Task
Supervised Classification on har

Supervised Classification on har

Task 14970 Supervised Classification har 12773 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_99
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12773 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9863, kappa: 0.9835, kb_relative_information_score: 0.9852, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 2.5759, recall: 0.9863, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.1815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9835, kappa: 0.9801, kb_relative_information_score: 0.9822, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 2.5759, recall: 0.9835, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.1993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9835, kappa: 0.9801, kb_relative_information_score: 0.9822, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 2.5759, recall: 0.9835, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.1993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9834, kappa: 0.98, kb_relative_information_score: 0.9821, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 2.5759, recall: 0.9834, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.1999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9834, kappa: 0.98, kb_relative_information_score: 0.9821, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 2.5759, recall: 0.9834, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.1999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9833, kappa: 0.9799, kb_relative_information_score: 0.982, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.5759, recall: 0.9833, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.2005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9833, kappa: 0.9799, kb_relative_information_score: 0.982, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.5759, recall: 0.9833, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.2005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9833, kappa: 0.9799, kb_relative_information_score: 0.982, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.5759, recall: 0.9833, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.2005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9833, kappa: 0.9799, kb_relative_information_score: 0.982, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.5759, recall: 0.9833, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.2005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9752, kappa: 0.9702, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9752, predictive_accuracy: 0.9752, prior_entropy: 2.5759, recall: 0.9752, relative_absolute_error: 0.0298, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9856, kappa: 0.9827, kb_relative_information_score: 0.9845, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 2.5759, recall: 0.9856, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9752, kappa: 0.9702, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9752, predictive_accuracy: 0.9752, prior_entropy: 2.5759, recall: 0.9752, relative_absolute_error: 0.0298, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9837, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, recall: 0.9849, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.1909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9856, kappa: 0.9827, kb_relative_information_score: 0.9845, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 2.5759, recall: 0.9856, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9858, kappa: 0.9829, kb_relative_information_score: 0.9847, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 2.5759, recall: 0.9858, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.1847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9837, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, recall: 0.9849, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.1909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9868, kappa: 0.9841, kb_relative_information_score: 0.9858, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 2.5759, recall: 0.9868, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.1782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9858, kappa: 0.9829, kb_relative_information_score: 0.9847, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 2.5759, recall: 0.9858, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.1847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9869, kappa: 0.9842, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 2.5759, recall: 0.9869, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9868, kappa: 0.9841, kb_relative_information_score: 0.9858, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 2.5759, recall: 0.9868, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.1782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9869, kappa: 0.9842, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 2.5759, recall: 0.9869, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8931, kappa: 0.8728, kb_relative_information_score: 0.8802, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8946, predictive_accuracy: 0.8944, prior_entropy: 2.5759, recall: 0.8944, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8931, kappa: 0.8728, kb_relative_information_score: 0.8802, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8946, predictive_accuracy: 0.8944, prior_entropy: 2.5759, recall: 0.8944, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, kappa: 0.5425, kb_relative_information_score: 0.5693, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.6218, prior_entropy: 2.5759, recall: 0.6218, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, kappa: 0.5425, kb_relative_information_score: 0.5693, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.6218, prior_entropy: 2.5759, recall: 0.6218, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8561, kappa: 0.8123, kb_relative_information_score: 0.8267, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9052, predictive_accuracy: 0.8432, prior_entropy: 2.5759, recall: 0.8432, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.6142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8561, kappa: 0.8123, kb_relative_information_score: 0.8267, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9052, predictive_accuracy: 0.8432, prior_entropy: 2.5759, recall: 0.8432, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.6142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8892, kappa: 0.8563, kb_relative_information_score: 0.8677, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9222, predictive_accuracy: 0.8801, prior_entropy: 2.5759, recall: 0.8801, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8892, kappa: 0.8563, kb_relative_information_score: 0.8677, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9222, predictive_accuracy: 0.8801, prior_entropy: 2.5759, recall: 0.8801, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9251, kappa: 0.9042, kb_relative_information_score: 0.9124, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9422, predictive_accuracy: 0.9202, prior_entropy: 2.5759, recall: 0.9202, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9251, kappa: 0.9042, kb_relative_information_score: 0.9124, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9422, predictive_accuracy: 0.9202, prior_entropy: 2.5759, recall: 0.9202, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9013, kappa: 0.8825, kb_relative_information_score: 0.8915, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9089, predictive_accuracy: 0.9024, prior_entropy: 2.5759, recall: 0.9024, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9013, kappa: 0.8825, kb_relative_information_score: 0.8915, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9089, predictive_accuracy: 0.9024, prior_entropy: 2.5759, recall: 0.9024, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9499, kappa: 0.9398, kb_relative_information_score: 0.9449, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 2.5759, recall: 0.95, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9499, kappa: 0.9398, kb_relative_information_score: 0.9449, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 2.5759, recall: 0.95, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, kappa: 0.2181, kb_relative_information_score: 0.2818, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.3579, prior_entropy: 2.5759, recall: 0.3579, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, kappa: 0.2181, kb_relative_information_score: 0.2818, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.3579, prior_entropy: 2.5759, recall: 0.3579, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9369, kappa: 0.9244, kb_relative_information_score: 0.9305, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9384, predictive_accuracy: 0.9372, prior_entropy: 2.5759, recall: 0.9372, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3888,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.52, root_relative_squared_error: 1.3971,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9881, kappa: 0.9856, kb_relative_information_score: 0.987, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 2.5759, recall: 0.9881, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.1695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9886, kappa: 0.9863, kb_relative_information_score: 0.9877, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9887, predictive_accuracy: 0.9886, prior_entropy: 2.5759, recall: 0.9886, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.988, kappa: 0.9855, kb_relative_information_score: 0.9868, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 2.5759, recall: 0.988, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.1702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9881, kappa: 0.9856, kb_relative_information_score: 0.987, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 2.5759, recall: 0.9881, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.1695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.4632, kappa: 0.3575, kb_relative_information_score: 0.4104, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.4948, predictive_accuracy: 0.4667, prior_entropy: 2.5759, recall: 0.4667, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.1327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.988, kappa: 0.9855, kb_relative_information_score: 0.9868, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 2.5759, recall: 0.988, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.1702,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs