Description Usage Arguments Value
View source: R/EvaluateNodeCandidateUsingRF.R
Classifier performance is measured as the average class error on OOB sample Since RF uses bagging to pick a sample to build each tree, each data point is unused in roughly 35 takes each point and measures the prediction accuracy on the trees it wasn't used to build.
1 2 | EvaluateNodeCandidateUsingRF(matLabeledDataForClassifier,
vPredictorFeaturesForClassifier, cPredictedFeature)
|
matLabeledDataForClassifier |
todo |
vPredictorFeaturesForClassifier |
todo |
cPredictedFeature |
todo |
todo
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.