Table 6 Comparative performance of deep... | Emerald Publishing

Table 6

Comparative performance of deep learning models

Model	Number of layers	R²	RMSE	MAE
XGBoost (reference)	–	0.74	0.37	0.27
DNN – configuration 1	2 layers	0.79	0.33	0.25
DNN – configuration 2	3 layers	0.81	0.31	0.24
DNN – optimized configuration	4 layers	0.83	0.29	0.22

Model	Number of layers	R²	RMSE	MAE
XGBoost (reference)	–	0.74	0.37	0.27
DNN – configuration 1	2 layers	0.79	0.33	0.25
DNN – configuration 2	3 layers	0.81	0.31	0.24
DNN – optimized configuration	4 layers	0.83	0.29	0.22

Source(s): Authors’ own work