Run
8634956

Run 8634956

Task 145833 (Supervised Classification) bank-marketing Uploaded 10-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees24
mlr.classif.ranger(15)_mtry1
mlr.classif.ranger(15)_min.node.size7862
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.611407762416638
mlr.classif.ranger(15)_respect.unordered.factorsTRUE
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.8699
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8282
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-249.6363
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1901
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
0.9203
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2993
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9311
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1456.8974
UserCPU time millis
7.34
UserCPU time millis testing
0.23
UserCPU time millis training
7.11