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
sendfile
cvs2git
adsense-anchor-ads
ashot
iphone11
blazor-component
kreya
logout
rapidclipse
google-translator-toolkit
selenium-shutterbug
checkboxlist
gcloud-cli
vscode-api
kube-proxy
pacemaker
mongodb-authentication
nsight
service-fabric-stateful
openconnect
rpy2
php-pest
videochat
git-interactive-rebase
directxmath
datagridviewcombobox
typed-racket
memoized-selectors
parquet-dataset
qsslsocket