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Table 2 Prediction performance of different single-based machine learning algorithms

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

Regressors

\(R^2\)

MAE

MSE

RMSE

RMSLE

ANN

0.99665

0.00338

1.81914e\(-\)05

0.00042

0.00346

SVM

\(-\)0.01955

0.06963

0.00523

0.07237

0.05713

DT

0.96826

0.00806

0.00015

0.01239

0.01033

LR

0.99589

0.00209

5.77396e\(-\)06

0.00240

0.00188