C4.5 is an extension of Quinlan's earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier.

An Algorithm for Building Decision Trees C4.5 is a computer program for inducing classification rules in the form of decision trees from a set of given instances

Jun 2, 2025 · In this guide, we’ll walk you through how to build a decision tree from scratch using C4.5. By the end, you’ll know exactly how to use this algorithm to make better decisions with …

Here is the decision tree, just as produced by c4.5, for the voting example introduced earlier.

Dec 26, 2023 · C4.5 is a data mining algorithm and it is used to generate a decision tree. The C4.5 algorithm is very helpful to generate a useful decision, that is based on a sample of data.

Jul 12, 2023 · C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. C4.5 is an extension of Quinlan's earlier ID3 algorithm. The decision trees generated by C4.5 …

Dec 21, 2023 · Visit this link if you wish to comprehend the IC3 algorithm in action and learn how to implement the C4.5 algorithm. Alternatively, you can download the enclosed source code to …

Aug 11, 2025 · Given that decision tree algorithm inherently possesses excellent interpretability, this paper studies the hyperparameter selection optimization of the C4.5 algorithm.

Known for its robustness and efficiency, the C4.5 algorithm has become a standard choice for data analysts and data scientists. In this article, we will explore the working mechanisms of the …

C4.5 is an algorithm developed by John Ross Quinlan that creates decision tress. A decision tree is a tool that is used for classification in machine learning, which uses a tree structure where …