Task
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 12 Supervised Classification mfeat-factors 26203 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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26203 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9758, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, weighted_recall: 0.981, number_of_instances: 2000, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 3.3219, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2089, unweighted_recall: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.982, kappa: 0.98, kb_relative_information_score: 0.9791, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, weighted_recall: 0.982, number_of_instances: 2000, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 3.3219, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1864, unweighted_recall: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9425, kappa: 0.9361, kb_relative_information_score: 0.7504, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, weighted_recall: 0.9425, number_of_instances: 2000, precision: 0.9437, predictive_accuracy: 0.9425, prior_entropy: 3.3219, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.5191, unweighted_recall: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 0.975, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, weighted_recall: 0.98, number_of_instances: 2000, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 3.3219, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2107, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.9708, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, weighted_recall: 0.979, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.2007, unweighted_recall: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9722, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, weighted_recall: 0.9805, number_of_instances: 2000, precision: 0.9805, predictive_accuracy: 0.9805, prior_entropy: 3.3219, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2005, unweighted_recall: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9755, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, weighted_recall: 0.981, number_of_instances: 2000, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 3.3219, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.2088, unweighted_recall: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 0.6312, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.18, weighted_recall: 0.962, number_of_instances: 2000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.18, weighted_recall: 0.9735, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.2349, unweighted_recall: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.8968, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.18, weighted_recall: 0.976, number_of_instances: 2000, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 3.3219, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2943, unweighted_recall: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9758, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, weighted_recall: 0.981, number_of_instances: 2000, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 3.3219, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2089, unweighted_recall: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9502, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.2195, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, weighted_recall: 0.981, number_of_instances: 2000, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 3.3219, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.202, unweighted_recall: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, weighted_recall: 0.9805, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.062, root_relative_squared_error: 0.2065, unweighted_recall: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 0.975, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, weighted_recall: 0.98, number_of_instances: 2000, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 3.3219, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2107, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, weighted_recall: 0.9795, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.2077, unweighted_recall: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9425, kappa: 0.9361, kb_relative_information_score: 0.7504, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, weighted_recall: 0.9425, number_of_instances: 2000, precision: 0.9437, predictive_accuracy: 0.9425, prior_entropy: 3.3219, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.5191, unweighted_recall: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 0.974, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, weighted_recall: 0.9795, number_of_instances: 2000, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 3.3219, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.204, unweighted_recall: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 0.8994, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, weighted_recall: 0.965, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 3.3219, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.314, unweighted_recall: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 0.975, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, weighted_recall: 0.98, number_of_instances: 2000, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 3.3219, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2107, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.982, kappa: 0.98, kb_relative_information_score: 0.9791, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, weighted_recall: 0.982, number_of_instances: 2000, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 3.3219, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1864, unweighted_recall: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 0.9753, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, weighted_recall: 0.9795, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, relative_absolute_error: 0.0371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1908, unweighted_recall: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 0.9258, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.18, weighted_recall: 0.9695, number_of_instances: 2000, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 3.3219, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.2724, unweighted_recall: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 0.9635, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, weighted_recall: 0.977, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2096, unweighted_recall: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, weighted_recall: 0.9795, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.2077, unweighted_recall: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9425, kappa: 0.9361, kb_relative_information_score: 0.7504, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, weighted_recall: 0.9425, number_of_instances: 2000, precision: 0.9437, predictive_accuracy: 0.9425, prior_entropy: 3.3219, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.5191, unweighted_recall: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, weighted_recall: 0.98, number_of_instances: 2000, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 3.3219, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2111, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9425, kappa: 0.9361, kb_relative_information_score: 0.7504, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, weighted_recall: 0.9425, number_of_instances: 2000, precision: 0.9437, predictive_accuracy: 0.9425, prior_entropy: 3.3219, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.5191, unweighted_recall: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9502, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.2195, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, weighted_recall: 0.981, number_of_instances: 2000, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 3.3219, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.202, unweighted_recall: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9425, kappa: 0.9361, kb_relative_information_score: 0.7504, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, weighted_recall: 0.9425, number_of_instances: 2000, precision: 0.9437, predictive_accuracy: 0.9425, prior_entropy: 3.3219, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.5191, unweighted_recall: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 0.974, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, weighted_recall: 0.9795, number_of_instances: 2000, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 3.3219, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.204, unweighted_recall: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.18, weighted_recall: 0.9735, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.2349, unweighted_recall: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9425, kappa: 0.9361, kb_relative_information_score: 0.7504, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, weighted_recall: 0.9425, number_of_instances: 2000, precision: 0.9437, predictive_accuracy: 0.9425, prior_entropy: 3.3219, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.5191, unweighted_recall: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, weighted_recall: 0.9795, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.2077, unweighted_recall: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199, unweighted_recall: 0.9785,

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