I'm new to R and trying to isolate the best performing features from a data set of 247 columns (246 variables + 1 outcome), and 800 or so rows (where each row i
I am trying to understand where exactly SMOTE-ing should occur when training a model with cross-validation. I understand that all pre-processing steps should oc
I'm hoping the answer to this question is a quick "yes" or "no" but I cannot find it explicitly in the caret documentation or elsewhere online. I want to perfor
I applied machine learning algorithm with caret package (caretlist) to predict death in a cohort of patients according to multiple variables (e.g. age, gender,