Software quality assurance is a fundamental aspect of software development, ensuring that software products meet predefined standards and user expectations. In this era of rapidly evolving technology and complex software systems, predicting and enhancing software quality is paramount. This study presents an experimental investigation into software quality prediction using machine learning methods.