I am trying to do some feature selection, having around 3500 variables for about 200 samples. To each sample is associated two numerical values (the expected outcome). I can't manage to make the caret ...
I am using caret and repeatedcv with repeats for feature selection. That is, ...
I am planning to perform all-relevant feature selection using Boruta R-package. I was also happy to find a nice wrapper for doing this with a simultaneous mtry parameter adjustment implemented in ...
I have data with a few thousand features and I want to do recursive feature selection (RFE) to remove uninformative ones. I do this with caret and RFE. However, I started thinking, if I want to get ...
I have a data set that's 200k rows X 50 columns. I'm trying to use a knn model on it but there is huge variance in performance depending on which variables are ...