OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20597 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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20597 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: 0.9481, kappa: 0.8906, kb_relative_information_score: 0.8429, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.9263, prior_entropy: 1.7874, recall: 0.9263, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4631,
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: 0.9972, 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: 0.9488, f_measure: 0.9295, kappa: 0.9029, kb_relative_information_score: 0.88, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9399, predictive_accuracy: 0.9346, prior_entropy: 1.7874, recall: 0.9346, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4362,
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: 0.884, 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: 0.93, f_measure: 0.9072, kappa: 0.8644, kb_relative_information_score: 0.8756, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9079, 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: 0.8188, kappa: 0.6495, kb_relative_information_score: 0.6275, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.7741, prior_entropy: 1.7874, recall: 0.7741, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8633, kappa: 0.8239, kb_relative_information_score: 0.7878, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9017, predictive_accuracy: 0.8835, prior_entropy: 1.7874, recall: 0.8835, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.5822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8737, kappa: 0.8119, kb_relative_information_score: 0.8287, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8943, predictive_accuracy: 0.8728, prior_entropy: 1.7874, recall: 0.8728, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.6084,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, 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: 0.9883, 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: 0.991, 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: 0.9883, 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: 0.991, 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: 0.9883, 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: 0.991, 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: 0.9883, 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: 0.991, 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: 0.9883, 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: 0.9973, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9945, 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: 0.9747, f_measure: 0.9668, kappa: 0.9515, kb_relative_information_score: 0.9582, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 1.7874, recall: 0.9667, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.129, root_relative_squared_error: 0.3112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9295, kappa: 0.9029, kb_relative_information_score: 0.88, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9399, predictive_accuracy: 0.9346, prior_entropy: 1.7874, recall: 0.9346, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4362,
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: 0.884, 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: 0.9899, 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: 0.93, f_measure: 0.9072, kappa: 0.8644, kb_relative_information_score: 0.8756, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9079, 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: 0.8188, kappa: 0.6495, kb_relative_information_score: 0.6275, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.7741, prior_entropy: 1.7874, recall: 0.7741, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8633, kappa: 0.8239, kb_relative_information_score: 0.7878, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9017, predictive_accuracy: 0.8835, prior_entropy: 1.7874, recall: 0.8835, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.5822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8737, kappa: 0.8119, kb_relative_information_score: 0.8287, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8943, predictive_accuracy: 0.8728, prior_entropy: 1.7874, recall: 0.8728, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.6084,
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: 0.9972, 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: 0.9648, 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: 0.9383, f_measure: 0.9095, kappa: 0.8671, kb_relative_information_score: 0.8628, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9111, predictive_accuracy: 0.9084, prior_entropy: 1.7874, recall: 0.9084, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.214, root_relative_squared_error: 0.5161,
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,
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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,
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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,
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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: 0.9972, 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,
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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: 0.9972, 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,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, 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: 0.9972, 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: 0.9954, 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: 0.5324, kappa: 0.0664, kb_relative_information_score: 0.1806, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4174, prior_entropy: 1.7874, recall: 0.4174, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5397, root_relative_squared_error: 1.3019,
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: 0.9972, 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: 0.7997, kappa: 0.6108, kb_relative_information_score: 0.5946, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.7503, prior_entropy: 1.7874, recall: 0.7503, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9856, kappa: 0.9792, kb_relative_information_score: 0.9746, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9862, predictive_accuracy: 0.9857, prior_entropy: 1.7874, recall: 0.9857, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2037,

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