What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet ...

This repository contains a student lab project focused on implementing and analyzing fundamental tree algorithms and a Decision Tree classifier. The project is divided into two main tasks: A custom ...

In contrast, the decision tree model performed significantly better, establishing clear decision boundaries and achieving high classification accuracy. The decision tree consistently selected Height ...

This repository features a Java implementation of a Decision Tree Classifier, demonstrating the algorithm's core concepts, including tree building, predictions, and model evaluation.

ID3 decision tree is the most extensive method. It can be used to classify, identify and predict data information, and the whole system can be divided into several stages according to its nature. It ...

Conclusion: Our study shows potential implementation of machine learning decision tree model algorithms based on a hierarchical, convenient, and personalized use of perfusion and spectroscopy MRI data ...

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 ...