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 cross-validation
Search options not deleted
user 182524
Repeatedly withholding subsets of the data during model fitting in order to quantify the model performance on the withheld data subsets.
1
vote
2
answers
291
views
Classification: Random Forest vs. Decision tree
Suppose you are given a dataset with 4 attributes (F1, F2, F3, and F4). The class label is contained in attribute F4.
Now you build a random forest classification model and you test its performance …
