Fig. 1: Performance comparison of different models. | npj Climate and Atmospheric Science

Fig. 1: Performance comparison of different models.

From: Interpretable ensemble learning unveils main aerosol optical properties in predicting cloud condensation nuclei number concentration

Fig. 1

The performance comparison of different models using statistical parameters of a Root mean square error (RMSE), b mean absolute error (MAE), c mean absolute percentage error (MAPE), d relative euclidean distance (RED) and e determination coefficient (R2), where smaller RMSE, MAE, MAPE, and RED, and larger R2 indicate a better model performance.

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