Run
1867437

Run 1867437

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)_eta0.0127826890787466
mlr.classif.xgboost(4)_max_depth10
mlr.classif.xgboost(4)_min_child_weight36.6248140041717
mlr.classif.xgboost(4)_subsample0.362408491061069
mlr.classif.xgboost(4)_colsample_bytree0.396927440073341
mlr.classif.xgboost(4)_colsample_bylevel0.376836740877479
mlr.classif.xgboost(4)_lambda0.0435360469211827
mlr.classif.xgboost(4)_alpha0.477479096853745
mlr.classif.xgboost(4)_nrounds237
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
0.5026
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3963
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.827
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4943
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
1.0007
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)