An assessment of ensemble learning approaches and single-based machine learning algorithms for the characterization of undersaturated oil viscosity

Beni-Suef University Journal of Basic and Applied Sciences

Table 3 Prediction performance of bagging approach type of ensemble technique

Bagged regressors	\(R^2\)	MAE	MSE	RMSE	RMSLE
Bagged-ANN	0.99744	0.00325	1.39161e\(-\)05	0.000373	0.00293
Bagged-SVM	\(-\)0.14575	0.03888	0.00153	0.03920	0.03288
Bagged-DT	0.99616	0.00386	2.08562e\(-\)05	0.00456	0.00366
Bagged-LR	0.99894	0.00204	5.72352e\(-\)06	0.00239	0.00187
Random-Forest	0.98310	0.00607	9.19762e\(-\)06	0.00959	0.00783