OpenML
1868328

Run 1868328

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)_alpha0.252637346275151
mlr.classif.glmnet(4)_s0.01
mlr.classif.glmnet(4)_lambda0.0210800880652955
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
0.907
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8786
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3335
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7914.273
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1522
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
0.8827
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8992
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.8992
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7367
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2702
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8406
Cross-validation details (10-fold Crossvalidation)