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: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 0.9849, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.1499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9212, kappa: 0.883, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9285, predictive_accuracy: 0.9203, prior_entropy: 1.7874, recall: 0.9203, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.478,
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: 0.9999, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 0.9844, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7874, recall: 0.9893, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.1492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9858, mean_absolute_error: 0.0072, 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: 0.0209, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.044, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9915, 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: 0.9995, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 0.8647, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 1.7874, recall: 0.9822, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9381, kappa: 0.9101, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.7874, recall: 0.9382, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9381, kappa: 0.9101, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.7874, recall: 0.9382, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 0.9753, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9859, predictive_accuracy: 0.9857, prior_entropy: 1.7874, recall: 0.9857, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9381, kappa: 0.9101, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.7874, recall: 0.9382, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9381, kappa: 0.9101, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.7874, recall: 0.9382, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9298, kappa: 0.8979, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9301, predictive_accuracy: 0.9298, prior_entropy: 1.7874, recall: 0.9298, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.981, kappa: 0.9724, kb_relative_information_score: 0.9745, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 1.7874, recall: 0.981, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9878, mean_absolute_error: 0.0059, 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: 0.0173, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9714, kappa: 0.9583, kb_relative_information_score: 0.815, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 1.7874, recall: 0.9715, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9298, kappa: 0.8979, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9301, predictive_accuracy: 0.9298, prior_entropy: 1.7874, recall: 0.9298, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9381, kappa: 0.9101, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.7874, recall: 0.9382, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9878, mean_absolute_error: 0.0059, 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: 0.0173, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9714, kappa: 0.9583, kb_relative_information_score: 0.815, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 1.7874, recall: 0.9715, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.981, kappa: 0.9724, kb_relative_information_score: 0.9745, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 1.7874, recall: 0.981, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, kappa: 0.4341, kb_relative_information_score: 0.3574, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6421, prior_entropy: 1.7874, recall: 0.6421, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, kappa: 0.4341, kb_relative_information_score: 0.3574, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6421, prior_entropy: 1.7874, recall: 0.6421, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 0.8682, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7874, recall: 0.9905, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.2841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 0.8681, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.957, kappa: 0.9376, kb_relative_information_score: 0.9277, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9574, predictive_accuracy: 0.9572, prior_entropy: 1.7874, recall: 0.9572, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 0.9325, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.7874, recall: 0.956, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9731, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.4398, mean_absolute_error: 0.2502, 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: 0.7276, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.312, root_relative_squared_error: 0.7527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9916, kappa: 0.9879, kb_relative_information_score: 0.4377, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 0.9763, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7874, recall: 0.9845, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.087, root_relative_squared_error: 0.21,
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: 0.5, 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: 0.9416, kappa: 0.8734, kb_relative_information_score: 0.8282, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.9144, prior_entropy: 1.7874, recall: 0.9144, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4991,
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: 0.9416, kappa: 0.8734, kb_relative_information_score: 0.8282, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.9144, prior_entropy: 1.7874, recall: 0.9144, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4991,
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,
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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: 0.9953, f_measure: 0.9941, 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: 0.5, 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