Prediction of the slump and strength of high strength concrete using random forest model

In this article, an RF model is developed in predicting the slump and strength of concrete using mixed mineral admixtures from blast furnace slag and silicafume. The criterions to evaluate the accuracy of the models are the R squared (R2 ) and the root mean square error (RMSE).