Prediction of the Void Ratio Parameter in Mineral Tailings Using Gene Expression Programming

Table 3

Performance of the GEP models in predicting void ratio for training and testing datasets.

Models	Train			Test
	MAE	RMSE	R^2	MAE	RMSE	R^2
Model 1	0.086	0.122	0.93	0.121	0.24	0.92
Model 2	0.097	0.133	0.93	0.196	0.543	0.90
Model 3	0.09	0.117	0.95	0.127	0.189	0.92
Model 4	0.143	0.183	0.72	0.19	0.388	0.83
Model 5	0.18	0.287	0.31	0.286	0.534	0.55
Model 6	0.091	0.118	0.92	0.136	0.258	0.92
Model 7	0.076	0.104	0.96	0.111	0.17	0.94
Model 8	0.093	0.127	0.93	0.125	0.234	0.91