Applications of Decision Tree Classifier: Credit Scoring: Decision trees are commonly used in credit scoring to assess the creditworthiness of individuals or businesses. By considering factors such as ...

This repository contains a simple decision tree classifier implemented from scratch in Python using NumPy. The code includes a basic implementation of a decision tree for supervised learning, with ...

Binary Classification Using a scikit Decision Tree. ... The scikit-learn library (also called scikit or sklearn) is based on the Python language and is one of the most popular machine learning ...

There are several tools and code libraries that you can use to perform multi-class classification using a decision tree. The scikit-learn library (also called scikit or sklearn) is based on the Python ...

The heart disease dataset was obtained from Kaggle with 303 patient records and 14 essential clinical features and the output classifies whether or not a person has heart disease. After the ...