recall: 0.9774, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 0.9904, 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: 0.5, 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,
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: 0.9954, 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: 0.9972, 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: 0.9943, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 0.9883, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 1.7874, recall: 0.9929, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9572, kappa: 0.9377, kb_relative_information_score: 0.947, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9576, predictive_accuracy: 0.9572, prior_entropy: 1.7874, recall: 0.9572, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3529,
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: 0.9941, kappa: 0.9913, kb_relative_information_score: 0.9926, 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: 0.9972, 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: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, 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: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9955, 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: 0.9878, f_measure: 0.983, kappa: 0.9757, kb_relative_information_score: 0.9686, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9836, predictive_accuracy: 0.9834, prior_entropy: 1.7874, recall: 0.9834, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.2201,
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: 0.9899, f_measure: 0.9869, kappa: 0.9809, kb_relative_information_score: 0.9772, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9873, 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: 0.9723, f_measure: 0.9634, kappa: 0.9476, kb_relative_information_score: 0.9358, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9665, predictive_accuracy: 0.9643, prior_entropy: 1.7874, recall: 0.9643, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.908, kappa: 0.863, kb_relative_information_score: 0.8713, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9242, predictive_accuracy: 0.9073, prior_entropy: 1.7874, recall: 0.9073, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5194,
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: 0.5, 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: 0.5, 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,

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