IEEE

Typhoon Classification and Path Prediction Based on XGBoost and Random Forest Modeling

Abstract: The aim of this paper is to construct a typhoon classification and path prediction system based on XGBoost and random forest model to improve the accuracy of typhoon prediction and disaster ...
Scientific Research Publishing

The Influence of Prior Sensory Context on Meditative Neural States ()

Meditation offers a controlled behavioral context for probing attention, arousal, and self-regulation. Rather than positioning the present work as a discovery of novel neural signatures, we analyze ...
GitHub

rskworld/fraud-detection-ml

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
GitHub

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression ...

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Scientific Research Publishing

Breiman, L. (2001) Random Forests. Machine Learning, 45, 5-32.

ABSTRACT: Atrial fibrillation (AF) is a leading cardiac arrhythmia associated with elevated mortality risk, particularly in low-resource settings where early risk stratification remains challenging.
IEEE

Classification of Heart Disease: Comparative Analysis using KNN, Random Forest, Gaussian Naive Bayes, XGBoost, SVM, Decision Tree, and Logistic Regression

Abstract: The heart is the center of the human body, and when it is not functioning well, the body cannot operate effectively. This research aims to compare some of the classifier models to find the ...