90% of the Tg and Td dataset was used for model training and the remaining 10% was used for an independent test set. In order to establish robust ML models to predict the thermal stability of OLED materials, 10-fold cross-validation was used to reduce the randomness of sample division and enhance the stability of the obtained ML models.