accuracy enhancement techniques

Accuracy enhancement techniques improve the correctness of a system's outputs by refining data quality, optimizing algorithms, or combining multiple models. This includes cleaning and verifying data to remove errors, adjusting settings to better interpret data patterns, using advanced algorithms that learn from more information, and combining different models (ensemble methods) to balance their strengths. These techniques help systems make more precise and reliable decisions or predictions, ultimately increasing their overall performance and trustworthiness.