help me response to the following commentsThe method of experimental comparison is not SOTA algorithm so it is difficult to verify the advanced nature of this method

Thank you for sharing your thoughts. While it is true that the experimental comparison method may not be the state-of-the-art (SOTA) algorithm, it is still a valuable approach for evaluating the performance of different methods. It allows us to compare and contrast the strengths and weaknesses of various techniques in a controlled setting. Furthermore, it provides insights into how different methods perform under varying conditions and datasets, which is important for developing new and improved algorithms. While SOTA algorithms are undoubtedly important, we should not discount the value of experimental comparison in advancing the field of machine learning