OpenML
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 146800 Supervised Classification MiceProtein 9545 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8853, kappa: 0.8685, kb_relative_information_score: 0.6209, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2185, weighted_recall: 0.8852, number_of_instances: 1080, precision: 0.8896, predictive_accuracy: 0.8852, prior_entropy: 2.993, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.6547, unweighted_recall: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8988, kappa: 0.8845, kb_relative_information_score: 0.6099, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.2185, weighted_recall: 0.8991, number_of_instances: 1080, precision: 0.9013, predictive_accuracy: 0.8991, prior_entropy: 2.993, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.6677, unweighted_recall: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.8704, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3228, unweighted_recall: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9787, kappa: 0.9756, kb_relative_information_score: 0.9067, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9787, number_of_instances: 1080, precision: 0.9789, predictive_accuracy: 0.9787, prior_entropy: 2.993, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.2919, unweighted_recall: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9639, kappa: 0.9587, kb_relative_information_score: 0.9096, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9639, number_of_instances: 1080, precision: 0.9641, predictive_accuracy: 0.9639, prior_entropy: 2.993, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.2997, unweighted_recall: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.8763, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.3288, unweighted_recall: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 0.8934, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2185, weighted_recall: 0.988, number_of_instances: 1080, precision: 0.9882, predictive_accuracy: 0.988, prior_entropy: 2.993, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2976, unweighted_recall: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 0.8707, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9889, number_of_instances: 1080, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.993, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3294, unweighted_recall: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9843, kappa: 0.982, kb_relative_information_score: 0.8777, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9843, number_of_instances: 1080, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 2.993, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.3331, unweighted_recall: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.987, kappa: 0.9852, kb_relative_information_score: 0.7576, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2185, weighted_recall: 0.987, number_of_instances: 1080, precision: 0.9872, predictive_accuracy: 0.987, prior_entropy: 2.993, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.4837, unweighted_recall: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9871, kappa: 0.9852, kb_relative_information_score: 0.8931, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.2185, weighted_recall: 0.987, number_of_instances: 1080, precision: 0.9872, predictive_accuracy: 0.987, prior_entropy: 2.993, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.298, unweighted_recall: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9373, kappa: 0.9279, kb_relative_information_score: 0.6772, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2185, weighted_recall: 0.937, number_of_instances: 1080, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 2.993, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5953, unweighted_recall: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9871, kappa: 0.9852, kb_relative_information_score: 0.8674, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2185, weighted_recall: 0.987, number_of_instances: 1080, precision: 0.9872, predictive_accuracy: 0.987, prior_entropy: 2.993, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.344, unweighted_recall: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9908, kappa: 0.9894, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9907, number_of_instances: 1080, precision: 0.991, predictive_accuracy: 0.9907, prior_entropy: 2.993, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.2929, unweighted_recall: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.8754, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.3212, unweighted_recall: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9852, kappa: 0.983, kb_relative_information_score: 0.893, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9852, number_of_instances: 1080, precision: 0.9853, predictive_accuracy: 0.9852, prior_entropy: 2.993, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.299, unweighted_recall: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.8868, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.2922, unweighted_recall: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9518, kappa: 0.9449, kb_relative_information_score: 0.7168, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9521, predictive_accuracy: 0.9519, prior_entropy: 2.993, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.5524, unweighted_recall: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9833, kappa: 0.9809, kb_relative_information_score: 0.903, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9833, number_of_instances: 1080, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 2.993, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.2883, unweighted_recall: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.948, kappa: 0.9407, kb_relative_information_score: 0.702, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9481, number_of_instances: 1080, precision: 0.9483, predictive_accuracy: 0.9481, prior_entropy: 2.993, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5711, unweighted_recall: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.8874, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.2952, unweighted_recall: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.8683, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.99, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3373, unweighted_recall: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, kappa: 0.1548, kb_relative_information_score: 0.0513, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.2185, weighted_recall: 0.2722, number_of_instances: 1080, predictive_accuracy: 0.2722, prior_entropy: 2.993, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9847, unweighted_recall: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.8485, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.3564, unweighted_recall: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8947, kappa: 0.8792, kb_relative_information_score: 0.5737, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2185, weighted_recall: 0.8944, number_of_instances: 1080, precision: 0.8977, predictive_accuracy: 0.8944, prior_entropy: 2.993, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.6955, unweighted_recall: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9907, kappa: 0.9894, kb_relative_information_score: 0.8715, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9907, number_of_instances: 1080, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 2.993, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.3248, unweighted_recall: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.8899, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9954, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.2922, unweighted_recall: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.987, kappa: 0.9852, kb_relative_information_score: 0.7518, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2185, weighted_recall: 0.987, number_of_instances: 1080, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 2.993, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.491, unweighted_recall: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9852, kappa: 0.983, kb_relative_information_score: 0.872, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9852, number_of_instances: 1080, precision: 0.9853, predictive_accuracy: 0.9852, prior_entropy: 2.993, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3342, unweighted_recall: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9556, kappa: 0.9491, kb_relative_information_score: 0.9046, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9556, number_of_instances: 1080, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 2.993, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3183, unweighted_recall: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 0.8465, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9935, number_of_instances: 1080, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 2.993, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3549, unweighted_recall: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.8553, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9954, number_of_instances: 1080, precision: 0.9955, predictive_accuracy: 0.9954, prior_entropy: 2.993, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3378, unweighted_recall: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9741, kappa: 0.9703, kb_relative_information_score: 0.88, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9741, number_of_instances: 1080, precision: 0.9742, predictive_accuracy: 0.9741, prior_entropy: 2.993, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.3399, unweighted_recall: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9252, kappa: 0.9142, kb_relative_information_score: 0.6142, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2185, weighted_recall: 0.925, number_of_instances: 1080, precision: 0.9269, predictive_accuracy: 0.925, prior_entropy: 2.993, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.6577, unweighted_recall: 0.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.8788, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9917, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.993, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.107, root_relative_squared_error: 0.3238, unweighted_recall: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9815, kappa: 0.9788, kb_relative_information_score: 0.781, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9815, number_of_instances: 1080, precision: 0.9817, predictive_accuracy: 0.9815, prior_entropy: 2.993, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4614, unweighted_recall: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9815, kappa: 0.9788, kb_relative_information_score: 0.8234, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9815, number_of_instances: 1080, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 2.993, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.4091, unweighted_recall: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 0.9001, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9898, number_of_instances: 1080, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 2.993, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2783, unweighted_recall: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 0.8485, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9944, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.993, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.3564, unweighted_recall: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9408, kappa: 0.9322, kb_relative_information_score: 0.8274, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9407, number_of_instances: 1080, precision: 0.9414, predictive_accuracy: 0.9407, prior_entropy: 2.993, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4318, unweighted_recall: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 0.8218, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9824, number_of_instances: 1080, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 2.993, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.4076, unweighted_recall: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9926, kappa: 0.9915, kb_relative_information_score: 0.7968, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9926, number_of_instances: 1080, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 2.993, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4224, unweighted_recall: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9926, kappa: 0.9915, kb_relative_information_score: 0.8265, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9926, number_of_instances: 1080, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 2.993, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.3849, unweighted_recall: 0.9931,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 0.8966, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.2185, weighted_recall: 0.988, number_of_instances: 1080, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 2.993, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.2872, unweighted_recall: 0.9887,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, kappa: 0.3572, kb_relative_information_score: 0.0696, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2185, weighted_recall: 0.4444, number_of_instances: 1080, predictive_accuracy: 0.4444, prior_entropy: 2.993, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.9735, unweighted_recall: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9502, kappa: 0.9428, kb_relative_information_score: 0.9089, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2185, weighted_recall: 0.95, number_of_instances: 1080, precision: 0.9536, predictive_accuracy: 0.95, prior_entropy: 2.993, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.3253, unweighted_recall: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.6658, kappa: 0.6246, kb_relative_information_score: 0.4608, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.2185, weighted_recall: 0.6713, number_of_instances: 1080, precision: 0.6826, predictive_accuracy: 0.6713, prior_entropy: 2.993, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.8029, unweighted_recall: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8056, kappa: 0.7776, kb_relative_information_score: 0.7324, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2185, weighted_recall: 0.8056, number_of_instances: 1080, precision: 0.8088, predictive_accuracy: 0.8056, prior_entropy: 2.993, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.5994, unweighted_recall: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, kb_relative_information_score: 0.006, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, weighted_recall: 0.1389, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.993, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1, unweighted_recall: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8664, kappa: 0.8486, kb_relative_information_score: 0.8373, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2185, weighted_recall: 0.8676, number_of_instances: 1080, precision: 0.8666, predictive_accuracy: 0.8676, prior_entropy: 2.993, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.4546, unweighted_recall: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9739, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.1177, unweighted_recall: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9166, kappa: 0.9047, kb_relative_information_score: 0.8768, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9167, number_of_instances: 1080, precision: 0.9194, predictive_accuracy: 0.9167, prior_entropy: 2.993, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3913, unweighted_recall: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9954, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.041, root_relative_squared_error: 0.1241, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9855, kappa: 0.983, kb_relative_information_score: 0.9557, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9852, number_of_instances: 1080, precision: 0.9868, predictive_accuracy: 0.9852, prior_entropy: 2.993, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.1889, unweighted_recall: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9802, kappa: 0.9767, kb_relative_information_score: 0.942, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9796, number_of_instances: 1080, precision: 0.9822, predictive_accuracy: 0.9796, prior_entropy: 2.993, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.2289, unweighted_recall: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9954, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.041, root_relative_squared_error: 0.1241, unweighted_recall: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9793, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9972, number_of_instances: 1080, precision: 0.9973, predictive_accuracy: 0.9972, prior_entropy: 2.993, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0291, root_relative_squared_error: 0.088, unweighted_recall: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9107, kappa: 0.8918, kb_relative_information_score: 0.7824, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9056, number_of_instances: 1080, precision: 0.9265, predictive_accuracy: 0.9056, prior_entropy: 2.993, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4661, unweighted_recall: 0.9042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9785, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9972, number_of_instances: 1080, precision: 0.9973, predictive_accuracy: 0.9972, prior_entropy: 2.993, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0306, root_relative_squared_error: 0.0927, unweighted_recall: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.981, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9991, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.0732, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9767, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2185, weighted_recall: 0.9963, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0361, root_relative_squared_error: 0.1092, unweighted_recall: 0.9964,

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