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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: 73.2522, 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: 1262.3516, usercpu_time_millis: 15.606, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 15.597,
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: 0.6941, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 171.0963, mean_absolute_error: 0.3582, 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: 0.7163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8354, scimark_benchmark: 1332.142, usercpu_time_millis: 30.306, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 30.296,
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: 0.5034, f_measure: 0.6591, kb_relative_information_score: -282.7688, mean_absolute_error: 0.4239, 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: 1.1676, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4416, root_relative_squared_error: 1.0369, scimark_benchmark: 1273.3643, usercpu_time_millis: 22.016, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 21.831,
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: 0.6882, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 67.7245, mean_absolute_error: 0.4537, 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: 0.9074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9187, scimark_benchmark: 1297.9101, usercpu_time_millis: 22.979, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 22.811,
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: 0.4946, f_measure: 0.3777, kappa: -0.0108, kb_relative_information_score: -0.0132, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4783, predictive_accuracy: 0.4946, prior_entropy: 1, recall: 0.4946, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1303.7156, usercpu_time_millis: 13.199, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 13.131,
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: 72.8901, mean_absolute_error: 0.3095, 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: 0.8525, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, scimark_benchmark: 1286.7432, usercpu_time_millis: 1.938, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 1.93,
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: 0.6877, f_measure: 0.6867, kappa: 0.0717, kb_relative_information_score: 21.4835, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7331, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.414, root_relative_squared_error: 0.9721, scimark_benchmark: 1273.3235, usercpu_time_millis: 9.919, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 9.91,
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: 0.7127, f_measure: 0.7173, kappa: 0.3173, kb_relative_information_score: 215.167, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7141, predictive_accuracy: 0.722, prior_entropy: 0.8818, recall: 0.722, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0022, scimark_benchmark: 1278.4695, usercpu_time_millis: 55.592, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 55.294,
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: 1302.5953, usercpu_time_millis: 16.714, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 16.705,
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: 0.9999, f_measure: 0.9676, kappa: 0.9353, kb_relative_information_score: 349.9042, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 1, recall: 0.9676, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5206, scimark_benchmark: 1333.0974, usercpu_time_millis: 36.191, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 35.874,
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: 0.4928, f_measure: 0.5765, kb_relative_information_score: -93.3493, mean_absolute_error: 0.4388, 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: 1.0445, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4617, root_relative_squared_error: 1.0075, scimark_benchmark: 1279.8311, usercpu_time_millis: 16.884, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 16.859,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9221, kappa: 0.8067, kb_relative_information_score: 21857.7356, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.9232, prior_entropy: 0.863, recall: 0.9232, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.5498, scimark_benchmark: 1254.3429, usercpu_time_millis: 2288.196, usercpu_time_millis_testing: 1.23, usercpu_time_millis_training: 2286.966,
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: 0.6953, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 177.3491, mean_absolute_error: 0.3513, 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: 0.7027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8351, scimark_benchmark: 1310.5864, usercpu_time_millis: 13.589, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 13.577,
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: 1335.1347, usercpu_time_millis: 28.608, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 28.44,
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: 1333.3, usercpu_time_millis: 13.912, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 13.902,
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: 1273.6477, usercpu_time_millis: 32.982, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 32.878,
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: 0.7409, f_measure: 0.666, kappa: 0.3138, kb_relative_information_score: 6817.6959, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6743, predictive_accuracy: 0.6766, prior_entropy: 0.9835, recall: 0.6766, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9151, scimark_benchmark: 1228.5705, usercpu_time_millis: 1439.354, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1439.261,
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: 0.6947, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.4471, mean_absolute_error: 0.344, 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: 0.6879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8413, scimark_benchmark: 1336.1437, usercpu_time_millis: 29.375, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 29.366,
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: 0.4975, f_measure: 0.4949, kb_relative_information_score: -0.0386, 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: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1332.8458, usercpu_time_millis: 11.003, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 10.948,
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: 0.7052, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 75.5206, mean_absolute_error: 0.4464, 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: 0.8929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9084, scimark_benchmark: 1335.4019, usercpu_time_millis: 32.104, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 32.094,
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: -0.0006, 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: 1299.1998, usercpu_time_millis: 0.316, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.305,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.7279, kappa: 0.3866, kb_relative_information_score: 508.6932, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7685, predictive_accuracy: 0.7563, prior_entropy: 0.9313, recall: 0.7563, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8292, scimark_benchmark: 1303.976, usercpu_time_millis: 40.871, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 40.849,
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: 0.7358, f_measure: 0.5765, kb_relative_information_score: 27.398, mean_absolute_error: 0.4081, 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: 0.9713, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9724, scimark_benchmark: 1303.2418, usercpu_time_millis: 87.524, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 87.045,
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: 0.9766, kappa: 0.9532, kb_relative_information_score: 317.5477, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5581, scimark_benchmark: 1325.3049, usercpu_time_millis: 21.014, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 20.863,
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: 0.741, f_measure: 0.6667, kappa: 0.1766, kb_relative_information_score: 110.9929, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7036, predictive_accuracy: 0.724, prior_entropy: 0.8818, recall: 0.724, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.9263, scimark_benchmark: 1287.3712, usercpu_time_millis: 104.319, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 104.291,
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: 0.6979, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 154.0999, mean_absolute_error: 0.3754, 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: 0.7507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.422, root_relative_squared_error: 0.844, scimark_benchmark: 1340.095, usercpu_time_millis: 12.581, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 12.572,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.798, kappa: 0.5466, kb_relative_information_score: 723.8869, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7997, predictive_accuracy: 0.8032, prior_entropy: 0.9313, recall: 0.8032, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7866, scimark_benchmark: 1322.6826, usercpu_time_millis: 78.123, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 77.587,
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: 0.5944, f_measure: 0.5765, kb_relative_information_score: -330.4787, mean_absolute_error: 0.4991, 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: 1.1879, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0891, scimark_benchmark: 1305.6276, usercpu_time_millis: 56.857, usercpu_time_millis_testing: -0.615, usercpu_time_millis_training: 57.472,
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: 0.7731, f_measure: 0.7006, kappa: 0.2566, kb_relative_information_score: 150.9272, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7264, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.9018, scimark_benchmark: 1295.835, usercpu_time_millis: 96.263, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 96.241,
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: 1313.0951, usercpu_time_millis: 12.271, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 12.262,
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: 0.9337, f_measure: 0.7527, kappa: 0.5324, kb_relative_information_score: 201.2306, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8407, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 1305.6217, usercpu_time_millis: 13.102, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 12.996,
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: 0.7004, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.4908, mean_absolute_error: 0.345, 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: 0.69, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.833, scimark_benchmark: 1312.4141, usercpu_time_millis: 9.455, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 9.447,
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: 0.7033, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 91.6856, mean_absolute_error: 0.4332, 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: 0.8664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.891, scimark_benchmark: 1336.8926, usercpu_time_millis: 13.041, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 13.031,
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: 0.7742, f_measure: 0.7385, kappa: 0.3637, kb_relative_information_score: 228.7158, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7354, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9012, scimark_benchmark: 1282.9579, usercpu_time_millis: 49.889, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 49.663,
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: 1325.3167, usercpu_time_millis: 0.522, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.511,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.5163, kb_relative_information_score: -23.5077, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9809, scimark_benchmark: 1321.9994, usercpu_time_millis: 3.839, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 3.822,
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: 0.4489, f_measure: 0.4478, kappa: -0.0971, kb_relative_information_score: -2.7487, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4501, predictive_accuracy: 0.4514, prior_entropy: 1, recall: 0.4514, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0046, scimark_benchmark: 1307.4775, usercpu_time_millis: 27.403, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 27.224,
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: 0.7082, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 66.8852, mean_absolute_error: 0.4533, 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: 0.9066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9181, scimark_benchmark: 1333.7444, usercpu_time_millis: 1.912, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 1.902,
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: 0.5664, f_measure: 0.6083, kappa: 0.0589, kb_relative_information_score: 8.3041, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7052, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9883, scimark_benchmark: 1306.091, usercpu_time_millis: 58.879, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 58.856,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.5163, kb_relative_information_score: -198.0365, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0561, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4813, root_relative_squared_error: 1.0114, scimark_benchmark: 1325.2656, usercpu_time_millis: 88.837, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 87.92,
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: 0.685, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 136.2218, mean_absolute_error: 0.3937, 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: 0.7874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8473, scimark_benchmark: 1337.1375, usercpu_time_millis: 14.609, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 14.6,
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: 0.7904, f_measure: 0.7499, kappa: 0.3878, kb_relative_information_score: 216.3832, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7482, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8822, scimark_benchmark: 1267.6304, usercpu_time_millis: 29.513, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 29.478,
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: 182.8985, mean_absolute_error: 0.3446, 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: 0.6892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8412, scimark_benchmark: 1308.5715, usercpu_time_millis: 2.828, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 2.816,
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: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 116.008, mean_absolute_error: 0.413, 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: 0.826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8631, scimark_benchmark: 1321.7433, usercpu_time_millis: 15.739, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 15.728,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.876, kappa: 0.7218, kb_relative_information_score: 666.1602, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8799, predictive_accuracy: 0.8789, prior_entropy: 0.9313, recall: 0.8789, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7444, scimark_benchmark: 1303.8042, usercpu_time_millis: 48.304, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 47.816,
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: 0.696, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 167.3147, mean_absolute_error: 0.3617, 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: 0.7234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8398, scimark_benchmark: 1317.8333, usercpu_time_millis: 14.544, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 14.534,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.7595, kappa: 0.4564, kb_relative_information_score: 559.7249, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7889, predictive_accuracy: 0.7795, prior_entropy: 0.9313, recall: 0.7795, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8104, scimark_benchmark: 1291.3761, usercpu_time_millis: 92.039, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 92.02,
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: 0.7582, f_measure: 0.5948, kappa: 0.0334, kb_relative_information_score: 87.8705, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7013, predictive_accuracy: 0.705, prior_entropy: 0.8818, recall: 0.705, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9305, scimark_benchmark: 1306.107, usercpu_time_millis: 131.065, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 130.268,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1522.6942, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.319, scimark_benchmark: 1301.7779, usercpu_time_millis: 47.85, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 47.828,
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: 0.748, f_measure: 0.7264, kappa: 0.332, kb_relative_information_score: 234.2333, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.723, predictive_accuracy: 0.736, prior_entropy: 0.8818, recall: 0.736, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.428, root_relative_squared_error: 0.934, scimark_benchmark: 1308.4909, usercpu_time_millis: 133.431, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 132.65,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.931, kappa: 0.8282, kb_relative_information_score: 22766.8846, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5122, scimark_benchmark: 1258.3184, usercpu_time_millis: 8451.213, usercpu_time_millis_testing: 14.687, usercpu_time_millis_training: 8436.526,
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: 0.694, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 179.6918, mean_absolute_error: 0.3483, 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: 0.6966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8395, scimark_benchmark: 1312.506, usercpu_time_millis: 8.263, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 8.253,
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: 478.332, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2147, scimark_benchmark: 1333.3363, usercpu_time_millis: 34.267, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 33.941,
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: 0.6957, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 174.9535, mean_absolute_error: 0.3533, 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: 0.7067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8404, scimark_benchmark: 1311.8131, usercpu_time_millis: 2.304, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 2.291,
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: 0.6951, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.6662, mean_absolute_error: 0.346, 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: 0.692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8406, scimark_benchmark: 1320.3793, usercpu_time_millis: 16.3, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 16.29,
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: 0.7869, f_measure: 0.7324, kappa: 0.3393, kb_relative_information_score: 200.5918, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7342, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.885, scimark_benchmark: 1276.4293, usercpu_time_millis: 53.941, usercpu_time_millis_testing: -0.349, usercpu_time_millis_training: 54.29,
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: 462.6737, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2539, scimark_benchmark: 1331.6359, usercpu_time_millis: 35.648, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 35.29,
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: 0.9979, f_measure: 0.9057, kappa: 0.813, kb_relative_information_score: 314.5502, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9212, predictive_accuracy: 0.9065, prior_entropy: 1, recall: 0.9065, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5943, scimark_benchmark: 1308.3373, usercpu_time_millis: 23.764, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 23.557,
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: 0.788, f_measure: 0.7325, kappa: 0.3373, kb_relative_information_score: 189.1096, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7388, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8851, scimark_benchmark: 1306.5153, usercpu_time_millis: 118.304, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 118.281,
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: 0.4971, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0085, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1323.8274, usercpu_time_millis: 21.585, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 21.46,
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: 1333.9303, usercpu_time_millis: 6.579, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 6.568,
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: 1334.6671, usercpu_time_millis: 21.006, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 20.998,
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: 1311.9309, usercpu_time_millis: 27.333, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 27.324,
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: 0.7263, f_measure: 0.6474, kappa: 0.134, kb_relative_information_score: 79.4119, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6945, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.939, scimark_benchmark: 1281.445, usercpu_time_millis: 71.589, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 71.563,
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: 0.4096, f_measure: 0.4355, kappa: -0.1259, kb_relative_information_score: -5.0024, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4364, predictive_accuracy: 0.4371, prior_entropy: 1, recall: 0.4371, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072, scimark_benchmark: 1324.2253, usercpu_time_millis: 29.173, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 28.984,
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: 0.7804, f_measure: 0.7282, kappa: 0.3297, kb_relative_information_score: 191.6237, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7285, predictive_accuracy: 0.745, prior_entropy: 0.8818, recall: 0.745, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8904, scimark_benchmark: 1308.9571, usercpu_time_millis: 42.986, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 42.961,
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: 0.7736, f_measure: 0.7276, kappa: 0.3251, kb_relative_information_score: 167.6748, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7338, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8985, scimark_benchmark: 1276.8201, usercpu_time_millis: 246.763, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 246.395,
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: 0.7255, f_measure: 0.7214, kappa: 0.3241, kb_relative_information_score: 248.789, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7178, predictive_accuracy: 0.728, prior_entropy: 0.8818, recall: 0.728, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9964, scimark_benchmark: 1275.7156, usercpu_time_millis: 246.942, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 245.763,
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: 0.9789, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 168.9166, mean_absolute_error: 0.3668, 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: 0.7336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8016, scimark_benchmark: 1323.1374, usercpu_time_millis: 38.446, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 38.142,
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: 498.7214, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.1738, scimark_benchmark: 1336.3646, usercpu_time_millis: 9.183, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 9.116,
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: 0.9999, f_measure: 0.924, kappa: 0.8489, kb_relative_information_score: 296.7955, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9344, predictive_accuracy: 0.9245, prior_entropy: 1, recall: 0.9245, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6003, scimark_benchmark: 1329.782, usercpu_time_millis: 33.564, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 33.314,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.6986, kappa: 0.322, kb_relative_information_score: 422.9714, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7395, predictive_accuracy: 0.7331, prior_entropy: 0.9313, recall: 0.7331, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.865, scimark_benchmark: 1319.4832, usercpu_time_millis: 100.586, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 100.564,
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: 0.6931, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 155.2239, mean_absolute_error: 0.3749, 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: 0.7498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.42, root_relative_squared_error: 0.84, scimark_benchmark: 1339.6516, usercpu_time_millis: 28.226, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 27.982,
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: 1305.3904, usercpu_time_millis: 13.416, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 13.353,
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: 0.6981, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 150.2777, mean_absolute_error: 0.3792, 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: 0.7584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8456, scimark_benchmark: 1342.1536, usercpu_time_millis: 16.349, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 16.34,
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: 0.7638, f_measure: 0.7022, kappa: 0.2601, kb_relative_information_score: 153.0454, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7159, predictive_accuracy: 0.736, prior_entropy: 0.8818, recall: 0.736, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.9052, scimark_benchmark: 1304.3363, usercpu_time_millis: 109.455, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 109.433,
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: 179.0292, mean_absolute_error: 0.3489, 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: 0.6978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8405, scimark_benchmark: 1298.6806, usercpu_time_millis: 7.81, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 7.799,
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: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 104.825, mean_absolute_error: 0.4228, 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: 0.8455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8742, scimark_benchmark: 1334.7623, usercpu_time_millis: 23.481, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 23.47,
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: 0.6949, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.9177, mean_absolute_error: 0.3446, 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: 0.6892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8408, scimark_benchmark: 1322.583, usercpu_time_millis: 12.647, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 12.637,
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: 0.6942, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.19, 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: 0.6887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8402, scimark_benchmark: 1327.4322, usercpu_time_millis: 18.141, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 18.13,
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: 1300.9927, usercpu_time_millis: 24.101, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 24.09,
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: 0.7681, f_measure: 0.6857, kappa: 0.2215, kb_relative_information_score: 133.3841, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7213, predictive_accuracy: 0.735, prior_entropy: 0.8818, recall: 0.735, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9096, scimark_benchmark: 1284.759, usercpu_time_millis: 107.802, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 107.768,
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: 0.7905, f_measure: 0.7067, kappa: 0.2713, kb_relative_information_score: 165.7367, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7217, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8911, scimark_benchmark: 1305.9688, usercpu_time_millis: 22.231, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 22.208,
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: 0.695, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.1851, mean_absolute_error: 0.3457, 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: 0.6914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8387, scimark_benchmark: 1296.7489, usercpu_time_millis: 20.478, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 20.468,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1909.0152, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0352, root_relative_squared_error: 0.074, scimark_benchmark: 1293.6266, usercpu_time_millis: 57.068, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 57.046,
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: 0.79, f_measure: 0.7551, kappa: 0.4016, kb_relative_information_score: 234.6178, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7532, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8812, scimark_benchmark: 1306.8719, usercpu_time_millis: 77.907, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 77.885,
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: 0.71, f_measure: 0.7278, kappa: 0.4892, kb_relative_information_score: 15.4236, mean_absolute_error: 0.4901, 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: 0.9803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9808, scimark_benchmark: 1313.327, usercpu_time_millis: 22.975, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 22.964,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.6749, kappa: 0.2687, kb_relative_information_score: 290.4874, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7073, predictive_accuracy: 0.712, prior_entropy: 0.9313, recall: 0.712, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9201, scimark_benchmark: 1326.1931, usercpu_time_millis: 125.306, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 125.284,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9685, kappa: 0.9302, kb_relative_information_score: -60.644, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.9313, recall: 0.9686, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9595, scimark_benchmark: 1293.934, usercpu_time_millis: 17.361, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 17.196,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1921.2221, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.0683, scimark_benchmark: 1301.3656, usercpu_time_millis: 111.04, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 111.019,
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: 0.6928, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.2955, mean_absolute_error: 0.3456, 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: 0.6912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8374, scimark_benchmark: 1312.5626, usercpu_time_millis: 8.684, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 8.675,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1756.9554, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.1633, scimark_benchmark: 1296.1946, usercpu_time_millis: 31.787, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 31.765,
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: 1320.8618, usercpu_time_millis: 9.408, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 9.355,
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: 0.7088, f_measure: 0.7278, kappa: 0.4892, kb_relative_information_score: 35.4569, mean_absolute_error: 0.4765, 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: 0.953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9559, scimark_benchmark: 1320.7033, usercpu_time_millis: 22.885, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 22.876,
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: 0.709, f_measure: 0.7295, kappa: 0.4928, kb_relative_information_score: 36.2336, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8285, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9549, scimark_benchmark: 1323.3106, usercpu_time_millis: 15.817, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 15.807,
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: 0.7854, f_measure: 0.7455, kappa: 0.3806, kb_relative_information_score: 248.5262, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7427, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8882, scimark_benchmark: 1298.2853, usercpu_time_millis: 131.236, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 131.214,
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: 1315.9553, usercpu_time_millis: 24.443, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 24.298,
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: 0.7875, f_measure: 0.7468, kappa: 0.3782, kb_relative_information_score: 250.5054, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7461, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8817, scimark_benchmark: 1275.3825, usercpu_time_millis: 286.944, usercpu_time_millis_testing: 1.825, usercpu_time_millis_training: 285.119,
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: 0.7727, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 97.8568, mean_absolute_error: 0.4292, 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: 0.8585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.441, root_relative_squared_error: 0.882, scimark_benchmark: 1319.0711, usercpu_time_millis: 17.11, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 16.969,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1776.1024, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1583, scimark_benchmark: 1292.486, usercpu_time_millis: 161.324, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 160.142,