OpenML
8652307

Run 8652307

Task 14965 (Supervised Classification) bank-marketing Uploaded 15-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees279
mlr.classif.ranger(16)_mtry3
mlr.classif.ranger(16)_min.node.size23377
mlr.classif.ranger(16)_sample.fraction0.670109998621047
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.8546
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8282
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2703.6003
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1944
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
0.7797
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.883
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.883
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9409
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3051
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9494
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1214.8059
UserCPU time millis
19.488
UserCPU time millis testing
1.527
UserCPU time millis training
17.961