Table 2 The outputs of final optimized approaches.

From: Developing Gaussian process regression, Lasso regression, and Nu-support vector regression models for predicting solubility of exemestane in supercritical CO2

Models

R2 score

MAE

MAPE

Max error

GPR

0.996

0.904

0.064

3.27

Nu-SVR

0.793

5.310

0.873

15.74

LASSO

0.983

1.921

0.115

5.57

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