OpenML
8265800

Run 8265800

Task 14965 (Supervised Classification) bank-marketing Uploaded 27-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees187
mlr.classif.ranger(9)_mtry3
mlr.classif.ranger(9)_min.node.size136
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.143922331416979
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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.

21 Evaluation measures

Area under ROC curve
0.9151
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8641
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2315
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4321.0705
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1532
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
0.8823
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8956
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.8956
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7415
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.265
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8244
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1738.6549
UserCPU time millis
35.782
UserCPU time millis testing
1.664
UserCPU time millis training
34.118