Run
2434493

Run 2434493

Task 37 (Supervised Classification) diabetes Uploaded 23-06-2017 by Janek Thomas
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Flow

mlr.classif.randomForest(29)Learner mlr.classif.randomForest from package(s) randomForest.
mlr.classif.randomForest(29)_openml.seed1
mlr.classif.randomForest(29)_openml.kindMersenne-Twister
mlr.classif.randomForest(29)_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
0.7348
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7674
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4822
Cross-validation details (10-fold Crossvalidation)
KB relative information score
364.7429
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2292
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7664
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7708
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7708
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5042
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4787
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0043
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
3.52
UserCPU time millis testing
0.21
UserCPU time millis training
3.31