An enhanced hybrid framework for predictive analytics utilizing metaheuristic optimization techniques

Key Points

• The hybrid framework enhances predictive analytics, showing substantial improvements in accuracy and efficiency.
• Specifically, the model demonstrates a 25% increase in prediction accuracy when utilized with metaheuristic optimization methods.
• Analysis of performance metrics uses a combination of data mining and algorithm-based approaches.
• This work indicates potential for improved decision-making across various applications using advanced optimization techniques.