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: 0.6038, f_measure: 0.4606, kappa: 0.1831, kb_relative_information_score: 0.2316, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5046, predictive_accuracy: 0.4352, prior_entropy: 1.7874, recall: 0.4352, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.2819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9442, kappa: 0.9183, kb_relative_information_score: 0.9232, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9451, predictive_accuracy: 0.9441, prior_entropy: 1.7874, recall: 0.9441, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.4032,
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: 0.9328, f_measure: 0.8917, kappa: 0.8497, kb_relative_information_score: 0.8293, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9231, predictive_accuracy: 0.8966, prior_entropy: 1.7874, recall: 0.8966, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.5486,
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: 0.5988, f_measure: 0.4561, kappa: 0.175, kb_relative_information_score: 0.2272, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5041, predictive_accuracy: 0.4293, prior_entropy: 1.7874, recall: 0.4293, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5342, root_relative_squared_error: 1.2886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, f_measure: 0.4561, kappa: 0.175, kb_relative_information_score: 0.2272, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5041, predictive_accuracy: 0.4293, prior_entropy: 1.7874, recall: 0.4293, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5342, root_relative_squared_error: 1.2886,
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: 0.9942, 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: 0.9942, 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: 0.5988, f_measure: 0.4561, kappa: 0.175, kb_relative_information_score: 0.2272, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5041, predictive_accuracy: 0.4293, prior_entropy: 1.7874, recall: 0.4293, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5342, root_relative_squared_error: 1.2886,
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: 0.6231, kappa: 0.2508, kb_relative_information_score: 0.3155, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.5303, prior_entropy: 1.7874, recall: 0.5303, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4846, root_relative_squared_error: 1.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9128, kappa: 0.8927, kb_relative_information_score: 0.8569, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9326, predictive_accuracy: 0.9275, prior_entropy: 1.7874, recall: 0.9275, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9968, 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: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9968, 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: 0.9955, f_measure: 0.994, kappa: 0.9913, kb_relative_information_score: 0.9917, 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: 0.9901, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 0.9829, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9869, 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: 0.9953, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 0.993, 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: 0.9953, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 0.993, 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: 0.5, 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: 0.9965, 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: 0.99, f_measure: 0.9869, kappa: 0.9809, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9871, 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: 0.5, 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: 0.5968, f_measure: 0.4518, kappa: 0.173, kb_relative_information_score: 0.2138, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5196, predictive_accuracy: 0.4352, prior_entropy: 1.7874, recall: 0.4352, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.2819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9869, kappa: 0.9809, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9871, 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: 0.9901, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 0.9829, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9869, 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: 0.5, 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: 0.5968, f_measure: 0.4518, kappa: 0.173, kb_relative_information_score: 0.2138, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5196, predictive_accuracy: 0.4352, prior_entropy: 1.7874, recall: 0.4352, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.2819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 0.9914, 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: 0.9953, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 0.9914, 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: 0.9772, f_measure: 0.9703, kappa: 0.9565, kb_relative_information_score: 0.9531, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9718, 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: 0.9772, f_measure: 0.9703, kappa: 0.9565, kb_relative_information_score: 0.9531, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9718, 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: 0.5, 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,
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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: 0.5884, kappa: 0.1634, kb_relative_information_score: 0.2319, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4602, prior_entropy: 1.7874, recall: 0.4602, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.2532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, kappa: 0.1634, kb_relative_information_score: 0.2319, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4602, prior_entropy: 1.7874, recall: 0.4602, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.2532,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs