A simple function to generate F-scores (Fisher scores) for ranking features
Usage
fscore(Data, classCol, featureCol)
Arguments
Data
(dataframe) Data dataframe
classCol
(numeric) column with different classes
featureCol
(numeric) all the columns that contain features
Value
named numeric f-scores
Details
The function implements F-score for feature selection.
F-score provides a measure of how well a single feature at a time can discriminate between different
classes. The higher the F-score, the better the discriminatory power of that feature