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IEEE/ICACT20230128 Slide.13        [Big Slide]       [YouTube]	Oral Presentation
	Except searching time, we also calculated three main evaluation metrics, MAE RMSE and MAPE. The formula is given here. MAE (Mean Absolute Error) is a measure of errors between paired observations expressing the same phenomenon. MAE represent the actual situation of the error of calculated distance. RMSE (Root Mean Square Error) is the square of the difference between the true value and the predicted value, and then the average of the sum, RMSE reflect the sample standard deviation of the difference between the calculated optimal path and the true optimal path. MAPE (Mean Absolute Percentage Error) represent the precision of the path planning algorithm.

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