OpenML
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 24268 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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24268 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9455, kappa: 0.9394, kb_relative_information_score: 0.9301, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.18, weighted_recall: 0.9455, number_of_instances: 2000, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 3.3219, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.336, unweighted_recall: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9399, kappa: 0.9333, kb_relative_information_score: 0.7923, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, weighted_recall: 0.94, number_of_instances: 2000, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 3.3219, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4597, unweighted_recall: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.933, kappa: 0.9256, kb_relative_information_score: 0.9226, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.18, weighted_recall: 0.933, number_of_instances: 2000, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 3.3219, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.368, unweighted_recall: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.954, kappa: 0.9489, kb_relative_information_score: 0.9286, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.18, weighted_recall: 0.954, number_of_instances: 2000, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 3.3219, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3107, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9267, kappa: 0.9183, kb_relative_information_score: 0.9167, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.18, weighted_recall: 0.9265, number_of_instances: 2000, precision: 0.927, predictive_accuracy: 0.9265, prior_entropy: 3.3219, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.3883, unweighted_recall: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9092, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3251, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.954, kappa: 0.9489, kb_relative_information_score: 0.9286, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.18, weighted_recall: 0.954, number_of_instances: 2000, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 3.3219, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3107, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9197, kappa: 0.9106, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, weighted_recall: 0.9195, number_of_instances: 2000, precision: 0.9201, predictive_accuracy: 0.9195, prior_entropy: 3.3219, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.12, root_relative_squared_error: 0.4, unweighted_recall: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.947, kappa: 0.9411, kb_relative_information_score: 0.8501, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, weighted_recall: 0.947, number_of_instances: 2000, precision: 0.9476, predictive_accuracy: 0.947, prior_entropy: 3.3219, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3874, unweighted_recall: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9524, kappa: 0.9472, kb_relative_information_score: 0.9006, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, weighted_recall: 0.9525, number_of_instances: 2000, precision: 0.9528, predictive_accuracy: 0.9525, prior_entropy: 3.3219, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.3244, unweighted_recall: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9211, kappa: 0.9122, kb_relative_information_score: 0.914, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.18, weighted_recall: 0.921, number_of_instances: 2000, precision: 0.9214, predictive_accuracy: 0.921, prior_entropy: 3.3219, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.3965, unweighted_recall: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9524, kappa: 0.9472, kb_relative_information_score: 0.9006, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, weighted_recall: 0.9525, number_of_instances: 2000, precision: 0.9528, predictive_accuracy: 0.9525, prior_entropy: 3.3219, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.3244, unweighted_recall: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.933, kappa: 0.9256, kb_relative_information_score: 0.9226, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.18, weighted_recall: 0.933, number_of_instances: 2000, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 3.3219, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.368, unweighted_recall: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9197, kappa: 0.9106, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, weighted_recall: 0.9195, number_of_instances: 2000, precision: 0.9201, predictive_accuracy: 0.9195, prior_entropy: 3.3219, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.12, root_relative_squared_error: 0.4, unweighted_recall: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.933, kappa: 0.9256, kb_relative_information_score: 0.9226, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.18, weighted_recall: 0.933, number_of_instances: 2000, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 3.3219, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.368, unweighted_recall: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.943, kappa: 0.9367, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.18, weighted_recall: 0.943, number_of_instances: 2000, precision: 0.9431, predictive_accuracy: 0.943, prior_entropy: 3.3219, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.3414, unweighted_recall: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9375, kappa: 0.9306, kb_relative_information_score: 0.924, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.18, weighted_recall: 0.9375, number_of_instances: 2000, precision: 0.9376, predictive_accuracy: 0.9375, prior_entropy: 3.3219, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.365, unweighted_recall: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.933, kappa: 0.9256, kb_relative_information_score: 0.9226, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.18, weighted_recall: 0.933, number_of_instances: 2000, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 3.3219, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.368, unweighted_recall: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9455, kappa: 0.9394, kb_relative_information_score: 0.9301, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.18, weighted_recall: 0.9455, number_of_instances: 2000, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 3.3219, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.336, unweighted_recall: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,

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