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
associate
web-inf
standby
clojure-next.jdbc
dolibarr
collapsable
kinect.toolbox
terminal.app
ruby-watir
m2m
argument-dependent-lookup
squirrelmail
2-3-4-tree
scala-macros
tokenize
serverless-architecture
ffmpeg-python
msaa
datalength
jwt
errorprone
video-processing
ora-00947
feast
javax.xml
memoise
eventkit
top-command
unused-functions
android-bundle