Research Article

Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model

Table 2

Summary of different quality assessment criteria over 500 simulations with the best RF architecture.

CriteriaRRMSEMAE
Training setTesting setTraining setTesting setTraining setTesting set

Min0.97000.90544.69514.98583.52613.9423
Average0.97440.94615.22037.26023.83675.3628
Max0.98050.97295.52609.61084.13656.8476
Std0.00160.01270.12510.72640.09920.4900