Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model

Table 3

Summary of different quality assessment criteria for the best RF predictor.

	RMSE	MAE	Err. mean	Err. std	R
Training set	5.4480	4.1365	−0.0563	5.4563	0.9759
Testing set	4.9585	3.9423	0.6252	4.9647	0.9729