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
performance
sdl
forfiles
fbi
go-zap
dry-types
scalafix
binary-emulation
relaycommand
jade4j
managed-directx
static-initialization
facebook-access-token
gfsh
ruby-2.7
ini-set
sql-server-2008-r2
worldtimeapi
fault-tolerant-heap
revit
http-redirect
xml-binding
speex
bit.dev
jcabi
nested-object
polymer-cli
konva
aws-transcribe
apt