Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update featureSelection.Rhtml #180

Closed
wants to merge 1 commit into from
Closed

Update featureSelection.Rhtml #180

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion html/featureSelection.Rhtml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -114,7 +114,7 @@ be placed into two main categories. Using the terminology of
predictors to find the optimal combination that maximizes model
performance. In essence, wrapper methods are search algorithms that treat
the predictors as the inputs and utilize model performance as the output to be optimized.
<strong>caret</strong> has wrapper methods based on <a href="rfe.html">recursive feature elimination</a>, <a href="ga.html">genetic algorithms</a>, and <a href="sa.html">simulated annealing</a>.
<strong>caret</strong> has wrapper methods based on <a href="rfe.html">recursive feature elimination</a>, <a href="GA.html">genetic algorithms</a>, and <a href="SA.html">simulated annealing</a>.
</li>
<li><i>Filter</i> methods
evaluate the relevance of the predictors outside of the predictive
Expand Down