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 k-nearest-neighbour
Search options not deleted
user 175148
A non-parametric method of classification and regression. The input consists of the $k$ closest training examples in the feature space. The output is either the mode of the neighbors (in classification) or their mean (in regression).
2
votes
1
answer
348
views
Why is the success rate low and yet still better than random guessing?
I'm reading Introduction to Statistical Learning. It mentions on page 166 for KNN modeling that a success rate of 11.7% is more than double that of random guessing. My question is, first what is the s …
- 21