Run
8289060

Run 8289060

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.trees550
mlr.classif.ranger(13)_mtry15
mlr.classif.ranger(13)_min.node.size9
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.312616701354273
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
0.9308
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9019
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5002
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9718.4698
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1277
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
0.8991
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9074
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.9074
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6183
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2507
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.78
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1296.8942
UserCPU time millis
1686.705
UserCPU time millis testing
43.287
UserCPU time millis training
1643.418