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 |
Multi-class classification is when you have a classification problem with multiple classes, specifically 3 or more classes. Many classifications are binary by design, therefore the additional nomenclature of multi-class classification was defined to describe algorithms capable of classifying datasets with more than 2 classes.
1
vote
1
answer
2k
views
What's the most effective way to measure the accuracy of my multi-class classification NN?
I'm relatively new to data science, and am confused about how to measure the accuracy of a multi-class neural network. The model I'm building is attempting to predict the outcome of a given event with …
0
votes
0
answers
295
views
How can I fix my classifier only predicting two classes, and do my metrics show that it is o...
I have a relatively simple 16 feature neural network attempting to predict the outcome of a sports event as win, loss, draw, however regardless of the number of layers, or the number of nodes in said …