OpenML
1868339

Run 1868339

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.glmnet(4)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(4)_alpha0.753159303683788
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.0277012782813337
mlr.classif.glmnet(4)_openml.seed1
mlr.classif.glmnet(4)_openml.kindMersenne-Twister
mlr.classif.glmnet(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
0.8937
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8689
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2668
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6535.0149
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1628
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
0.8781
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8957
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.8957
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7882
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.277
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8619
Cross-validation details (10-fold Crossvalidation)