Run
536679

Run 536679

Task 37 (Supervised Classification) diabetes Uploaded 14-03-2016 by Heidi Seibold
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Flow

classif.randomForest(50)Learner classif.randomForest from package(s) randomForest.
classif.randomForest(50)_ntree10
classif.randomForest(50)_seed1
classif.randomForest(50)_kindMersenne-Twister
classif.randomForest(50)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.7996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7541
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4479
Cross-validation details (10-fold Crossvalidation)
KB relative information score
236.3946
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.316
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
0.7571
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.763
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.763
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6953
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4135
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8674
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.63
UserCPU time millis testing
0.02
UserCPU time millis training
0.61