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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 …
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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 …
Cheeseburger's user avatar