/decision-trees

Primary LanguageJupyter Notebook

Decision Trees - comparing learning rates of different algorithms

Paul Leitner, April 2020

I will implement an OO Decision Tree learning classifier with 2 different learning algorithms here; ID3 and C4.5

The only packages I will rely on here are base python packages such as math as well as numpy, in order to take advantage of vectorization

Finally, I will include a jupyter notebook with a brief visual comparison of the learning rates and some explanation.

Further notes to be added here.

This Project is done as a project for Software Development 1

in my Masters Degree at University of Applied Sciences Kufstein