Task
Supervised Classification on fri_c0_500_25

Supervised Classification on fri_c0_500_25

Task 3789 Supervised Classification fri_c0_500_25 554 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8179, kappa: 0.6356, kb_relative_information_score: 218.2903, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8183, predictive_accuracy: 0.818, prior_entropy: 0.9997, recall: 0.818, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 235.4648, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7631, kappa: 0.5268, kb_relative_information_score: 178.6853, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7664, predictive_accuracy: 0.764, prior_entropy: 0.9997, recall: 0.764, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.724, kappa: 0.4483, kb_relative_information_score: 223.8408, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7248, predictive_accuracy: 0.724, prior_entropy: 0.9997, recall: 0.724, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.0509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7354, kappa: 0.4709, kb_relative_information_score: 235.8477, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7371, predictive_accuracy: 0.736, prior_entropy: 0.9997, recall: 0.736, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0278, scimark_benchmark: 1280.301, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7939, kappa: 0.5877, kb_relative_information_score: 293.8809, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.794, predictive_accuracy: 0.794, prior_entropy: 0.9997, recall: 0.794, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9079, scimark_benchmark: 1280.301, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 1461.2356, usercpu_time_millis: 125, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.8, kappa: 0.5998, kb_relative_information_score: 299.8843, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9997, recall: 0.8, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8946, scimark_benchmark: 1461.2356, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7859, kappa: 0.5724, kb_relative_information_score: 245.6351, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7876, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8357, scimark_benchmark: 1787.9841, usercpu_time_millis: 2343.75, usercpu_time_millis_training: 2343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7859, kappa: 0.5724, kb_relative_information_score: 245.6351, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7876, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8357, scimark_benchmark: 1645.0836, usercpu_time_millis: 2690, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.8, kappa: 0.5998, kb_relative_information_score: 299.8843, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9997, recall: 0.8, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8946, scimark_benchmark: 1574.9091, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 1342.4233, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7354, kappa: 0.4709, kb_relative_information_score: 235.8477, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7371, predictive_accuracy: 0.736, prior_entropy: 0.9997, recall: 0.736, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0278, scimark_benchmark: 1378.2581, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7939, kappa: 0.5877, kb_relative_information_score: 293.8809, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.794, predictive_accuracy: 0.794, prior_entropy: 0.9997, recall: 0.794, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9079, scimark_benchmark: 1502.1428, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7918, kappa: 0.5845, kb_relative_information_score: 293.2718, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7942, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8886, scimark_benchmark: 1671.2677, usercpu_time_millis: 2375, usercpu_time_millis_training: 2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.788, kappa: 0.5757, kb_relative_information_score: 283.4656, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.788, predictive_accuracy: 0.788, prior_entropy: 0.9997, recall: 0.788, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8511, scimark_benchmark: 1422.9593, usercpu_time_millis: 2010, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7958, kappa: 0.5926, kb_relative_information_score: 291.224, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7987, predictive_accuracy: 0.796, prior_entropy: 0.9997, recall: 0.796, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8253, scimark_benchmark: 1060.9535, usercpu_time_millis: 343.75, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8179, kappa: 0.6356, kb_relative_information_score: 218.2903, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8183, predictive_accuracy: 0.818, prior_entropy: 0.9997, recall: 0.818, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7189, scimark_benchmark: 1296.9416, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7879, kappa: 0.5764, kb_relative_information_score: 251.5137, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7898, predictive_accuracy: 0.788, prior_entropy: 0.9997, recall: 0.788, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8245, scimark_benchmark: 1218.7133, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 246.9745, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7861, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7585, scimark_benchmark: 1265.9153, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.6056, kappa: 0.211, kb_relative_information_score: 105.4345, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6059, predictive_accuracy: 0.606, prior_entropy: 0.9997, recall: 0.606, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6263, root_relative_squared_error: 1.2529, scimark_benchmark: 1316.9385, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.838, kappa: 0.6759, kb_relative_information_score: 319.4047, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8381, predictive_accuracy: 0.838, prior_entropy: 0.9997, recall: 0.838, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6746, scimark_benchmark: 1018.3605, usercpu_time_millis: 530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.796, kappa: 0.5918, kb_relative_information_score: 249.3233, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 0.9997, recall: 0.796, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8116, scimark_benchmark: 679.9642, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.796, kappa: 0.5918, kb_relative_information_score: 295.882, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 0.9997, recall: 0.796, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9035, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7832, kappa: 0.5691, kb_relative_information_score: 283.8751, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7906, predictive_accuracy: 0.784, prior_entropy: 0.9997, recall: 0.784, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9297, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 219.1707, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7632, predictive_accuracy: 0.762, prior_entropy: 0.9997, recall: 0.762, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8506, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8437, kappa: 0.6874, kb_relative_information_score: 193.5312, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8456, predictive_accuracy: 0.844, prior_entropy: 0.9997, recall: 0.844, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7335, scimark_benchmark: 1925.3565, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8179, kappa: 0.6356, kb_relative_information_score: 218.2775, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8183, predictive_accuracy: 0.818, prior_entropy: 0.9997, recall: 0.818, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.719, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.762, kappa: 0.524, kb_relative_information_score: 260.4635, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7622, predictive_accuracy: 0.762, prior_entropy: 0.9997, recall: 0.762, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9425, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8179, kappa: 0.6356, kb_relative_information_score: 218.2903, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8183, predictive_accuracy: 0.818, prior_entropy: 0.9997, recall: 0.818, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7189, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.798, kappa: 0.5959, kb_relative_information_score: 297.8832, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 0.9997, recall: 0.798, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8991, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7832, kappa: 0.5691, kb_relative_information_score: 283.8751, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7906, predictive_accuracy: 0.784, prior_entropy: 0.9997, recall: 0.784, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9297, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7879, kappa: 0.5764, kb_relative_information_score: 251.5133, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7898, predictive_accuracy: 0.788, prior_entropy: 0.9997, recall: 0.788, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8245, scimark_benchmark: 1925.3565, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 246.9745, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7861, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7585, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.6056, kappa: 0.211, kb_relative_information_score: 105.4345, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6059, predictive_accuracy: 0.606, prior_entropy: 0.9997, recall: 0.606, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6263, root_relative_squared_error: 1.2529, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.838, kappa: 0.6759, kb_relative_information_score: 319.4047, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8381, predictive_accuracy: 0.838, prior_entropy: 0.9997, recall: 0.838, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6746, scimark_benchmark: 1892.0925, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7798, kappa: 0.5595, kb_relative_information_score: 238.0598, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7803, predictive_accuracy: 0.78, prior_entropy: 0.9997, recall: 0.78, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8458, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 219.1707, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7632, predictive_accuracy: 0.762, prior_entropy: 0.9997, recall: 0.762, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8506, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.762, kappa: 0.5237, kb_relative_information_score: 261.8625, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.762, predictive_accuracy: 0.762, prior_entropy: 0.9997, recall: 0.762, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8439, kappa: 0.6876, kb_relative_information_score: 231.1733, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8444, predictive_accuracy: 0.844, prior_entropy: 0.9997, recall: 0.844, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6876, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.784, kappa: 0.568, kb_relative_information_score: 269.3342, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7841, predictive_accuracy: 0.784, prior_entropy: 0.9997, recall: 0.784, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8772, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.76, kappa: 0.5201, kb_relative_information_score: 258.655, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 0.9997, recall: 0.76, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9467, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8499, kappa: 0.6997, kb_relative_information_score: 286.5364, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8502, predictive_accuracy: 0.85, prior_entropy: 0.9997, recall: 0.85, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6373, scimark_benchmark: 1806.5905, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8415, kappa: 0.6833, kb_relative_information_score: 193.355, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8446, predictive_accuracy: 0.842, prior_entropy: 0.9997, recall: 0.842, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7322, scimark_benchmark: 1806.5905, usercpu_time_millis: 140.4009, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 124.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.8179, kappa: 0.6357, kb_relative_information_score: 316.8784, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8181, predictive_accuracy: 0.818, prior_entropy: 0.9997, recall: 0.818, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8515, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.6056, kappa: 0.211, kb_relative_information_score: 105.4345, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6059, predictive_accuracy: 0.606, prior_entropy: 0.9997, recall: 0.606, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6263, root_relative_squared_error: 1.2529, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8439, kappa: 0.6876, kb_relative_information_score: 231.1733, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8444, predictive_accuracy: 0.844, prior_entropy: 0.9997, recall: 0.844, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6876, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8179, kappa: 0.6356, kb_relative_information_score: 218.2903, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8183, predictive_accuracy: 0.818, prior_entropy: 0.9997, recall: 0.818, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7189, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.3445, kb_relative_information_score: -0.0327, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.2601, predictive_accuracy: 0.51, prior_entropy: 0.9997, recall: 0.51, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.746, kappa: 0.4921, kb_relative_information_score: 245.8534, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7463, predictive_accuracy: 0.746, prior_entropy: 0.9997, recall: 0.746, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0082, usercpu_time_millis: 6.344, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 5.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.66, kappa: 0.3198, kb_relative_information_score: 159.8041, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6601, predictive_accuracy: 0.66, prior_entropy: 0.9997, recall: 0.66, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1664, usercpu_time_millis: 1.702, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, usercpu_time_millis: 1.226, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.794, kappa: 0.5878, kb_relative_information_score: 293.8809, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.794, predictive_accuracy: 0.794, prior_entropy: 0.9997, recall: 0.794, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9079, usercpu_time_millis: 1.115, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7739, kappa: 0.5476, kb_relative_information_score: 273.8694, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7741, predictive_accuracy: 0.774, prior_entropy: 0.9997, recall: 0.774, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.951, usercpu_time_millis: 0.477, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.5953, kappa: 0.1906, kb_relative_information_score: 95.7675, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.5959, predictive_accuracy: 0.596, prior_entropy: 0.9997, recall: 0.596, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2715, usercpu_time_millis: 0.475, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.768, kappa: 0.5359, kb_relative_information_score: 267.866, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7681, predictive_accuracy: 0.768, prior_entropy: 0.9997, recall: 0.768, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9635, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7857, kappa: 0.5714, kb_relative_information_score: 285.8763, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7866, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9254, usercpu_time_millis: 13.259, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 12.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7699, kappa: 0.5396, kb_relative_information_score: 269.8671, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.77, predictive_accuracy: 0.77, prior_entropy: 0.9997, recall: 0.77, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9594, usercpu_time_millis: 31.859, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 31.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 329.9015, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 0.9997, recall: 0.83, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8248, usercpu_time_millis: 31.616, usercpu_time_millis_testing: 3.878, usercpu_time_millis_training: 27.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8338, kappa: 0.6675, kb_relative_information_score: 333.9038, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.835, predictive_accuracy: 0.834, prior_entropy: 0.9997, recall: 0.834, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.815, usercpu_time_millis: 6.693, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 6.569,

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