Run
1867462

Run 1867462

Task 125923 (Supervised Classification) Australian Uploaded 28-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.0057767837589395
mlr.classif.xgboost(4)_max_depth12
mlr.classif.xgboost(4)_min_child_weight30.9583961404184
mlr.classif.xgboost(4)_subsample0.363869315129705
mlr.classif.xgboost(4)_colsample_bytree0.300662155495957
mlr.classif.xgboost(4)_colsample_bylevel0.836264816112816
mlr.classif.xgboost(4)_lambda2.16339502035481
mlr.classif.xgboost(4)_alpha0.585704608148709
mlr.classif.xgboost(4)_nrounds4509
mlr.classif.xgboost(4)_verbose0
mlr.classif.xgboost(4)_openml.seed1
mlr.classif.xgboost(4)_openml.kindMersenne-Twister
mlr.classif.xgboost(4)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.8273
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3963
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20.4959
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4836
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3081
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.5551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.979
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4867
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9793
Cross-validation details (10-fold Crossvalidation)