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 classification
Search options not deleted
user 47653
An instance of supervised learning that identifies the category or categories which a new instance of dataset belongs.
1
vote
How do you calculate Precision and Recall using a confusion matrix in Matlab?
Here, first find the all true positive values using the diag function:
tp_m = diag(cm_test);
and then for each class find the TP, TN, FP, FN using the following code:
for i = 1:num_labels
TP = t …
- 111