Run
1860702

Run 1860702

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)_eta0.762305270233998
mlr.classif.xgboost(4)_max_depth14
mlr.classif.xgboost(4)_min_child_weight1.31277897821849
mlr.classif.xgboost(4)_subsample0.383457016292959
mlr.classif.xgboost(4)_colsample_bytree0.909139777999371
mlr.classif.xgboost(4)_colsample_bylevel0.768566638696939
mlr.classif.xgboost(4)_lambda10.2312493258698
mlr.classif.xgboost(4)_alpha0.00145285320050045
mlr.classif.xgboost(4)_nrounds737
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
0.9054
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8929
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4632
Cross-validation details (10-fold Crossvalidation)
KB relative information score
14465.4991
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1079
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
0.8901
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.897
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.897
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5223
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2907
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9046
Cross-validation details (10-fold Crossvalidation)