首先，在含mRMR的情况下，将本文提出的方法与图3中其他算法进行对比，

First of all, in the case of mRMR, the method proposed in this paper is compared with other algorithms in Figure 3, as shown in Figure 3. It can be seen from the figure that the accuracy of the method in this paper is the highest and the standard deviation is the lowest, indicating that this method has a better diagnostic ability than other algorithms. Then, without mRMR, compare the method in this paper with other methods in Figure 4, as shown in Figure 4. It can be seen from the figure that although the proposed method STD is better than some other methods, it still has the highest accuracy rate. At the same time, a comparison between Figure 3 and Figure 4 illustrates the necessity of mRMR. Finally, comparing the method in this paper with other optimization algorithms in Figure 5, it shows that the correct rate of the method in this paper is the highest, and the STD value is the lowest. A step shows that the proposed algorithm has better diagnostic capabilities and optimization reliability.

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Firstly, in the case of mrmr, the proposed method is compared with other algorithms in Fig. 3, as shown in Fig. 3. It can be seen from the figure that the accuracy rate of this method is the highest and the standard deviation is the lowest, which shows that the method has better diagnostic ability than other algorithms. Then, without mrmr, the proposed method is compared with other methods in Fig. 4, as shown in Fig. 4. It can be seen from the figure that although the proposed method STD is better than other methods, the accuracy rate is still the highest. At the same time, the comparison between figure 3 and Figure 4 shows the necessity of mrmr. Finally, by comparing this method with other optimization algorithms in Figure 5, it shows that the accuracy of the proposed method is the highest and the STD value is the lowest. One step shows that the proposed algorithm has better diagnostic ability and optimization reliability.<br>