OpenML
8285877

Run 8285877

Task 145833 (Supervised Classification) bank-marketing Uploaded 28-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees246
mlr.classif.ranger(13)_mtry1
mlr.classif.ranger(13)_min.node.size2
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.600051874294877
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9104
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8478
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1241
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3995.6574
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1708
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
0.883
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8901
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.8901
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8268
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2775
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8635
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1284.4234
UserCPU time millis
202.285
UserCPU time millis testing
12.961
UserCPU time millis training
189.324