Table 6 Statistical evaluation of various ML models for training and testing dataset after ML parameters optimization process.

From: Enhancing solar photovoltaic energy production prediction using diverse machine learning models tuned with the chimp optimization algorithm

ML model

Training

Testing

\(RMSE\)

\(MAE\)

\({R}^{2}\)

\(RMSE\)

\(MAE\)

\({R}^{2}\)

MLR

2.735

2.161

0.928

2.619

2.037

0.921

DTR

1.902

1.724

0.958

1.972

1.737

0.951

RFR

1.773

1.703

0.964

1.837

1.774

0.963

SVR

0.657

0.456

0.987

0.818

0.716

0.977

MLP

0.486

0.369

0.991

0.503

0.397

0.99

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