Task
Supervised Classification on chscase_health

Supervised Classification on chscase_health

Task 3805 Supervised Classification chscase_health 112 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6388, kappa: 0.2834, kb_relative_information_score: 9.8136, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.646, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.5741, kappa: 0.168, kb_relative_information_score: 10.7182, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5916, predictive_accuracy: 0.58, prior_entropy: 0.9989, recall: 0.58, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5528, root_relative_squared_error: 1.1064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5209, kappa: 0.065, kb_relative_information_score: 4.4145, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5383, predictive_accuracy: 0.54, prior_entropy: 0.9989, recall: 0.54, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.6601, kappa: 0.32, kb_relative_information_score: 8.5251, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6608, predictive_accuracy: 0.66, prior_entropy: 0.9989, recall: 0.66, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4583, f_measure: 0.4792, kappa: -0.0163, kb_relative_information_score: -0.9952, mean_absolute_error: 0.5088, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.4914, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.1118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.679, kappa: 0.3569, kb_relative_information_score: 10.0908, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6801, predictive_accuracy: 0.68, prior_entropy: 0.9989, recall: 0.68, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5705, f_measure: 0.5961, kappa: 0.1935, kb_relative_information_score: 5.7472, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.0622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6202, kappa: 0.24, kb_relative_information_score: 12.6275, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6208, predictive_accuracy: 0.62, prior_entropy: 0.9989, recall: 0.62, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5808, root_relative_squared_error: 1.1625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2999, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.6195, kappa: 0.2424, kb_relative_information_score: 8.3588, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6236, predictive_accuracy: 0.62, prior_entropy: 0.9989, recall: 0.62, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2406, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.5372, kappa: 0.0741, kb_relative_information_score: 5.6912, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5383, predictive_accuracy: 0.54, prior_entropy: 0.9989, recall: 0.54, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6769, kappa: 0.3651, kb_relative_information_score: 5.2341, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.694, predictive_accuracy: 0.68, prior_entropy: 0.9989, recall: 0.68, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.5987, kappa: 0.1961, kb_relative_information_score: 9.0908, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5994, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5376, root_relative_squared_error: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4479, f_measure: 0.3558, kb_relative_information_score: 0.2155, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5513, f_measure: 0.5209, kappa: 0.065, kb_relative_information_score: 0.5723, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5383, predictive_accuracy: 0.54, prior_entropy: 0.9989, recall: 0.54, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2929, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.485, kappa: 0.0196, kb_relative_information_score: -1.0105, mean_absolute_error: 0.5101, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5137, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2998, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6, kappa: 0.2013, kb_relative_information_score: 7.0968, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6019, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.6195, kappa: 0.2424, kb_relative_information_score: 8.5909, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6236, predictive_accuracy: 0.62, prior_entropy: 0.9989, recall: 0.62, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.5961, kappa: 0.1935, kb_relative_information_score: 4.7328, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.1458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.6388, kappa: 0.2834, kb_relative_information_score: 9.8264, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.646, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.64, kappa: 0.2812, kb_relative_information_score: 13.9188, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6421, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6, root_relative_squared_error: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.64, kappa: 0.2812, kb_relative_information_score: 13.9188, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6421, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6, root_relative_squared_error: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 1.8931, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.6601, kappa: 0.32, kb_relative_information_score: 8.6105, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6608, predictive_accuracy: 0.66, prior_entropy: 0.9989, recall: 0.66, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.5961, kappa: 0.1935, kb_relative_information_score: 4.7328, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.1458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.6, kappa: 0.2013, kb_relative_information_score: 9.9102, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6019, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.5514, kappa: 0.1297, kb_relative_information_score: 1.6865, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5728, predictive_accuracy: 0.56, prior_entropy: 0.9989, recall: 0.56, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6388, kappa: 0.2834, kb_relative_information_score: 9.6249, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.646, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.6195, kappa: 0.2424, kb_relative_information_score: 11.4191, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6236, predictive_accuracy: 0.62, prior_entropy: 0.9989, recall: 0.62, relative_absolute_error: 0.7727, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3718, f_measure: 0.3373, kappa: -0.0797, kb_relative_information_score: -0.6128, mean_absolute_error: 0.5036, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.26, predictive_accuracy: 0.48, prior_entropy: 0.9989, recall: 0.48, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.64, kappa: 0.2788, kb_relative_information_score: 9.0053, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5492, root_relative_squared_error: 1.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5795, kappa: 0.1573, kb_relative_information_score: 7.906, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5795, predictive_accuracy: 0.58, prior_entropy: 0.9989, recall: 0.58, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.5153, kappa: 0.0323, kb_relative_information_score: 1.8931, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5173, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3867, scimark_benchmark: 1280.301, usercpu_time_millis: 234046.875, usercpu_time_millis_training: 234046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5394, kappa: 0.077, kb_relative_information_score: 3.8974, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5393, predictive_accuracy: 0.54, prior_entropy: 0.9989, recall: 0.54, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3576, scimark_benchmark: 1280.301, usercpu_time_millis: 953.125, usercpu_time_millis_training: 953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.5601, kappa: 0.1803, kb_relative_information_score: 9.9102, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.635, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2659, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 1.8931, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3867, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.5775, kappa: 0.1653, kb_relative_information_score: 5.4023, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5867, predictive_accuracy: 0.58, prior_entropy: 0.9989, recall: 0.58, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1159, scimark_benchmark: 1787.9841, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.5775, kappa: 0.1653, kb_relative_information_score: 5.4023, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5867, predictive_accuracy: 0.58, prior_entropy: 0.9989, recall: 0.58, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1159, scimark_benchmark: 1630.9879, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 1.8931, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3867, scimark_benchmark: 1383.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.5601, kappa: 0.1803, kb_relative_information_score: 9.9102, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.635, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2659, scimark_benchmark: 1378.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.5153, kappa: 0.0323, kb_relative_information_score: 1.8931, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5173, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3867, scimark_benchmark: 1397.179, usercpu_time_millis: 2090, usercpu_time_millis_training: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.5961, kappa: 0.2063, kb_relative_information_score: 11.7765, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.61, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.0892, scimark_benchmark: 1671.2677, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5394, kappa: 0.077, kb_relative_information_score: 3.8974, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5393, predictive_accuracy: 0.54, prior_entropy: 0.9989, recall: 0.54, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3576, scimark_benchmark: 1606.3378, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.6177, kappa: 0.2448, kb_relative_information_score: 10.0475, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.628, predictive_accuracy: 0.62, prior_entropy: 0.9989, recall: 0.62, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0838, scimark_benchmark: 1369.9453, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.5741, kappa: 0.168, kb_relative_information_score: 10.3752, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5916, predictive_accuracy: 0.58, prior_entropy: 0.9989, recall: 0.58, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5428, root_relative_squared_error: 1.0865, scimark_benchmark: 1060.9535, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5433, f_measure: 0.5372, kappa: 0.0859, kb_relative_information_score: 3.8974, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5454, predictive_accuracy: 0.54, prior_entropy: 0.9989, recall: 0.54, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3576, usercpu_time_millis: 0.12, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.6601, kappa: 0.32, kb_relative_information_score: 15.9231, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6608, predictive_accuracy: 0.66, prior_entropy: 0.9989, recall: 0.66, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1671, usercpu_time_millis: 15.02, usercpu_time_millis_testing: 3.26, usercpu_time_millis_training: 11.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5795, kappa: 0.1573, kb_relative_information_score: 7.906, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5795, predictive_accuracy: 0.58, prior_entropy: 0.9989, recall: 0.58, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2972, usercpu_time_millis: 102.37, usercpu_time_millis_testing: 48.43, usercpu_time_millis_training: 53.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.5105, kappa: 0.0291, kb_relative_information_score: 1.8931, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5163, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3867, usercpu_time_millis: 25.84, usercpu_time_millis_testing: 4.7, usercpu_time_millis_training: 21.14,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6388, kappa: 0.2834, kb_relative_information_score: 9.5469, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.646, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9628, scimark_benchmark: 1356.0535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.5795, kappa: 0.1627, kb_relative_information_score: 5.5361, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5832, predictive_accuracy: 0.58, prior_entropy: 0.9989, recall: 0.58, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5529, root_relative_squared_error: 1.1068, scimark_benchmark: 1233.2372, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.68, kappa: 0.361, kb_relative_information_score: 13.6805, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6822, predictive_accuracy: 0.68, prior_entropy: 0.9989, recall: 0.68, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9965, scimark_benchmark: 1361.3765, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.64, kappa: 0.2812, kb_relative_information_score: 13.4839, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6421, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5875, root_relative_squared_error: 1.1759, scimark_benchmark: 1264.5777, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.5987, kappa: 0.1961, kb_relative_information_score: 11.3471, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5994, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5274, root_relative_squared_error: 1.0557, scimark_benchmark: 927.2469, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, f_measure: 0.4571, kappa: -0.0229, kb_relative_information_score: -0.7023, mean_absolute_error: 0.5074, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.4848, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0963, scimark_benchmark: 458.9696, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.6, kappa: 0.2013, kb_relative_information_score: 9.9102, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6019, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2659, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.5987, kappa: 0.2038, kb_relative_information_score: 9.9102, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6052, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2659, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.485, kappa: 0.0196, kb_relative_information_score: 3.2328, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5137, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.0473, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.64, kappa: 0.2812, kb_relative_information_score: 9.3037, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6421, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0607, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.6388, kappa: 0.2834, kb_relative_information_score: 9.7369, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.646, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9612, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.5961, kappa: 0.1935, kb_relative_information_score: 4.7328, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.1458, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6388, kappa: 0.2834, kb_relative_information_score: 9.5469, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.646, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9628, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.6, kappa: 0.2013, kb_relative_information_score: 9.9102, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6019, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2659, 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: 0.6026, f_measure: 0.5987, kappa: 0.2038, kb_relative_information_score: 9.9102, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6052, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2659, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.5795, kappa: 0.1627, kb_relative_information_score: 5.5361, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5832, predictive_accuracy: 0.58, prior_entropy: 0.9989, recall: 0.58, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5529, root_relative_squared_error: 1.1068, 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: 0.7155, f_measure: 0.68, kappa: 0.361, kb_relative_information_score: 13.6805, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6822, predictive_accuracy: 0.68, prior_entropy: 0.9989, recall: 0.68, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9965, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.64, kappa: 0.2812, kb_relative_information_score: 13.4839, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6421, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5875, root_relative_squared_error: 1.1759, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.5987, kappa: 0.1961, kb_relative_information_score: 11.3471, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5994, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5274, root_relative_squared_error: 1.0557, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, f_measure: 0.4571, kappa: -0.0229, kb_relative_information_score: -0.7023, mean_absolute_error: 0.5074, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.4848, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0963, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.485, kappa: 0.0196, kb_relative_information_score: 3.2328, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5137, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.0473, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.64, kappa: 0.2812, kb_relative_information_score: 9.3037, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6421, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0607, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.6388, kappa: 0.2834, kb_relative_information_score: 9.7369, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.646, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9612, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.5961, kappa: 0.1935, kb_relative_information_score: 4.7328, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.1458, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.68, kappa: 0.361, kb_relative_information_score: 13.6805, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6822, predictive_accuracy: 0.68, prior_entropy: 0.9989, recall: 0.68, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9965, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4583, f_measure: 0.4792, kappa: -0.0163, kb_relative_information_score: -0.9952, mean_absolute_error: 0.5088, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.4914, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.1118, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.6195, kappa: 0.2424, kb_relative_information_score: 11.3429, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6236, predictive_accuracy: 0.62, prior_entropy: 0.9989, recall: 0.62, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.0774, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.5513, kappa: 0.11, kb_relative_information_score: 7.6437, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5592, predictive_accuracy: 0.56, prior_entropy: 0.9989, recall: 0.56, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.0672, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.5513, kappa: 0.11, kb_relative_information_score: 7.6437, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5592, predictive_accuracy: 0.56, prior_entropy: 0.9989, recall: 0.56, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.0672, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.0359, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.012, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2999, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0045, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4423, f_measure: 0.4345, kappa: -0.129, kb_relative_information_score: -1.0545, mean_absolute_error: 0.5068, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.4347, predictive_accuracy: 0.44, prior_entropy: 0.9989, recall: 0.44, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.0229, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2999, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0045, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 1.8931, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3867, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.6, kappa: 0.2013, kb_relative_information_score: 9.9102, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6019, predictive_accuracy: 0.6, prior_entropy: 0.9989, recall: 0.6, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2659, scimark_benchmark: 1553.1472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 1.8931, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3867, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.6195, kappa: 0.2424, kb_relative_information_score: 11.9145, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.6236, predictive_accuracy: 0.62, prior_entropy: 0.9989, recall: 0.62, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2339, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2406, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.003, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6388, kappa: 0.2834, kb_relative_information_score: 9.6249, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.646, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9621, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2406, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.003, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6388, kappa: 0.2834, kb_relative_information_score: 9.8136, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.646, predictive_accuracy: 0.64, prior_entropy: 0.9989, recall: 0.64, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9605, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3942, kappa: -0.1905, kb_relative_information_score: -0.3935, mean_absolute_error: 0.5019, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 0.9989, recall: 0.4, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0049, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.5514, kappa: 0.1297, kb_relative_information_score: 1.6865, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.5728, predictive_accuracy: 0.56, prior_entropy: 0.9989, recall: 0.56, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9822, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2999, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0045, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2999, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0045, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4038, f_measure: 0.3558, kb_relative_information_score: -0.2998, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0045, scimark_benchmark: 1860.4354,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs