Given these advantages, the present study aims to employ the decision tree algorithm to classify tomatoes based on their ripeness condition for consumption using colorimetric characteristics obtained ...

The Pentagon mobilized 700 Marines and 2,000 more National Guard troops even as the president said the situation was “under control.” Gov. Gavin Newsom condemned the escalating response.

This cross-sectional study investigated SLD-related variables using decision tree regression in apparently healthy adults. Participants were consecutively recruited from the Health Promotion and Check ...

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...

Contribute to Vijay967683/Prediction_using_Decision_Tree_Algorithm_TSF development by creating an account on GitHub.

This work explores student's academic performance using decision tree algorithm having parameters like Student's Academic Information and Students Activity. We collected records of 22 students from ...

This project uses a Regression tree model to predict real estate prices based on various factors such as crime rate, average number of rooms, distance to employment centers, and more. The dataset ...

The main part of the research project “Bank Loan Prediction Using Machine Learning Techniques” is the Decision Tree Classifier, a basic machine learning algorithm.

The two most important aspects of decision tree regression are understanding how to use the tree to make a prediction, and how to create the tree from the training data. Figure 2 shows a small ...