Feature Importance of Decision Trees in Python From Scratch

ID3 decision tree algorithm is a popular technique for building decision trees that can be used for classification and regression tasks. But, in addition to building accurate models, understanding the importance of features is critical for interpretability and explainability. In this video, we will explore how to calculate feature importance in ID3 decision trees using Python's Chefboost library. Feature importance is a way to measure the relevance of input features or attributes in determining the output class in a decision tree model. It is an important metric that can be used to identify the most important features, which can help in feature selection, feature engineering, and improving the model's overall performance. In this tutorial, we will start by introducing the concept of decision trees and the ID3 algorithm. We will then walk through the process of building a decision tree model using Chefboost library and evaluate its performance. Next, we will demonstrate how to calculate feature importance in the ID3 decision tree using Chefboost's built-in functions. We will explain each method and show how to interpret the results. Finally, we will discuss some practical applications of feature importance in machine learning, such as identifying which features to focus on for further analysis or feature engineering, and how to communicate the results of feature importance to stakeholders. By the end of this video, you will have a solid understanding of how to calculate feature importance in ID3 decision trees using Python's Chefboost library, and how to use this technique for machine learning interpretability and explainable AI. Tutorial: https://sefiks.com/2020/04/06/feature-importance-in-decision-trees/ Please Subscribe! That's what keeps me going ► https://bit.ly/40NfIS7 Want more? Connect with me here: Blog: https://sefiks.com/ Twitter: https://twitter.com/serengil Instagram: https://www.instagram.com/serengil Facebook: https://www.facebook.com/sefikscom Linkedin: https://www.linkedin.com/in/serengil/ If you do like my videos, you can support my effort with your financial contributions on - Patreon: https://www.patreon.com/serengil?source=youtube - GitHub Sponsors: https://github.com/sponsors/serengil - Buy Me a Coffee: https://buymeacoffee.com/serengil