OpenML
1860752

Run 1860752

Task 14965 (Supervised Classification) bank-marketing 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)_eta0.00135439709880936
mlr.classif.xgboost(4)_max_depth5
mlr.classif.xgboost(4)_min_child_weight2.59055631743476
mlr.classif.xgboost(4)_subsample0.327389012346975
mlr.classif.xgboost(4)_colsample_bytree0.525221900083125
mlr.classif.xgboost(4)_colsample_bylevel0.923472900409251
mlr.classif.xgboost(4)_lambda24.06141163663
mlr.classif.xgboost(4)_alpha0.616572496224845
mlr.classif.xgboost(4)_nrounds4072
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
0.92
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8826
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3589
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7560.2499
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1469
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
0.8857
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9011
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.9011
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7111
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2599
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8085
Cross-validation details (10-fold Crossvalidation)