How to interpret the output of caret::findCorrelation function? The output I received after applying findCorrelation function from the caret package is:
> print(highlyCorrelated)
[1]  1 12 13  5 10 19 25 24 15

So could I remove all of these features in supervised machine learning? How to interpret the result? Is it that column 1 and 12 are correlated, 13 and 5 are correlated? or some other way?

From findcorrelation help:
"This function searches through a correlation matrix and returns a vector of integers corresponding to columns to remove to reduce pair-wise correlations."
