Run
8260439

Run 8260439

Task 145833 (Supervised Classification) bank-marketing Uploaded 26-10-2017 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.trees325
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size115
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.911894341465086
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
0.8978
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8316
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0215
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2308.2027
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1768
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
0.8764
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8842
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.8842
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8558
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2841
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8839
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1724.8423
UserCPU time millis
50.425
UserCPU time millis testing
3.332
UserCPU time millis training
47.093