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Context 1
... sensitivity at an average of 84.92%, specificity at 63.58% average, and accuracy at 73.06% average are obtained by existent techniques, like ANFIS, KNN, ANN, and SVM, which are comparatively low when analogized to the proposed RDLNN. Figure 3 depicts the graphical illustration of Table 1. The proposed RDLNN is relatively examined with different existing techniques like ANFIS, KNN, ANN, and SVM. ...