Task
Supervised Classification on sylva_agnostic

Supervised Classification on sylva_agnostic

Task 3889 Supervised Classification sylva_agnostic 59492 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k
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59492 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9893, kappa: 0.9073, kb_relative_information_score: 12258.1713, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.3857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9898, kappa: 0.9119, kb_relative_information_score: 12316.3759, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.3338, recall: 0.9898, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9899, kappa: 0.9128, kb_relative_information_score: 12360.1548, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9902, kappa: 0.9146, kb_relative_information_score: 12675.6384, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.3338, recall: 0.9902, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9887, kappa: 0.9024, kb_relative_information_score: 12458.2055, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9896, kappa: 0.9103, kb_relative_information_score: 12025.6909, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9895, prior_entropy: 0.3338, recall: 0.9895, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.3908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9893, kappa: 0.9069, kb_relative_information_score: 12053.2336, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9897, kappa: 0.9103, kb_relative_information_score: 12043.2892, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9895, kappa: 0.9092, kb_relative_information_score: 12053.1701, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9897, kappa: 0.9109, kb_relative_information_score: 12369.5548, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9894, kappa: 0.9079, kb_relative_information_score: 12052.0204, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9904, kappa: 0.9174, kb_relative_information_score: 12329.8081, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9905, predictive_accuracy: 0.9904, prior_entropy: 0.3338, recall: 0.9904, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9904, kappa: 0.9167, kb_relative_information_score: 12743.7203, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3338, recall: 0.9905, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9902, kappa: 0.9154, kb_relative_information_score: 12333.2174, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.3338, recall: 0.9902, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.989, kappa: 0.9049, kb_relative_information_score: 12527.3632, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9894, kappa: 0.9087, kb_relative_information_score: 12158.3395, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9903, kappa: 0.9159, kb_relative_information_score: 12248.4432, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.3338, recall: 0.9903, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9897, kappa: 0.9099, kb_relative_information_score: 12338.7561, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9886, kappa: 0.9013, kb_relative_information_score: 12429.6467, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.3338, recall: 0.9886, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9894, kappa: 0.9084, kb_relative_information_score: 12393.7888, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9888, kappa: 0.9028, kb_relative_information_score: 12324.7933, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9896, kappa: 0.911, kb_relative_information_score: 12049.3307, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9895, prior_entropy: 0.3338, recall: 0.9895, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9905, kappa: 0.9178, kb_relative_information_score: 12304.6443, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9905, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9897, kappa: 0.9117, kb_relative_information_score: 12071.1363, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9899, kappa: 0.9116, kb_relative_information_score: 12348.1897, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9894, kappa: 0.9091, kb_relative_information_score: 12061.8765, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9899, kappa: 0.9117, kb_relative_information_score: 12314.3498, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.3709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9887, kappa: 0.9019, kb_relative_information_score: 12421.5725, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.4064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9894, kappa: 0.9087, kb_relative_information_score: 12168.3883, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9883, kappa: 0.8984, kb_relative_information_score: 12375.7487, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9886, kappa: 0.9004, kb_relative_information_score: 12430.3374, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.3338, recall: 0.9886, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9901, kappa: 0.9139, kb_relative_information_score: 12205.482, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.3606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9901, kappa: 0.9139, kb_relative_information_score: 12175.8929, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.3611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9894, kappa: 0.9086, kb_relative_information_score: 11980.404, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.092, root_relative_squared_error: 0.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9892, kappa: 0.9061, kb_relative_information_score: 12407.822, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9888, kappa: 0.9027, kb_relative_information_score: 12345.9476, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.99, kappa: 0.9133, kb_relative_information_score: 12092.6826, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9896, kappa: 0.9097, kb_relative_information_score: 12397.3762, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9885, kappa: 0.8997, kb_relative_information_score: 12583.9132, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9885, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.094, root_relative_squared_error: 0.3912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9899, kappa: 0.9128, kb_relative_information_score: 12314.0288, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9895, kappa: 0.9092, kb_relative_information_score: 12052.2764, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.3685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9901, kappa: 0.9139, kb_relative_information_score: 12164.1657, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.3632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9902, kappa: 0.9154, kb_relative_information_score: 12324.8782, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9902, predictive_accuracy: 0.9903, prior_entropy: 0.3338, recall: 0.9903, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9888, kappa: 0.903, kb_relative_information_score: 12388.853, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9899, kappa: 0.9132, kb_relative_information_score: 12075.239, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9893, kappa: 0.907, kb_relative_information_score: 12410.8512, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3897,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9898, kappa: 0.912, kb_relative_information_score: 12269.0913, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.3338, recall: 0.9898, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.3811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9898, kappa: 0.912, kb_relative_information_score: 12331.9708, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.3338, recall: 0.9898, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.3892,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9892, kappa: 0.9067, kb_relative_information_score: 12030.858, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9907, kappa: 0.9192, kb_relative_information_score: 12786.9727, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9907, predictive_accuracy: 0.9908, prior_entropy: 0.3338, recall: 0.9908, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.3765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9906, kappa: 0.9183, kb_relative_information_score: 12374.4378, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.361,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9889, kappa: 0.9041, kb_relative_information_score: 12472.9349, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9889, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.102, root_relative_squared_error: 0.4245,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9893, kappa: 0.908, kb_relative_information_score: 12051.3683, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9894, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9898, kappa: 0.9127, kb_relative_information_score: 12056.4087, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9897, kappa: 0.9102, kb_relative_information_score: 12617.807, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9896, kappa: 0.9101, kb_relative_information_score: 12350.3455, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9895, kappa: 0.9098, kb_relative_information_score: 12053.2805, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9895, kappa: 0.9095, kb_relative_information_score: 12311.6324, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9895, prior_entropy: 0.3338, recall: 0.9895, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9901, kappa: 0.9148, kb_relative_information_score: 12344.0987, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.99, kappa: 0.9135, kb_relative_information_score: 12366.1305, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9899, kappa: 0.9117, kb_relative_information_score: 12314.9017, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9904, kappa: 0.9166, kb_relative_information_score: 12261.3089, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.3338, recall: 0.9904, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3618,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9895, kappa: 0.9096, kb_relative_information_score: 12069.3944, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9899, kappa: 0.9131, kb_relative_information_score: 12463.9856, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9909, kappa: 0.9207, kb_relative_information_score: 12737.9917, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9908, predictive_accuracy: 0.9909, prior_entropy: 0.3338, recall: 0.9909, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9896, kappa: 0.9096, kb_relative_information_score: 12043.6674, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.3696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9888, kappa: 0.9037, kb_relative_information_score: 12434.7782, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9889, predictive_accuracy: 0.9888, prior_entropy: 0.3338, recall: 0.9888, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.4045,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9896, kappa: 0.91, kb_relative_information_score: 12037.7178, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3675,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9895, kappa: 0.9088, kb_relative_information_score: 12370.8794, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.3338, recall: 0.9895, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.094, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9892, kappa: 0.9071, kb_relative_information_score: 12085.1572, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9885, kappa: 0.9006, kb_relative_information_score: 12353.0853, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 0.3338, recall: 0.9885, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.99, kappa: 0.9133, kb_relative_information_score: 12132.8462, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.3657,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9894, kappa: 0.9086, kb_relative_information_score: 11995.568, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3821,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9905, kappa: 0.9171, kb_relative_information_score: 12259.2429, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3338, recall: 0.9905, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.99, kappa: 0.9127, kb_relative_information_score: 12046.9719, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 0.3338, recall: 0.99, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9893, kappa: 0.9075, kb_relative_information_score: 12272.7195, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9893, kappa: 0.9072, kb_relative_information_score: 11992.193, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9891, kappa: 0.9058, kb_relative_information_score: 12473.3683, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9897, kappa: 0.9118, kb_relative_information_score: 12052.4436, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9903, kappa: 0.916, kb_relative_information_score: 12352.1266, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.3338, recall: 0.9903, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.3625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9893, kappa: 0.9082, kb_relative_information_score: 12139.1657, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9895, kappa: 0.9093, kb_relative_information_score: 12338.3759, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.3338, recall: 0.9895, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9894, kappa: 0.9085, kb_relative_information_score: 12335.034, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9896, kappa: 0.9108, kb_relative_information_score: 12036.2762, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9893, kappa: 0.9072, kb_relative_information_score: 12158.9267, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.3848,

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