Predictive System

Predictive systems leverage machine learning to forecast future outcomes across diverse domains, aiming to improve decision-making and resource allocation. Current research emphasizes enhancing prediction accuracy through advanced algorithms like XGBoost and ResNet-BiGRU networks, while simultaneously addressing challenges such as computational efficiency (e.g., using smaller, faster models to assist larger ones) and explainability (e.g., incorporating XAI techniques for greater transparency and trust). These advancements have significant implications for various fields, including sports analytics, healthcare (e.g., injury prediction, disease progression modeling), and industrial maintenance, offering the potential for improved efficiency, resource optimization, and enhanced safety.