Decision trees are popular machine learning algorithms that can be used ... or high cost on the complexity. You can use cross-validation or other methods to evaluate the effect of pruning.

This repository provides a theoretical overview of the decision tree algorithm for prediction. It aims to explain the concepts, principles, and steps involved in using decision trees ... is a popular ...

This project effectively demonstrates the use of the Decision Tree algorithm for classification tasks using the Iris dataset. The resulting model is both interpretable and accurate, making it a ...

In the second phase, the algorithms are classified based on these vectors using the C4.5 decision tree classifier. We demonstrate the performance of the method by applying it to sorting algorithms.

Choosing the right algorithm for machine learning can make a huge difference in making your model very effective. Of many algorithms, two popular choices have been Decision Trees ... in a flowchart ...

This Study aims to develop an enhanced MFA algorithm that detect and prevent MFA fatigue attacks using both Decision-Tree and Logistics-Regression ... and second authentication factor. The research ...

While Markov Chain Monte Carlo methods are typically used to construct Bayesian Decision Trees, here we provide a deterministic Bayesian Decision Tree algorithm that eliminates the sampling and does ...