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. 2021 Feb 2;131:104252. doi: 10.1016/j.compbiomed.2021.104252

Fig. 8.

Fig. 8

Confusion matrices of four models: (A) Original AlexNet (95.98%), (B) Improved AlexNet (98.09%), (C) Improved AlexNet + SVM (98.47%), and (D) Proposed model (improved AlexNet + ReliefF + SVM) (99.43%) The results displayed in the confusion matrix correspond to the results with the highest classification accuracy of each model.