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Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Abstract: This paper analyzes the possible use of machine learning (ML) algorithms for early detection and prevention of cardiovascular disease (CVD) which is one of the leading global health concerns ...

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

Abstract: In this study, various algorithmic models such as Random Forest and ARIMA are combined, and the study aims to establish an accurate medal prediction model. Firstly, the data of past ...

EV Sales Prediction in India using Machine Learning. Forecasts electric vehicle sales across Indian states with interactive visualizations and a modern web UI.

1 Institute of Molecular Engineering and Applied Chemistry, Anhui University of Technology, Ma’anshan, China. 2 Department of Civil Engineering, Tongling University, Tongling, China. This research ...

Design and Implementation of Random Forest algorithm from scratch to execute Pacman strategies and actions in a deterministic, fully observable Pacman Environment. This is a Machine Learning model ...