Adaboost Algorithm

AdaBoost is a machine learning algorithm that combines multiple weak classifiers to create a strong, accurate classifier. Current research focuses on enhancing AdaBoost's performance through integration with other models, such as Long Short-Term Memory networks (LSTMs) for time-series data and its application in diverse fields including multi-omics data analysis, web advertisement click prediction, and medical diagnosis. This versatile algorithm demonstrates significant potential for improving prediction accuracy across various domains, particularly where data is complex, imbalanced, or high-dimensional, leading to improved decision-making in diverse applications.