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OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -333.4385, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.19, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911, scimark_benchmark: 1303.6601, usercpu_time_millis: 18.648, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 18.554,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.2682, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1286.1012, usercpu_time_millis: 1.536, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 1.527,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1336.9488, usercpu_time_millis: 36.354, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 36.168,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1296.3056, usercpu_time_millis: 40.878, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 40.662,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 85.9617, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.897, scimark_benchmark: 1324.5747, usercpu_time_millis: 24.543, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 24.534,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 48.0003, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.47, root_relative_squared_error: 0.94, scimark_benchmark: 1326.4979, usercpu_time_millis: 24.305, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 24.296,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9035, kappa: 0.8024, kb_relative_information_score: 33013.3204, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9035, predictive_accuracy: 0.9035, prior_entropy: 0.9835, recall: 0.9035, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5371, scimark_benchmark: 1241.0359, usercpu_time_millis: 2100.787, usercpu_time_millis_testing: 35.346, usercpu_time_millis_training: 2065.441,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: -354.7273, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.222, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.453, root_relative_squared_error: 1.0638, scimark_benchmark: 1289.342, usercpu_time_millis: 31.124, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 30.912,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.7254, kappa: 0.1829, kb_relative_information_score: 59.847, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7399, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9345, scimark_benchmark: 1288.234, usercpu_time_millis: 6.758, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 6.679,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.2662, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1280.3182, usercpu_time_millis: 8.49, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 8.482,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7006, kappa: 0.1101, kb_relative_information_score: 65.99, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7417, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9268, scimark_benchmark: 1269.3941, usercpu_time_millis: 14.486, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 14.48,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.6591, kb_relative_information_score: -162.8352, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4266, root_relative_squared_error: 1.0018, scimark_benchmark: 1291.345, usercpu_time_millis: 0.914, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.908,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -333.4385, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.19, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911, scimark_benchmark: 1282.2429, usercpu_time_millis: 74.937, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 74.669,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6591, kb_relative_information_score: -111.0932, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0548, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.9875, scimark_benchmark: 1295.3981, usercpu_time_millis: 1.009, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.004,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 6.8494, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1329.3115, usercpu_time_millis: 4.877, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 4.867,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7032, kappa: 0.1169, kb_relative_information_score: 70.6168, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7341, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.924, scimark_benchmark: 1278.5333, usercpu_time_millis: 2.479, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.469,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4052, kb_relative_information_score: -0.0107, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1308.0772, usercpu_time_millis: 9.19, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 9.14,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1332.2807, usercpu_time_millis: 10.509, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 10.449,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1332.0149, usercpu_time_millis: 12.741, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.73,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7041, kappa: 0.1197, kb_relative_information_score: 68.0478, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9235, scimark_benchmark: 1282.4217, usercpu_time_millis: 17.309, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 17.301,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.6591, kb_relative_information_score: -92.2975, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0508, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.9783, scimark_benchmark: 1262.3266, usercpu_time_millis: 2.161, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 2.137,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.1098, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, scimark_benchmark: 1280.7492, usercpu_time_millis: 14.728, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 14.722,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1300.7417, usercpu_time_millis: 27.043, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 27.032,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.7278, kappa: 0.4892, kb_relative_information_score: 16.3216, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8246, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1321.7932, usercpu_time_millis: 9.35, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 9.341,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7041, kappa: 0.1197, kb_relative_information_score: 70.6382, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9242, scimark_benchmark: 1288.3751, usercpu_time_millis: 9.986, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 9.978,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7502, kappa: 0.3913, kb_relative_information_score: 246.4425, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7477, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8859, scimark_benchmark: 1286.2862, usercpu_time_millis: 60.54, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 60.516,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.5147, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8413, scimark_benchmark: 1333.6287, usercpu_time_millis: 10.046, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 10.036,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1326.5607, usercpu_time_millis: 22.196, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 22.185,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7149, kappa: 0.2917, kb_relative_information_score: 134.8283, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7319, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8998, scimark_benchmark: 1294.3278, usercpu_time_millis: 731.082, usercpu_time_millis_testing: 2.698, usercpu_time_millis_training: 728.384,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7495, kappa: 0.3865, kb_relative_information_score: 235.9795, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.748, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8863, scimark_benchmark: 1276.6672, usercpu_time_millis: 62.702, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 62.677,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.6936, kappa: 0.0893, kb_relative_information_score: 54.9299, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.722, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9285, scimark_benchmark: 1294.4944, usercpu_time_millis: 29.402, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 29.027,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.2245, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, scimark_benchmark: 1270.2354, usercpu_time_millis: 9.033, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 9.026,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.7333, kappa: 0.5, kb_relative_information_score: 220.4692, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8333, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7518, scimark_benchmark: 1333.7771, usercpu_time_millis: 31.778, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 31.561,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 85.0147, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.8992, scimark_benchmark: 1299.5748, usercpu_time_millis: 30.003, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 29.847,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.4204, kb_relative_information_score: 557.6915, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9911, scimark_benchmark: 1259.1404, usercpu_time_millis: 1084.591, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1084.488,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.5765, kb_relative_information_score: -148.5502, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0728, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4611, root_relative_squared_error: 1.0063, scimark_benchmark: 1300.8626, usercpu_time_millis: 76.606, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 76.34,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.902, kappa: 0.8058, kb_relative_information_score: 277.0038, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9187, predictive_accuracy: 0.9029, prior_entropy: 1, recall: 0.9029, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6347, scimark_benchmark: 1336.9995, usercpu_time_millis: 28.057, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 27.784,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 72.3561, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9229, scimark_benchmark: 1281.2217, usercpu_time_millis: 14.455, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 14.449,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6591, kb_relative_information_score: -392.2629, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.2526, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0806, scimark_benchmark: 1284.502, usercpu_time_millis: 30.536, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 30.16,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7368, kappa: 0.3522, kb_relative_information_score: 201.8978, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7363, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.891, scimark_benchmark: 1277.8039, usercpu_time_millis: 96.561, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 95.95,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.2036, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.42, root_relative_squared_error: 0.84, scimark_benchmark: 1311.3583, usercpu_time_millis: 29.295, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 29.285,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -274.1771, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.1488, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0569, scimark_benchmark: 1282.5241, usercpu_time_millis: 30.825, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 30.724,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.6027, kappa: 0.0424, kb_relative_information_score: 19.5076, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6555, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9857, scimark_benchmark: 1278.1971, usercpu_time_millis: 118.194, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 118.163,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6591, kb_relative_information_score: -57.5698, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0252, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.9695, scimark_benchmark: 1268.6018, usercpu_time_millis: 20.37, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 20.049,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.015, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1314.7302, usercpu_time_millis: 18.433, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 18.332,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7041, kappa: 0.1197, kb_relative_information_score: 68.8733, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9235, scimark_benchmark: 1271.2147, usercpu_time_millis: 18.289, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 18.282,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6591, kb_relative_information_score: 40.3639, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.939, scimark_benchmark: 1272.5002, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.829,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.6956, kappa: 0.0986, kb_relative_information_score: 42.2903, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7836, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.9302, scimark_benchmark: 1288.4923, usercpu_time_millis: 2.427, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 2.419,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 469.5636, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2493, scimark_benchmark: 1332.4982, usercpu_time_millis: 5.789, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 5.739,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 132.8645, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8553, scimark_benchmark: 1321.9341, usercpu_time_millis: 7.224, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 7.213,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.5765, kb_relative_information_score: -96.5046, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0449, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9867, scimark_benchmark: 1303.9963, usercpu_time_millis: 281.66, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 280.718,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7178, kappa: 0.3011, kb_relative_information_score: 182.9845, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7211, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 1277.5497, usercpu_time_millis: 144.133, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 144.109,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 164.5771, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8378, scimark_benchmark: 1303.6627, usercpu_time_millis: 13.326, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 13.318,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7467, kappa: 0.3838, kb_relative_information_score: 248.4681, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.744, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.888, scimark_benchmark: 1304.7203, usercpu_time_millis: 52.314, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 52.271,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.3707, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8406, scimark_benchmark: 1307.2492, usercpu_time_millis: 20.963, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 20.952,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.5765, kb_relative_information_score: -140.7057, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0687, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4608, root_relative_squared_error: 1.0056, scimark_benchmark: 1301.104, usercpu_time_millis: 78.855, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 78.569,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.6117, kappa: 0.0539, kb_relative_information_score: 31.7229, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6401, predictive_accuracy: 0.698, prior_entropy: 0.8818, recall: 0.698, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9788, scimark_benchmark: 1309.6641, usercpu_time_millis: 76.591, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 76.568,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.2335, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1268.6535, usercpu_time_millis: 6.458, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 6.449,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.703, kappa: 0.2631, kb_relative_information_score: 163.2584, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7076, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.9007, scimark_benchmark: 1294.8491, usercpu_time_millis: 58.828, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 58.526,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.2103, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1284.5035, usercpu_time_millis: 9.23, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 9.222,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.7278, kappa: 0.4892, kb_relative_information_score: 18.366, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8246, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9771, scimark_benchmark: 1323.2653, usercpu_time_millis: 2.288, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 2.276,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.7278, kappa: 0.4892, kb_relative_information_score: 19.8942, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8246, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9752, scimark_benchmark: 1317.178, usercpu_time_millis: 16.159, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 16.134,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.2877, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1270.4365, usercpu_time_millis: 15.014, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 15.008,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6702, kappa: 0.0284, kb_relative_information_score: -28.219, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.742, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.416, root_relative_squared_error: 0.9769, scimark_benchmark: 1263.7586, usercpu_time_millis: 11.941, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 11.935,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.2292, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.841, scimark_benchmark: 1296.3318, usercpu_time_millis: 3.894, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.883,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1299.5773, usercpu_time_millis: 30.701, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 30.514,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1323.4321, usercpu_time_millis: 35.627, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 35.389,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1310.9373, usercpu_time_millis: 16.878, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 16.868,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1293.6739, usercpu_time_millis: 38.5, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 38.266,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.7041, kappa: 0.1197, kb_relative_information_score: 69.7205, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9241, scimark_benchmark: 1293.4365, usercpu_time_millis: 15.961, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 15.955,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7023, kappa: 0.1142, kb_relative_information_score: 69.8938, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7296, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.923, scimark_benchmark: 1293.4516, usercpu_time_millis: 10.649, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 10.644,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.7465, kappa: 0.2546, kb_relative_information_score: 91.4438, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7448, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9378, scimark_benchmark: 1264.448, usercpu_time_millis: 27.51, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 27.136,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 504.8192, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.1378, scimark_benchmark: 1333.304, usercpu_time_millis: 42.243, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 41.988,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -34.7074, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0156, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0007, scimark_benchmark: 1304.0004, usercpu_time_millis: 132.307, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 131.92,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.7548, kappa: 0.536, kb_relative_information_score: 232.5007, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8415, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7027, scimark_benchmark: 1308.0227, usercpu_time_millis: 19.622, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 19.48,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7337, kappa: 0.3427, kb_relative_information_score: 203.0678, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7354, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8846, scimark_benchmark: 1304.0226, usercpu_time_millis: 307.293, usercpu_time_millis_testing: 1.957, usercpu_time_millis_training: 305.336,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7215, kappa: 0.4712, kb_relative_information_score: 189.0671, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7953, predictive_accuracy: 0.7356, prior_entropy: 1, recall: 0.7356, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8355, scimark_benchmark: 1297.3334, usercpu_time_millis: 23.341, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 23.173,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1314.9661, usercpu_time_millis: 9.926, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 9.878,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.6956, kappa: 0.0986, kb_relative_information_score: 45.0092, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7836, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9294, scimark_benchmark: 1283.6579, usercpu_time_millis: 1.582, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.554,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.6591, kb_relative_information_score: -310.9941, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.1911, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4459, root_relative_squared_error: 1.0471, scimark_benchmark: 1292.5027, usercpu_time_millis: 0.567, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.56,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7032, kappa: 0.1169, kb_relative_information_score: 69.1396, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7341, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9232, scimark_benchmark: 1285.7128, usercpu_time_millis: 9.891, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 9.885,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7032, kappa: 0.1169, kb_relative_information_score: 69.3759, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7341, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9231, scimark_benchmark: 1295.8567, usercpu_time_millis: 4.848, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 4.84,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.6931, kappa: 0.0902, kb_relative_information_score: 53.9109, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7524, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9334, scimark_benchmark: 1285.1244, usercpu_time_millis: 10.215, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 10.208,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7481, kappa: 0.3839, kb_relative_information_score: 237.6756, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7462, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8829, scimark_benchmark: 1305.526, usercpu_time_millis: 43.255, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 43.231,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.7032, kappa: 0.1169, kb_relative_information_score: 70.5738, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7341, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.923, scimark_benchmark: 1287.7598, usercpu_time_millis: 16.438, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 16.43,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 168.2221, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8385, scimark_benchmark: 1332.6761, usercpu_time_millis: 17.317, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 17.306,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1330.0964, usercpu_time_millis: 43.116, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 42.869,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.6995, kappa: 0.1087, kb_relative_information_score: 59.2831, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7699, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9257, scimark_benchmark: 1271.9553, usercpu_time_millis: 16.344, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 16.335,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 75.7912, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9058, scimark_benchmark: 1333.4773, usercpu_time_millis: 4.754, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 4.709,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6851, kappa: 0.2191, kb_relative_information_score: 138.4954, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.714, predictive_accuracy: 0.732, prior_entropy: 0.8818, recall: 0.732, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.9069, scimark_benchmark: 1277.6259, usercpu_time_millis: 107.5, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 107.462,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1307.9557, usercpu_time_millis: 16.164, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 16.075,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7406, kappa: 0.3687, kb_relative_information_score: 297.0932, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7375, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9309, scimark_benchmark: 1278.508, usercpu_time_millis: 16.253, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 16.152,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.285, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8413, scimark_benchmark: 1326.0559, usercpu_time_millis: 19.044, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 19.035,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.6976, kappa: 0.1037, kb_relative_information_score: 54.2657, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7759, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.927, scimark_benchmark: 1274.5238, usercpu_time_millis: 2.709, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 2.7,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7041, kappa: 0.1197, kb_relative_information_score: 69.5103, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9249, scimark_benchmark: 1288.6707, usercpu_time_millis: 5.894, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 5.887,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4952, kb_relative_information_score: -0.1083, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013, scimark_benchmark: 1332.1012, usercpu_time_millis: 34.575, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 34.263,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.2661, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1267.7248, usercpu_time_millis: 10.859, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 10.854,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1331.3094, usercpu_time_millis: 23.391, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 23.254,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.6739, kappa: 0.0394, kb_relative_information_score: 9.5292, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7827, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.9492, scimark_benchmark: 1289.5781, usercpu_time_millis: 5.175, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 5.17,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.7374, kappa: 0.2482, kb_relative_information_score: 72.2701, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7301, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4388, root_relative_squared_error: 1.0304, scimark_benchmark: 1304.1929, usercpu_time_millis: 43.065, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 42.481,