C4.5 Decision Tree Algorithm in Python

C4.5 is one of the most common decision tree algorithm. It offers some improvements over ID3 such as handling numerical features. It uses entropy and gain ratio to find the decision points in the decision tree. Herein, chefboost is a python based gradient boosting, random forest and adaboost enabled decision tree framework. In this video, we are going to see how to apply C4.5 for a classification problem in Python. You need to write just a few lines of code. Framework: https://github.com/serengil/chefboost Documentation: https://sefiks.com/2018/05/13/a-step-by-step-c4-5-decision-tree-example/ Videos for Python Implementations of Regular Decision Tree Algorithms CHAID: https://youtu.be/dcnFuS4QILg ID3: https://youtu.be/Z93qE5eb6eg C4.5: https://youtu.be/kjhQHmtDaAA CART: https://youtu.be/CSApBetgukM Regression Trees: https://youtu.be/pCQ2RCa20Bg Videos for Overview of Regular Decision Tree Algorithms CHAID: https://youtu.be/cu0ZdZNCbKo ID3: https://youtu.be/NF9Z3oECvaA C4.5: https://youtu.be/344jy4Stusg CART: https://youtu.be/NtQpKgkkdsQ Regression Trees: https://youtu.be/pQOZ1ytAkg4 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 Threads: https://www.threads.net/@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