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. 2022 Feb 19;22(4):1629. doi: 10.3390/s22041629

Table 2.

The performance of the ANN and FFNN algorithms on the ALL_IDB1 and ALL_IDB2 datasets.

Dataset ALL_IDB1 ALL_IDB1
Classifiers ANN FFNN SVM ANN FFNN SVM
Accuracy % 94.4 100 90.91 100 100 98.11
Precision % 100 100 100 100 100 95.83
Sensitivity % 91.55 100 84.62 100 100 100
Specificity % 91.55 100 100 100 100 96.67
AUC % 94.52 100 91.99 99.21 100 97.86