Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with correlation
Search options not deleted
user 135014
A measure of the degree of linear association among a pair of variables.
0
votes
1
answer
1k
views
Dropping highly correlated features
For example I can see very high correlation between column 27 and 46. Should I remove one of them?
This is correlation heat map from my whole dataset. … Should I examine correlation and consider dropping columns in this way or should I make it only for train set and test set left without dropping any column? …
- 41