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 26415
An instance of supervised learning that identifies the category or categories which a new instance of dataset belongs.
2
votes
How to create vectors from text for address matching using binary classification?
I would rather recommend to consider each address as a separate instance. (Separate row in feature matrix)
Each address can be further broken into attributes like: House no., Street, City, State, Cou …
- 131
1
vote
How to tell if a problem should use regression or classification model?
if y is continuous, the problem is a regression problem
else if y is discrete, the problem is a classification problem
Continuous implies y can take any value [i, j] on Real scale and discrete implies …
- 131
0
votes
Training multi-label classifier with low quality training set
You are right in last paragraph. You can use tensorflow for this purpose. Tensorflow supports having output as vector of classes.
The introductory tutorial of tensorflow for MNIST dataset uses outpu …
- 131