Posts Tagged ‘ categorical variables ’

Encoding categorical variables: one-hot and beyond

April 15, 2017
By
Encoding categorical variables: one-hot and beyond

(or: how to correctly use xgboost from R) R has "one-hot" encoding hidden in most of its modeling paths. Asking an R user where one-hot encoding is used is like asking a fish where there is water; they can’t point to it as it is everywhere. For example we can see evidence of one-hot encoding … Continue reading Encoding categorical variables: one-hot and beyond

Read more »

Level fit summaries can be tricky in R

October 1, 2012
By
Level fit summaries can be tricky in R

Model level fit summaries can be tricky in R. A quick read of model fit summary data for factor levels can be misleading. We describe the issue and demonstrate techniques for dealing with them.When modeling you often encounter what are commonly called categorical variables, which are called factors in R. Possible values of categorical variables [...] Related posts: Modeling Trick: Impact Coding of Categorical Variables with Many Levels Learn Logistic…

Read more »


Subscribe

Email:

  Subscribe