OpenML
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 12 Supervised Classification mfeat-factors 23377 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 random_tag 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9214, kappa: 0.9133, kb_relative_information_score: 0.7005, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.18, weighted_recall: 0.922, number_of_instances: 2000, precision: 0.9235, predictive_accuracy: 0.922, prior_entropy: 3.3219, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5774, unweighted_recall: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8241, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, weighted_recall: 0.8235, number_of_instances: 2000, precision: 0.8297, predictive_accuracy: 0.8235, prior_entropy: 3.3219, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263, unweighted_recall: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8909, kappa: 0.8789, kb_relative_information_score: 0.89, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.18, weighted_recall: 0.891, number_of_instances: 2000, precision: 0.8911, predictive_accuracy: 0.891, prior_entropy: 3.3219, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.477, unweighted_recall: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.951, kappa: 0.9456, kb_relative_information_score: 0.9445, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.18, weighted_recall: 0.951, number_of_instances: 2000, precision: 0.9511, predictive_accuracy: 0.951, prior_entropy: 3.3219, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2965, unweighted_recall: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9781, kappa: 0.9756, kb_relative_information_score: 0.977, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, weighted_recall: 0.978, number_of_instances: 2000, precision: 0.9783, predictive_accuracy: 0.978, prior_entropy: 3.3219, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2211, unweighted_recall: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8895, kappa: 0.8772, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.18, weighted_recall: 0.8895, number_of_instances: 2000, precision: 0.8913, predictive_accuracy: 0.8895, prior_entropy: 3.3219, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4955, unweighted_recall: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9615, kappa: 0.9572, kb_relative_information_score: 0.9579, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, weighted_recall: 0.9615, number_of_instances: 2000, precision: 0.9616, predictive_accuracy: 0.9615, prior_entropy: 3.3219, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.2571, unweighted_recall: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 0.9003, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, weighted_recall: 0.9725, number_of_instances: 2000, precision: 0.9727, predictive_accuracy: 0.9725, prior_entropy: 3.3219, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3095, unweighted_recall: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9455, kappa: 0.9394, kb_relative_information_score: 0.9115, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, weighted_recall: 0.9455, number_of_instances: 2000, precision: 0.9457, predictive_accuracy: 0.9455, prior_entropy: 3.3219, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.3344, unweighted_recall: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.3746, kappa: 0.3111, kb_relative_information_score: 0.1936, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.18, weighted_recall: 0.38, number_of_instances: 2000, precision: 0.4506, predictive_accuracy: 0.38, prior_entropy: 3.3219, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.9492, unweighted_recall: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8886, kappa: 0.8761, kb_relative_information_score: 0.8834, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.18, weighted_recall: 0.8885, number_of_instances: 2000, precision: 0.8891, predictive_accuracy: 0.8885, prior_entropy: 3.3219, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4978, unweighted_recall: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8241, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, weighted_recall: 0.8235, number_of_instances: 2000, precision: 0.8297, predictive_accuracy: 0.8235, prior_entropy: 3.3219, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263, unweighted_recall: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9109, kappa: 0.9011, kb_relative_information_score: 0.9095, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9113, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.4307, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.951, kappa: 0.9456, kb_relative_information_score: 0.9445, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.18, weighted_recall: 0.951, number_of_instances: 2000, precision: 0.9511, predictive_accuracy: 0.951, prior_entropy: 3.3219, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2965, unweighted_recall: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9781, kappa: 0.9756, kb_relative_information_score: 0.977, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, weighted_recall: 0.978, number_of_instances: 2000, precision: 0.9783, predictive_accuracy: 0.978, prior_entropy: 3.3219, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2211, unweighted_recall: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8895, kappa: 0.8772, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.18, weighted_recall: 0.8895, number_of_instances: 2000, precision: 0.8913, predictive_accuracy: 0.8895, prior_entropy: 3.3219, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4955, unweighted_recall: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9615, kappa: 0.9572, kb_relative_information_score: 0.9579, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, weighted_recall: 0.9615, number_of_instances: 2000, precision: 0.9616, predictive_accuracy: 0.9615, prior_entropy: 3.3219, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.2571, unweighted_recall: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 0.8988, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.18, weighted_recall: 0.971, number_of_instances: 2000, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 3.3219, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.312, unweighted_recall: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9326, kappa: 0.925, kb_relative_information_score: 0.9104, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, weighted_recall: 0.9325, number_of_instances: 2000, precision: 0.9328, predictive_accuracy: 0.9325, prior_entropy: 3.3219, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3394, unweighted_recall: 0.9325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.3746, kappa: 0.3111, kb_relative_information_score: 0.1936, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.18, weighted_recall: 0.38, number_of_instances: 2000, precision: 0.4506, predictive_accuracy: 0.38, prior_entropy: 3.3219, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.9492, unweighted_recall: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8907, kappa: 0.8783, kb_relative_information_score: 0.8855, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, weighted_recall: 0.8905, number_of_instances: 2000, precision: 0.891, predictive_accuracy: 0.8905, prior_entropy: 3.3219, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4933, unweighted_recall: 0.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.3746, kappa: 0.3111, kb_relative_information_score: 0.1936, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.18, weighted_recall: 0.38, number_of_instances: 2000, precision: 0.4506, predictive_accuracy: 0.38, prior_entropy: 3.3219, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.9492, unweighted_recall: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8932, kappa: 0.8811, kb_relative_information_score: 0.8881, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.18, weighted_recall: 0.893, number_of_instances: 2000, precision: 0.894, predictive_accuracy: 0.893, prior_entropy: 3.3219, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4876, unweighted_recall: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.3746, kappa: 0.3111, kb_relative_information_score: 0.1936, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.18, weighted_recall: 0.38, number_of_instances: 2000, precision: 0.4506, predictive_accuracy: 0.38, prior_entropy: 3.3219, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.9492, unweighted_recall: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.893, kappa: 0.8811, kb_relative_information_score: 0.8881, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.18, weighted_recall: 0.893, number_of_instances: 2000, precision: 0.8932, predictive_accuracy: 0.893, prior_entropy: 3.3219, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4876, unweighted_recall: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8891, kappa: 0.8767, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, weighted_recall: 0.889, number_of_instances: 2000, precision: 0.8894, predictive_accuracy: 0.889, prior_entropy: 3.3219, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4967, unweighted_recall: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8882, kappa: 0.8756, kb_relative_information_score: 0.8829, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.18, weighted_recall: 0.888, number_of_instances: 2000, precision: 0.8888, predictive_accuracy: 0.888, prior_entropy: 3.3219, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.4989, unweighted_recall: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8909, kappa: 0.8789, kb_relative_information_score: 0.886, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.18, weighted_recall: 0.891, number_of_instances: 2000, precision: 0.8911, predictive_accuracy: 0.891, prior_entropy: 3.3219, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4922, unweighted_recall: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8844, kappa: 0.8711, kb_relative_information_score: 0.8787, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.18, weighted_recall: 0.884, number_of_instances: 2000, precision: 0.8851, predictive_accuracy: 0.884, prior_entropy: 3.3219, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.5077, unweighted_recall: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8907, kappa: 0.8783, kb_relative_information_score: 0.8855, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, weighted_recall: 0.8905, number_of_instances: 2000, precision: 0.8912, predictive_accuracy: 0.8905, prior_entropy: 3.3219, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4933, unweighted_recall: 0.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.888, kappa: 0.8756, kb_relative_information_score: 0.8829, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.18, weighted_recall: 0.888, number_of_instances: 2000, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 3.3219, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.4989, unweighted_recall: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8919, kappa: 0.88, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.18, weighted_recall: 0.892, number_of_instances: 2000, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 3.3219, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.147, root_relative_squared_error: 0.4899, unweighted_recall: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9716, kappa: 0.9683, kb_relative_information_score: 0.9702, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, weighted_recall: 0.9715, number_of_instances: 2000, precision: 0.9719, predictive_accuracy: 0.9715, prior_entropy: 3.3219, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2517, usercpu_time_millis: 22.175, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 21.875, unweighted_recall: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.97, kappa: 0.9667, kb_relative_information_score: 0.9686, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, weighted_recall: 0.97, number_of_instances: 2000, precision: 0.9703, predictive_accuracy: 0.97, prior_entropy: 3.3219, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2582, usercpu_time_millis: 96.77, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 96.26, unweighted_recall: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9729, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.18, weighted_recall: 0.973, number_of_instances: 2000, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 3.3219, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2172, unweighted_recall: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9636, kappa: 0.9594, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, weighted_recall: 0.9635, number_of_instances: 2000, precision: 0.9639, predictive_accuracy: 0.9635, prior_entropy: 3.3219, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.2461, unweighted_recall: 0.9635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8596, kappa: 0.8428, kb_relative_information_score: 0.8541, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.18, weighted_recall: 0.8585, number_of_instances: 2000, precision: 0.862, predictive_accuracy: 0.8585, prior_entropy: 3.3219, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5214, unweighted_recall: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9676, kappa: 0.9639, kb_relative_information_score: 0.9663, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, weighted_recall: 0.9675, number_of_instances: 2000, precision: 0.9679, predictive_accuracy: 0.9675, prior_entropy: 3.3219, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2358, unweighted_recall: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9677, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, weighted_recall: 0.972, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.2254, unweighted_recall: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9552, kappa: 0.95, kb_relative_information_score: 0.9542, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.18, weighted_recall: 0.955, number_of_instances: 2000, precision: 0.9558, predictive_accuracy: 0.955, prior_entropy: 3.3219, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.084, root_relative_squared_error: 0.2799, unweighted_recall: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9729, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, weighted_recall: 0.973, number_of_instances: 2000, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 3.3219, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.2317, unweighted_recall: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8919, kappa: 0.8783, kb_relative_information_score: 0.8823, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.18, weighted_recall: 0.8905, number_of_instances: 2000, precision: 0.8946, predictive_accuracy: 0.8905, prior_entropy: 3.3219, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.4405, unweighted_recall: 0.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 0.9572, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, weighted_recall: 0.961, number_of_instances: 2000, precision: 0.9613, predictive_accuracy: 0.961, prior_entropy: 3.3219, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2564, unweighted_recall: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.969, kappa: 0.9656, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, weighted_recall: 0.969, number_of_instances: 2000, precision: 0.9692, predictive_accuracy: 0.969, prior_entropy: 3.3219, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.073, root_relative_squared_error: 0.2434, unweighted_recall: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9645, kappa: 0.9606, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, weighted_recall: 0.9645, number_of_instances: 2000, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 3.3219, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2543, unweighted_recall: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9661, kappa: 0.9622, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, weighted_recall: 0.966, number_of_instances: 2000, precision: 0.9662, predictive_accuracy: 0.966, prior_entropy: 3.3219, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2517, unweighted_recall: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9556, kappa: 0.9506, kb_relative_information_score: 0.9561, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, weighted_recall: 0.9555, number_of_instances: 2000, precision: 0.9563, predictive_accuracy: 0.9555, prior_entropy: 3.3219, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.292, unweighted_recall: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9715, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.18, weighted_recall: 0.973, number_of_instances: 2000, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 3.3219, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.2207, unweighted_recall: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.9664, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, weighted_recall: 0.9675, number_of_instances: 2000, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 3.3219, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.2406, unweighted_recall: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 0.9727, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, weighted_recall: 0.9745, number_of_instances: 2000, precision: 0.9746, predictive_accuracy: 0.9745, prior_entropy: 3.3219, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.2179, unweighted_recall: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9161, kappa: 0.9067, kb_relative_information_score: 0.9138, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.18, weighted_recall: 0.916, number_of_instances: 2000, precision: 0.919, predictive_accuracy: 0.916, prior_entropy: 3.3219, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.126, root_relative_squared_error: 0.4199, unweighted_recall: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9622, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, weighted_recall: 0.968, number_of_instances: 2000, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 3.3219, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.2347, unweighted_recall: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.9661, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, weighted_recall: 0.9675, number_of_instances: 2000, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 3.3219, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2391, unweighted_recall: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 0.967, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 2000, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 3.3219, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.242, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9292, kappa: 0.9211, kb_relative_information_score: 0.9189, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.18, weighted_recall: 0.929, number_of_instances: 2000, precision: 0.9298, predictive_accuracy: 0.929, prior_entropy: 3.3219, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.357, unweighted_recall: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, weighted_recall: 0.9765, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2053, unweighted_recall: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.968, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, weighted_recall: 0.9675, number_of_instances: 2000, precision: 0.9678, predictive_accuracy: 0.9675, prior_entropy: 3.3219, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2478, unweighted_recall: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9626, kappa: 0.9583, kb_relative_information_score: 0.9591, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, weighted_recall: 0.9625, number_of_instances: 2000, precision: 0.9629, predictive_accuracy: 0.9625, prior_entropy: 3.3219, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.2528, unweighted_recall: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, weighted_recall: 0.968, number_of_instances: 2000, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 3.3219, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.2314, unweighted_recall: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9596, kappa: 0.955, kb_relative_information_score: 0.9595, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, weighted_recall: 0.9595, number_of_instances: 2000, precision: 0.9599, predictive_accuracy: 0.9595, prior_entropy: 3.3219, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.2738, unweighted_recall: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 0.963, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, weighted_recall: 0.961, number_of_instances: 2000, precision: 0.9611, predictive_accuracy: 0.961, prior_entropy: 3.3219, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2647, unweighted_recall: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9565, kappa: 0.9517, kb_relative_information_score: 0.9567, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, weighted_recall: 0.9565, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.9565, prior_entropy: 3.3219, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2819, unweighted_recall: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9661, kappa: 0.9622, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.966, number_of_instances: 2000, precision: 0.9664, predictive_accuracy: 0.966, prior_entropy: 3.3219, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2427, unweighted_recall: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9641, kappa: 0.96, kb_relative_information_score: 0.9612, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, weighted_recall: 0.964, number_of_instances: 2000, precision: 0.9645, predictive_accuracy: 0.964, prior_entropy: 3.3219, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2498, unweighted_recall: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9586, kappa: 0.9539, kb_relative_information_score: 0.9572, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, weighted_recall: 0.9585, number_of_instances: 2000, precision: 0.9589, predictive_accuracy: 0.9585, prior_entropy: 3.3219, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.2639, unweighted_recall: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 0.9708, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, weighted_recall: 0.971, number_of_instances: 2000, precision: 0.9712, predictive_accuracy: 0.971, prior_entropy: 3.3219, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.2322, unweighted_recall: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.966, kappa: 0.9622, kb_relative_information_score: 0.9662, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, weighted_recall: 0.966, number_of_instances: 2000, precision: 0.9662, predictive_accuracy: 0.966, prior_entropy: 3.3219, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2427, unweighted_recall: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 0.9687, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, weighted_recall: 0.9705, number_of_instances: 2000, precision: 0.9706, predictive_accuracy: 0.9705, prior_entropy: 3.3219, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.2226, unweighted_recall: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9706, kappa: 0.9672, kb_relative_information_score: 0.9637, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, weighted_recall: 0.9705, number_of_instances: 2000, precision: 0.9708, predictive_accuracy: 0.9705, prior_entropy: 3.3219, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2337, unweighted_recall: 0.9705,

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

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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

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