OpenML
1860720

Run 1860720

Task 14965 (Supervised Classification) bank-marketing Uploaded 27-03-2017 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)_boostergblinear
mlr.classif.xgboost(4)_eta0.0164871617927332
mlr.classif.xgboost(4)_subsample0.970701165799983
mlr.classif.xgboost(4)_lambda0.0136958672863825
mlr.classif.xgboost(4)_alpha0.00390642419222916
mlr.classif.xgboost(4)_nrounds2335
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
0.87
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8667
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2644
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3784.9221
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1581
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2066
Cross-validation details (10-fold Crossvalidation)
Number of instances
45211
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.867
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8906
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.8906
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7651
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2827
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8794
Cross-validation details (10-fold Crossvalidation)