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1029849 results

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: 474.526, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2426, scimark_benchmark: 1282.5293, usercpu_time_millis: 24.363, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 24.147,

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: 0.6123, f_measure: 0.5765, kb_relative_information_score: -157.0463, mean_absolute_error: 0.4528, 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: 1.0776, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.0153, scimark_benchmark: 1310.3697, usercpu_time_millis: 15.553, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 15.48,

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: 1281.3078, usercpu_time_millis: 11.802, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 11.739,

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: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 85.2892, mean_absolute_error: 0.439, 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: 0.8779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8954, scimark_benchmark: 1292.6762, usercpu_time_millis: 8.483, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 8.471,

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: 0.7874, f_measure: 0.7485, kappa: 0.3876, kb_relative_information_score: 246.4164, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7458, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8862, scimark_benchmark: 1319.211, usercpu_time_millis: 53.813, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 53.789,

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: 526.119, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.0963, scimark_benchmark: 1301.0764, usercpu_time_millis: 42.797, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 42.435,

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: 1275.0439, usercpu_time_millis: 20.398, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 20.269,

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: 0.7902, f_measure: 0.7341, kappa: 0.3432, kb_relative_information_score: 198.0169, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7365, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8824, scimark_benchmark: 1337.3062, usercpu_time_millis: 56.497, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 56.475,

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: 0.6986, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 146.3733, mean_absolute_error: 0.3831, 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: 0.7663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8471, scimark_benchmark: 1300.5426, usercpu_time_millis: 29.168, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 29.157,

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: 0.7749, f_measure: 0.6968, kappa: 0.2467, kb_relative_information_score: 162.3964, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7071, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8976, scimark_benchmark: 1322.0966, usercpu_time_millis: 17.721, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 17.695,

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: 0.7865, f_measure: 0.7208, kappa: 0.3072, kb_relative_information_score: 181.5205, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7302, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8874, scimark_benchmark: 1344.6989, usercpu_time_millis: 111.609, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 111.588,

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: 0.6993, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.3626, 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: 0.6899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8344, scimark_benchmark: 1297.0527, usercpu_time_millis: 7.583, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 7.572,

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: 0.7034, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 90.4816, mean_absolute_error: 0.4342, 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: 0.8684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8922, scimark_benchmark: 1297.6786, usercpu_time_millis: 12.13, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 12.12,

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: 0.705, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.33, mean_absolute_error: 0.3486, 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: 0.6973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8247, scimark_benchmark: 1289.8251, usercpu_time_millis: 27.239, usercpu_time_millis_testing: 0.015, 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 credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7506, kappa: 0.3902, kb_relative_information_score: 238.5933, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8808, scimark_benchmark: 1315.9628, usercpu_time_millis: 127.292, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 127.271,

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: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 142.4107, mean_absolute_error: 0.3886, 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: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8406, scimark_benchmark: 1301.4479, usercpu_time_millis: 19.87, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 19.859,

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: 0.7462, f_measure: 0.6537, kappa: 0.1447, kb_relative_information_score: 102.6969, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.683, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9242, scimark_benchmark: 1317.5656, usercpu_time_millis: 36.099, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 36.075,

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: -0.0114, 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: 1297.8459, usercpu_time_millis: 14.527, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 14.518,

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: 181.9645, mean_absolute_error: 0.3459, 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: 0.6917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8391, scimark_benchmark: 1280.9209, usercpu_time_millis: 2.54, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 2.529,

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: 0.7852, f_measure: 0.7512, kappa: 0.3904, kb_relative_information_score: 233.3816, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8875, scimark_benchmark: 1343.156, usercpu_time_millis: 93.783, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 93.762,

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: 1280.3732, usercpu_time_millis: 10.057, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 10.003,

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: 0.7455, kappa: 0.3806, kb_relative_information_score: 248.4308, 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: 0.4071, root_relative_squared_error: 0.8884, scimark_benchmark: 1335.6765, usercpu_time_millis: 20.859, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 20.836,

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: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0122, 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: 1288.7426, usercpu_time_millis: 19.944, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 19.845,

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: -0.0076, 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: 1299.4936, usercpu_time_millis: 6.182, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 6.172,

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: 183.0611, mean_absolute_error: 0.3445, 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: 0.689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8402, scimark_benchmark: 1276.338, usercpu_time_millis: 23.516, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 23.505,

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: 1328.0182, usercpu_time_millis: 87.648, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 87.341,

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: 182.731, mean_absolute_error: 0.3448, 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: 0.6896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.841, scimark_benchmark: 1274.2508, usercpu_time_millis: 27.089, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 27.078,

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: 1274.1249, usercpu_time_millis: 11.915, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 11.905,

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: 1303.2146, usercpu_time_millis: 47.077, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 46.831,

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: 0.7043, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.6933, mean_absolute_error: 0.3462, 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: 0.6923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.831, scimark_benchmark: 1288.5163, usercpu_time_millis: 28.71, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 28.699,

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: 182.2543, mean_absolute_error: 0.3455, 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: 0.691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8394, scimark_benchmark: 1300.328, usercpu_time_millis: 8.096, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 8.086,

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: 0.7104, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 11.7201, mean_absolute_error: 0.4926, 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: 0.9851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9854, scimark_benchmark: 1299.328, usercpu_time_millis: 12.894, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 12.881,

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: 1338.3933, usercpu_time_millis: 129.32, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 128.89,

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: 1277.1794, usercpu_time_millis: 30.677, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 30.469,

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: 0.4972, f_measure: 0.5, kb_relative_information_score: -0.0088, 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, scimark_benchmark: 1275.5784, usercpu_time_millis: 38.141, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 37.919,

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: 152.4882, mean_absolute_error: 0.3769, 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: 0.7539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8448, scimark_benchmark: 1276.1945, usercpu_time_millis: 26.994, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 26.983,

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: 1280.2567, usercpu_time_millis: 13.059, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 13.046,

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: 0.7849, f_measure: 0.6472, kappa: 0.1358, kb_relative_information_score: 112.0402, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7064, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.914, scimark_benchmark: 1349.5937, usercpu_time_millis: 5.52, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 5.497,

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: 1282.0137, usercpu_time_millis: 1.56, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 1.546,

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: 0.7842, f_measure: 0.7436, kappa: 0.3724, kb_relative_information_score: 244.1312, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7416, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8863, scimark_benchmark: 1333.6285, usercpu_time_millis: 92.675, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 92.049,

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: 0.4972, f_measure: 0.4696, kappa: 0.0036, kb_relative_information_score: -0.0541, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5024, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1299.2072, usercpu_time_millis: 1.152, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 1.138,

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: 0.676, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 149.694, mean_absolute_error: 0.3809, 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: 0.7618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8394, scimark_benchmark: 1304.8242, usercpu_time_millis: 2.205, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 2.193,

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: 1304.8064, usercpu_time_millis: 26.351, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 26.2,

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: 0.689, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 159.7294, mean_absolute_error: 0.3703, 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: 0.7405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8393, scimark_benchmark: 1316.1257, usercpu_time_millis: 2.804, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 2.773,

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: 0.7284, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 175.5377, mean_absolute_error: 0.3553, 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: 0.7105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8234, scimark_benchmark: 1302.4782, usercpu_time_millis: 3.143, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 3.133,

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: 0.7191, f_measure: 0.5765, kb_relative_information_score: 59.7471, mean_absolute_error: 0.393, 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: 0.9353, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9511, scimark_benchmark: 1332.1396, usercpu_time_millis: 65.742, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 65.433,

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: 0.6945, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.4053, 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: 0.6881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.841, scimark_benchmark: 1293.0668, usercpu_time_millis: 31.79, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 31.779,

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: 181.1039, mean_absolute_error: 0.3466, 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: 0.6931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.841, scimark_benchmark: 1301.8826, usercpu_time_millis: 24.184, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 24.171,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set Click_prediction_small

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3333.1364, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1268.9448, usercpu_time_millis: 485.509, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 485.437,

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: 0.7138, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 9.359, mean_absolute_error: 0.4941, 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: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9883, scimark_benchmark: 1270.5178, usercpu_time_millis: 28.593, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 28.582,

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: 1296.1414, usercpu_time_millis: 17.4, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 17.3,

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: 0.7467, kappa: 0.3838, kb_relative_information_score: 248.565, 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: 0.7375, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8884, scimark_benchmark: 1314.0051, usercpu_time_millis: 52.872, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 52.847,

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: 0.6943, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 180.0068, mean_absolute_error: 0.348, 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: 0.696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839, scimark_benchmark: 1296.6057, usercpu_time_millis: 1.219, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.19,

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: 0.4387, f_measure: 0.4579, kappa: -0.0827, kb_relative_information_score: -2.0437, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4584, predictive_accuracy: 0.4586, prior_entropy: 1, recall: 0.4586, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0028, scimark_benchmark: 1300.138, usercpu_time_millis: 8.077, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 8.026,

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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 455.1655, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.289, scimark_benchmark: 1302.6981, usercpu_time_millis: 40.106, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 39.742,

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: 0.7142, f_measure: 0.7064, kappa: 0.4424, kb_relative_information_score: 181.2241, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7773, predictive_accuracy: 0.7212, prior_entropy: 1, recall: 0.7212, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8478, scimark_benchmark: 1269.7266, usercpu_time_millis: 50.542, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 50.084,

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: 0.599, f_measure: 0.5921, kappa: 0.0269, kb_relative_information_score: 10.1394, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6775, predictive_accuracy: 0.703, prior_entropy: 0.8818, recall: 0.703, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9877, scimark_benchmark: 1317.2263, usercpu_time_millis: 31.918, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 31.79,

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: 1283.506, usercpu_time_millis: 3.059, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 3.033,

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: 29.5701, mean_absolute_error: 0.4807, 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: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.963, scimark_benchmark: 1295.7118, usercpu_time_millis: 20.121, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 20.112,

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: 0.9816, f_measure: 0.9323, kappa: 0.8613, kb_relative_information_score: 36523.5617, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9323, predictive_accuracy: 0.9323, prior_entropy: 0.9835, recall: 0.9323, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4546, scimark_benchmark: 1252.059, usercpu_time_millis: 5420.281, usercpu_time_millis_testing: 78.729, usercpu_time_millis_training: 5341.552,

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: 0.6053, f_measure: 0.6096, kappa: 0.0511, kb_relative_information_score: 14.4465, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6424, predictive_accuracy: 0.699, prior_entropy: 0.8818, recall: 0.699, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9883, scimark_benchmark: 1334.3023, usercpu_time_millis: 52.786, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 52.563,

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: 0.7639, f_measure: 0.6791, kappa: 0.2062, kb_relative_information_score: 128.1281, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.718, predictive_accuracy: 0.732, prior_entropy: 0.8818, recall: 0.732, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9131, scimark_benchmark: 1338.7237, usercpu_time_millis: 34.217, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 34.195,

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: 0.5539, f_measure: 0.6136, kappa: 0.0665, kb_relative_information_score: 17.1688, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.685, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9884, scimark_benchmark: 1334.2548, usercpu_time_millis: 38.25, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 38.227,

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: 61.7348, mean_absolute_error: 0.4575, 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: 0.9151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9232, scimark_benchmark: 1301.8425, usercpu_time_millis: 28.006, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 27.996,

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: -332.9603, mean_absolute_error: 0.4999, 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: 1.1897, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0908, scimark_benchmark: 1332.9021, usercpu_time_millis: 69.515, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 69.253,

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: 0.6982, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 150.0287, mean_absolute_error: 0.3795, 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: 0.7589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8458, scimark_benchmark: 1282.6065, usercpu_time_millis: 4.793, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.781,

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: 0.7108, f_measure: 0.7295, kappa: 0.4928, kb_relative_information_score: 7.2007, mean_absolute_error: 0.4955, 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: 0.9909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1275.9054, usercpu_time_millis: 6.333, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 6.321,

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: 0.7807, f_measure: 0.6967, kappa: 0.2469, kb_relative_information_score: 160.6252, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7195, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8958, scimark_benchmark: 1310.7992, usercpu_time_millis: 149.062, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 149.014,

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: 0.7315, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 0.9753, mean_absolute_error: 0.4994, 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: 0.9988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1275.8504, usercpu_time_millis: 35.679, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 35.483,

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: 0.6962, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 168.5921, mean_absolute_error: 0.3602, 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: 0.7204, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8406, scimark_benchmark: 1276.4177, usercpu_time_millis: 28.673, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 28.663,

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: 0.6942, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 180.5111, mean_absolute_error: 0.3478, 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: 0.6956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8354, scimark_benchmark: 1282.0619, usercpu_time_millis: 2.16, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.15,

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: 0.4388, f_measure: 0.4674, kappa: -0.0647, kb_relative_information_score: -2.2867, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4676, predictive_accuracy: 0.4676, prior_entropy: 1, recall: 0.4676, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0032, scimark_benchmark: 1301.3055, usercpu_time_millis: 54.756, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 54.468,

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: 1282.3917, usercpu_time_millis: 19.005, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 18.994,

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: -333.2073, mean_absolute_error: 0.4999, 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: 1.1899, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0909, scimark_benchmark: 1312.7025, usercpu_time_millis: 15.088, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 15.023,

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: 0.973, kappa: 0.946, kb_relative_information_score: 344.6044, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9744, predictive_accuracy: 0.973, prior_entropy: 1, recall: 0.973, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5146, scimark_benchmark: 1299.4923, usercpu_time_millis: 15.655, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 15.453,

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: 524.2769, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.0925, scimark_benchmark: 1276.1972, usercpu_time_millis: 26.155, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 25.849,

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: 0.4993, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0078, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, 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: 1.0001, scimark_benchmark: 1296.3049, usercpu_time_millis: 31.547, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 31.359,

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: 0.6193, f_measure: 0.5969, kappa: 0.031, kb_relative_information_score: 16.7328, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6434, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9803, scimark_benchmark: 1302.8732, usercpu_time_millis: 33.049, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 33.024,

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: 180.347, mean_absolute_error: 0.3474, 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: 0.6949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8407, scimark_benchmark: 1283.2897, usercpu_time_millis: 18.334, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 18.324,

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: 0.7262, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 101.5267, mean_absolute_error: 0.4256, 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: 0.8513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8778, scimark_benchmark: 1301.4876, usercpu_time_millis: 24.338, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 24.168,

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: 0.9528, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 194.4703, mean_absolute_error: 0.3415, 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: 0.6831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7808, scimark_benchmark: 1278.2259, usercpu_time_millis: 11.125, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 11.046,

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: 0.7674, f_measure: 0.6778, kappa: 0.202, kb_relative_information_score: 136.1211, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7106, predictive_accuracy: 0.729, prior_entropy: 0.8818, recall: 0.729, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.9097, scimark_benchmark: 1323.699, usercpu_time_millis: 62.224, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 62.199,

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: 1284.5223, usercpu_time_millis: 1.7, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 1.684,

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: 0.6288, f_measure: 0.6103, kappa: 0.0515, kb_relative_information_score: 31.7041, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6395, predictive_accuracy: 0.698, prior_entropy: 0.8818, recall: 0.698, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.978, scimark_benchmark: 1306.8916, usercpu_time_millis: 63.998, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 63.973,

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: 0.6978, f_measure: 0.5765, kb_relative_information_score: -208.6501, mean_absolute_error: 0.4652, 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: 1.1073, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0252, scimark_benchmark: 1328.5086, usercpu_time_millis: 20.886, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 20.776,

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: 0.7083, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 68.1211, mean_absolute_error: 0.4524, 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: 0.9048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9161, scimark_benchmark: 1298.157, usercpu_time_millis: 0.78, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.768,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set Internet-Advertisements

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9716, kappa: 0.8798, kb_relative_information_score: 2660.3727, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.4347, scimark_benchmark: 1238.8546, usercpu_time_millis: 9789.167, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 9788.243,

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: 1303.1045, usercpu_time_millis: 2.481, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 2.46,

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: 1313.6182, usercpu_time_millis: 22.987, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 22.878,

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: 176.9936, 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: 0.7026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8394, scimark_benchmark: 1283.0626, usercpu_time_millis: 20.626, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 20.615,

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: 0.7175, f_measure: 0.6611, kappa: 0.1647, kb_relative_information_score: 85.3006, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7044, predictive_accuracy: 0.723, prior_entropy: 0.8818, recall: 0.723, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9413, scimark_benchmark: 1332.0111, usercpu_time_millis: 99.606, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 99.583,

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: 183.3711, 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: 0.6881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8411, scimark_benchmark: 1275.5304, usercpu_time_millis: 10.553, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 10.541,

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: 0.739, f_measure: 0.5783, kappa: 0.0027, kb_relative_information_score: 65.4088, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6403, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9416, scimark_benchmark: 1331.1075, usercpu_time_millis: 118.218, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 117.776,

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: 183.3215, 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: 0.4206, root_relative_squared_error: 0.8412, scimark_benchmark: 1303.8203, usercpu_time_millis: 26.109, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 26.1,

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: 0.3828, mean_absolute_error: 0.42, 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: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1315.5332, usercpu_time_millis: 121.23, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 120.9,

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: 0.9427, f_measure: 0.7441, kappa: 0.518, kb_relative_information_score: 191.2014, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8374, predictive_accuracy: 0.759, prior_entropy: 1, recall: 0.759, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7737, scimark_benchmark: 1298.787, usercpu_time_millis: 5.425, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 5.356,

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: 0.4949, kb_relative_information_score: -0.0098, 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, scimark_benchmark: 1282.3145, usercpu_time_millis: 7.151, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 7.098,

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: 0.7573, kappa: 0.4084, kb_relative_information_score: 291.0384, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7551, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.9118, scimark_benchmark: 1326.5235, usercpu_time_millis: 251.587, usercpu_time_millis_testing: 1.251, usercpu_time_millis_training: 250.336,

OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set Click_prediction_small

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.7813, kappa: 0.111, kb_relative_information_score: -773.6418, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8042, predictive_accuracy: 0.8369, prior_entropy: 0.6541, recall: 0.8369, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.952, scimark_benchmark: 1290.3428, usercpu_time_millis: 4914.138, usercpu_time_millis_testing: 111.899, usercpu_time_millis_training: 4802.239,

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: 0.7107, f_measure: 0.7295, kappa: 0.4928, kb_relative_information_score: 26.7696, mean_absolute_error: 0.4825, 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: 0.9651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9666, scimark_benchmark: 1299.4527, usercpu_time_millis: 2.896, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.886,

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