Run
571679

Run 571679

Task 29 (Supervised Classification) credit-approval Uploaded 05-05-2016 by Rafael Gomes Mantovani
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Flow

classif.randomForest(57)Learner classif.randomForest from package(s) randomForest.
classif.randomForest(57)_openml.seed1
classif.randomForest(57)_openml.kindMersenne-Twister
classif.randomForest(57)_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.

20 Evaluation measures

Area under ROC curve
0.8729
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8752
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7472
Cross-validation details (10-fold Crossvalidation)
KB relative information score
514.9331
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1246
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8752
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8754
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8754
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2523
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.353
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7104
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
6.56
UserCPU time millis testing
0.133
UserCPU time millis training
6.427