Table 7 Performance evaluation of ML models for humidity prediction.

From: Comparative analysis of machine learning techniques for temperature and humidity prediction in photovoltaic environments

Model

MAE

RMSE

R²

SVR

6.780

2.604

0.253

Lasso regression

6.681

2.585

0.457

RR

6.556

2.560

0.468

LR

6.555

2.560

0.468

AdaBoost

5.783

2.405

0.595

DT

3.898

1.974

0.649

GB

4.095

2.024

0.716

RF

3.583

1.893

0.717

XGBoost

3.550

1.884

0.744

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