Application of Artificial Intelligence Models to Predict the Tensile Strength of Glass Fiber-Modified Cemented Backfill Materials during the Mine Backfill Process

Table 3

The performance indicators of different prediction models.

	Training set			Testing set
		RMSE	MAE		RMSE	MAE
ABC-SVM	0.9844	0.0474	0.0413	0.9555	0.0749	0.0605
DE-SVM	0.9677	0.0541	0.0515	0.9359	0.0967	0.0707
GA-SVM	0.9835	0.0453	0.0384	0.9539	0.0769	0.0626
SSA-SVM	0.9717	0.0501	0.0507	0.9413	0.0860	0.0661