These results highlight the importance of incorporating multiple relevant features in predictive models for chemical properties. The developed model provides a robust tool for estimating oxide acidity, offering potential applications in various industrial and environmental processes. Future work could involve expanding the dataset and exploring additional features to further enhance the model's predictive capabilities.