Effect of the number of classes on accuracy of classification

author: Vladimir Metelitsa date: 19/01/2017 autosize: true

Unsupervised and Supervised Classification

We have gone over unsupervised and supervised classification in class. Quick refresher:

Unsupervised: Model "guesses" classes itself
Supervised: You provide training data for the model as a vector file

What I made

Web interface to play with different inputs into classification
Support for both unsupervised and supervised classification
Customisable number of classes and sample size
Display of accuracy for supervised classification

Demo time =)

Results

Clearly less accuracy the more classes we have.

But why?

Try it at home

If you want to play with this, you can download it from my Github repository at:

https://github.com/Green-Cat/M15RemoteSensingProject

Or try it online at a URL which will be added later to the description of my repository.