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 r
Search options not deleted
user 233731
Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
2
votes
What are weights in a binary glm and how to calculate them?
weights are not calculated endogenously. It depends from the nature of your data, and the specific problem you are working at.
If your data don't provide any particularly good reason to specify a set …
- 241
2
votes
How to evaluate neural network regression model
There are multiple loss functions you can use:
MSE, aka Mean Squared Error: take all the errors, square them, and find the mean.
RMSE, aka Root Mean Squared Error: Squared root of MSE.
SSE, aka Sum …
- 241