Table 2 Final model results.

From: Intelligence computational analysis of letrozole solubility in supercritical solvent via machine learning models

Models

Train R2

Test R2

MAE

MSE

MAPE

Max error

PAR

0.9136

0.8277

0.2697

0.1342

0.2990

0.7611

RF

0.9891

0.9534

0.1132

0.0305

0.1855

0.4659

RBF SVM

0.9944

0.9947

0.0561

0.0045

0.0888

0.1289

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