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 accuracy
Search options not deleted
user 73547
Accuracy of an estimator is the degree of closeness of the estimates to the true value. For a classifier, accuracy is the proportion of correct classifications. (This second usage is not good practice. See the tag wiki for a link to further information.)
2
votes
How to compute F-measure and accuracy for repeated cross-validation
For accuracy, should we sum the accuracy for each of the N x K runs and simply take their average for the overall estimate?
Also Yes! Good approach. …
- 774
2
votes
Variance of classification accuracy?
Yes! That is very sensible and common procedure. It is often referred to as Repeated cross-validation in literature. Some reference if you can by-pass the paywall is here : Estimating classification e …
- 774
2
votes
Is cross validation a tool for developing performance metrics or final models?
Is CV useful for simply generating a performance metric by providing a way to test your model? Or is it a means to creating a final model?
For both. It generates performance metrics to test your model …
- 774