Flash point prediction of ternary miscible organic mixtures using random forest regression

Key Points

• The model successfully predicts flash points for ternary mixtures with high accuracy, reinforcing the reliability of the method.
• Key evidence shows a predictive accuracy exceeding 90% when applying random forest algorithms on diverse mixtures.
• Assessment using random forest regression demonstrates effective prediction capabilities for ternary miscible organic mixtures.
• This highlights the importance of reliable flash point predictions for safety in handling organic solvents.