Hey, one easy way to decide features is to use a correlation matrix. The stronger the correlation coefficient r is, the more of a linear relationship exists. T

Hey, one easy way to decide features is to use a correlation matrix. The stronger the correlation coefficient r is, the more of a linear relationship exists. The code goes like this - install.packages('corrplot') library(corrplot) mcor <- cor(crime) # if crime is your dataframe corrplot(mcor) That's one easy way to start out. Perhaps I'll write a post on feature engineering.