This repository contains two Python files that implement the Adaboost and Gradient Boosting algorithms. These algorithms are popular ensemble methods used in machine learning for both classification ...

AdaBoost, which stands for Adaptive Boosting, is an ensemble learning algorithm that combines multiple weak learners (e.g., decision trees) to create a strong, accurate model. It is an iterative ...

Abstract: This paper compares two prominent machine learning algorithms, XGBoost and AdaBoost, focusing on their predictive performance across various metrics within the context of a specified dataset ...

Abstract: Traditional methods rely on complex algorithms and extensive data preparation to detect errors. However, Adaboost classifiers offer an easier yet more efficient way to automatically detect ...

ABSTRACT: Because of the increasing attention on environmental issues, especially air pollution, predicting whether a day is polluted or not is necessary to people’s health. In order to solve this ...