ML powered system that predicts most suitable crop using ensemble(hard voting) of Decision Tree, Random Forest, and Gradient Boosting models implemented from scratch ...

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

To address the limitations inherent in individual diagnostic methods for tuberculosis (TB), this study introduces an innovative approach: a “EC first, then PPD” combined Classification and Regression ...

A Georgia father and son who sought refuge under a tree during a storm Sunday evening were killed when the tree fell on their golf cart, according to officials. Matthew Terrell Collins Sr., 58, and ...

Abstract: Decision tree is a machine learning algorithm that can effectively predict student performance. However, the existing performance prediction models rarely analyze the impact of multiple ...

If you are wondering what to do with your Christmas tree after the holiday season, there are many Metro Detroit cities that are offering to recycle your used tree. These cities are offering pick-up or ...

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...