Task
Supervised Classification on sylva_agnostic

Supervised Classification on sylva_agnostic

Task 3889 Supervised Classification sylva_agnostic 60368 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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60368 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9897, kappa: 0.911, kb_relative_information_score: 12360.407, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9887, kappa: 0.902, kb_relative_information_score: 12366.6312, mean_absolute_error: 0.0116, 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: 0.1005, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9892, kappa: 0.9064, kb_relative_information_score: 12351.607, mean_absolute_error: 0.0119, 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: 0.103, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9896, kappa: 0.91, kb_relative_information_score: 12029.3277, 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: 0.1158, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.3695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9895, kappa: 0.9092, kb_relative_information_score: 12322.2915, mean_absolute_error: 0.0122, 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: 0.1057, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9895, kappa: 0.909, kb_relative_information_score: 12372.8887, 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: 0.1046, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9897, kappa: 0.9117, kb_relative_information_score: 12032.5388, mean_absolute_error: 0.014, 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: 0.121, 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: 0.9588, f_measure: 0.9888, kappa: 0.9024, kb_relative_information_score: 12459.4323, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.3338, recall: 0.9888, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.4246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9904, kappa: 0.9167, kb_relative_information_score: 12350.8369, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 0.3338, recall: 0.9903, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.3813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9892, kappa: 0.9067, kb_relative_information_score: 11991.0795, mean_absolute_error: 0.0142, 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: 0.1226, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9894, kappa: 0.9086, kb_relative_information_score: 12001.407, 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: 0.1237, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9896, kappa: 0.9103, kb_relative_information_score: 12042.0517, mean_absolute_error: 0.0138, 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: 0.1193, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9884, kappa: 0.8989, kb_relative_information_score: 12381.157, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9883, predictive_accuracy: 0.9884, prior_entropy: 0.3338, recall: 0.9884, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9896, kappa: 0.91, kb_relative_information_score: 12394.2828, 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: 0.0999, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9883, kappa: 0.8984, kb_relative_information_score: 12436.421, mean_absolute_error: 0.0114, 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: 0.0984, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9882, kappa: 0.898, kb_relative_information_score: 12335.5657, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.1048, 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: 0.9844, f_measure: 0.9896, kappa: 0.9101, kb_relative_information_score: 12336.6905, mean_absolute_error: 0.0121, 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: 0.1049, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9896, kappa: 0.9097, kb_relative_information_score: 12457.8231, mean_absolute_error: 0.0115, 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: 0.0991, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9904, kappa: 0.9165, kb_relative_information_score: 12284.4035, 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: 0.1055, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9891, kappa: 0.9053, kb_relative_information_score: 12351.858, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.3338, recall: 0.9891, relative_absolute_error: 0.1035, 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: 0.9873, f_measure: 0.99, kappa: 0.9136, kb_relative_information_score: 12196.2322, mean_absolute_error: 0.0124, 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: 0.1076, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9894, kappa: 0.9083, kb_relative_information_score: 12377.4278, mean_absolute_error: 0.0118, 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: 0.1022, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.99, kappa: 0.9132, kb_relative_information_score: 12328.4797, mean_absolute_error: 0.0122, 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: 0.1057, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9896, kappa: 0.9096, kb_relative_information_score: 12033.0423, 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: 0.1151, 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: 0.9759, f_measure: 0.9889, kappa: 0.9039, kb_relative_information_score: 12433.9057, mean_absolute_error: 0.0115, 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: 0.0995, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9892, kappa: 0.9059, kb_relative_information_score: 12567.472, mean_absolute_error: 0.0105, 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: 0.0906, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9894, kappa: 0.9087, kb_relative_information_score: 12166.5689, 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: 0.1134, 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: 0.9891, kappa: 0.9064, kb_relative_information_score: 12035.5331, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.3338, recall: 0.9891, relative_absolute_error: 0.1195, 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: 0.9885, f_measure: 0.9905, kappa: 0.9171, kb_relative_information_score: 12302.5098, 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: 0.1044, 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: 0.9834, f_measure: 0.9896, kappa: 0.9099, kb_relative_information_score: 12298.8696, mean_absolute_error: 0.0124, 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: 0.1069, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9903, kappa: 0.916, kb_relative_information_score: 12343.8061, mean_absolute_error: 0.0122, 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: 0.1059, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9893, kappa: 0.9077, kb_relative_information_score: 12081.9466, mean_absolute_error: 0.0136, 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: 0.1173, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9895, kappa: 0.9096, kb_relative_information_score: 12045.171, mean_absolute_error: 0.0137, 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: 0.1183, 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: 0.9835, f_measure: 0.9901, kappa: 0.9148, kb_relative_information_score: 12339.5295, mean_absolute_error: 0.0119, 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: 0.1033, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9901, kappa: 0.9136, kb_relative_information_score: 12665.2015, mean_absolute_error: 0.0098, 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: 0.0846, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9905, kappa: 0.9177, kb_relative_information_score: 12282.6468, mean_absolute_error: 0.0122, 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: 0.1054, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9895, kappa: 0.909, kb_relative_information_score: 12241.8588, mean_absolute_error: 0.0125, 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: 0.1082, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.3997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9895, kappa: 0.909, kb_relative_information_score: 12233.3503, mean_absolute_error: 0.0129, 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: 0.1116, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9891, kappa: 0.9055, kb_relative_information_score: 12151.1286, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9892, kappa: 0.9074, kb_relative_information_score: 12155.689, mean_absolute_error: 0.0133, 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: 0.1153, 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: 0.9678, f_measure: 0.9889, kappa: 0.9037, kb_relative_information_score: 12478.9836, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 0.3338, recall: 0.9889, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.99, kappa: 0.9134, kb_relative_information_score: 12330.454, mean_absolute_error: 0.0121, 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: 0.1047, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.3852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9901, kappa: 0.9147, kb_relative_information_score: 12362.4067, 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: 0.105, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.093, root_relative_squared_error: 0.3871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.99, kappa: 0.9136, kb_relative_information_score: 12622.9315, mean_absolute_error: 0.0099, 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: 0.086, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4147,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9895, kappa: 0.9088, kb_relative_information_score: 12403.6593, mean_absolute_error: 0.0119, 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: 0.1034, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.3891,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9888, kappa: 0.9028, kb_relative_information_score: 12380.7801, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 0.3338, recall: 0.9888, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9897, kappa: 0.911, kb_relative_information_score: 12172.4231, mean_absolute_error: 0.013, 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: 0.1122, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9889, kappa: 0.904, kb_relative_information_score: 12353.9369, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 0.3338, recall: 0.9889, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9888, kappa: 0.9031, kb_relative_information_score: 12362.3253, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 0.3338, recall: 0.9888, relative_absolute_error: 0.1004, 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: 0.9865, f_measure: 0.9897, kappa: 0.9106, kb_relative_information_score: 12311.1681, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9895, kappa: 0.9098, kb_relative_information_score: 12028.2279, mean_absolute_error: 0.0139, 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: 0.1201, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9901, kappa: 0.9139, kb_relative_information_score: 12170.0249, 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: 0.1093, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.3631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9888, kappa: 0.9035, kb_relative_information_score: 12317.8472, mean_absolute_error: 0.0117, 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: 0.1016, 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: 0.9868, f_measure: 0.9904, kappa: 0.9174, kb_relative_information_score: 12343.3765, 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: 0.1055, 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: 0.9873, f_measure: 0.9905, kappa: 0.9172, kb_relative_information_score: 12241.9608, mean_absolute_error: 0.0123, 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: 0.1062, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.3637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9898, kappa: 0.9127, kb_relative_information_score: 12039.4245, mean_absolute_error: 0.0139, 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: 0.12, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.093, root_relative_squared_error: 0.3869,

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