Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

Table 2

Summary of the results obtained over 1000 Monte Carlo simulations for ANN, Boosted, and ELM algorithms in this study.

Criteria	ANN	Boosted	ELM
Mean R	0.9348	0.9192	0.8703
Std. R	0.0129	0.0134	0.0624
Mean RMSE	0.0820	0.1029	0.1386
Std. RMSE	0.0073	0.0076	0.0412
Mean MAE	0.0591	0.0763	0.1157
Std. MAE	0.0049	0.0056	0.0388