0
votes
1answer
24 views

How to use rfe object with function pickSizeTolerance in R package caret

I run caret's recursive feature selection with randomForest. While running rfe function with method repeatedcv, I had parameter ...
3
votes
1answer
151 views

Understanding the output of C5.0 classification model using the CARET package

The C5.0 classification model was used in this 4-class problem data with $N_{train}$=165, $P$=11, using caret R-package by ...
2
votes
1answer
119 views

How to interpret this cross-validated sparse LDA figure using CARET package?

Training data with $p$ =11 predictors and $n$ =165 with 4-class problem was cross-validated (5 times repeated 10-fold CV) using the sparse LDA (aka SDA) using caret ...
0
votes
0answers
91 views

Metric warning using caret's rfe

I am using the caret package to do feature selection with rfe while training a knn ...
0
votes
0answers
26 views

Recursive Feature Elimination Fails to Output as Expected

Currently I am using rfe function in the "caret" package to do feature selection. There are 380 variables as input candidates. I have done many trials and I noticed that something weird always ...
0
votes
1answer
245 views

Feature selection with Caret for data with more than one target

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 ...
1
vote
2answers
769 views

Feature selection using caret + repeatedcv

I am using caret and repeatedcv with repeats for feature selection. That is, ...
5
votes
1answer
686 views

Feature selection and parameter tuning with caret for random forest

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 ...
3
votes
1answer
1k views

R knn variable selection

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 ...