Decision-Tree-Algorithms-in-Python In this project I implement Decision-Trees using common algorithm schemes like the C4.5 scheme. It is possible to visualize a generated tree using visualize(), which ...

dtree.py : Implement algorithms for calculating entropy, measuring information gain, building decision tree, checking the accuracy and etc. drawtree_qt5.py : Function for drawing (visualizing) a ...

ChefBoost is one python package that provides functions for implementing all the regular types of decision trees and advanced techniques. One thing which is noticeable about the package is we can ...

The Data Science Lab. Multi-Class Classification Using a scikit Decision Tree. Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the ...