1 based on entropy before pruning. 1 based on entropy after pruning. 1 based on variance before pruning. 1 based on variance after pruning. VERSION OF PYTHON USED FOR ...

This project is a Python implementation of a binary decision tree from scratch. The ID3 algorithm to build a decision tree mainly consists of using a calculated hueristic to split the data at each ...

The scikit-learn library (also called scikit or sklearn) is based on the Python language ... Figure 1: Binary Classification Using a scikit Decision Tree After training, the model is applied to the ...

Abstract: Class imbalance poses a critical challenge in binary classification problems ... deep learning techniques struggle with such imbalances, decision trees and random forests combined with data ...