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mean absolute percentage error.
Overall mean absolute percentage deviation of 1.64% was found.
The suitability of the model was assessed based on the mean absolute percentage error (MAPE).
The model performance was measured using RMSE and mean absolute percentage error (MAPE).
Their forecast model achieved a mean absolute percentage error (MAPE) of 9.9%.
The percentage of the average of this total ratio is the mean absolute percentage error.
Furthermore, the mean absolute percentage error (MAPE) of the model decreases from 5.64%to4.94%4%.
The parenthesized numbers are empirical standard deviations of these mean absolute percentage error estimates.
According to the comparison results, the hybrid metaheuristic regression model was better than the single and ensemble models in predicting the pitting corrosion risk (mean absolute percentage error=5.6%) and the marine corrosion rate (mean absolute percentage error = 1.26%).
The acquired results of the model have shown high accuracy with a mean absolute percentage error (MAPE) about 4.338%.
The minimum mean absolute percentage errors of 11.99% and 12.75% for SSeff and CODeff could be achieved using ANFIS.
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mean absolute rubbish
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