OpenML
7966549

Run 7966549

Task 14965 (Supervised Classification) bank-marketing Uploaded 17-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1516
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size2588
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.907922853459604
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
0.9058
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8467
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1198
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3195.1734
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1541
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
0.8683
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8882
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.8882
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7459
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2695
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8387
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1836.6622
UserCPU time millis
308.391
UserCPU time millis testing
14.376
UserCPU time millis training
294.015