Evaluation of machine learning based models to predict the bulk density in the flash sintering process

•The prediction method associated to flash sintering to define traits of ceramics.•Applying supervised learning algorithms for modelling the flash sintering process.•Support Vector Machine-based method performs best with a small database.•The model using holding time present best performance to predict the bulk density.