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. 2022 Apr 29;2022:6414664. doi: 10.1155/2022/6414664

Table 2.

The p values between the proposed feature extraction method and each of the existing feature extraction methods.

Parameter Classifier FS1 FS2 FS3 FS4
Accuracy LDA p < 0.001 p < 0.001 p < 0.001 p < 0.001
SVM p < 0.001 p < 0.001 p < 0.001 p < 0.001
KNN p < 0.001 p < 0.001 p < 0.001 p < 0.001
Sensitivity LDA p < 0.001 p < 0.001 p < 0.001 p < 0.001
SVM p < 0.001 p < 0.001 p < 0.001 p < 0.001
KNN p < 0.001 p < 0.001 p < 0.001 p < 0.001
Specificity LDA p < 0.001 p < 0.001 p < 0.001 p < 0.001
SVM p < 0.001 p < 0.001 p < 0.001 p < 0.001
KNN p < 0.001 p < 0.001 p < 0.001 p < 0.001
Precision LDA p < 0.001 p < 0.001 p < 0.001 p < 0.001
SVM p < 0.001 p < 0.001 p < 0.001 p < 0.001
KNN p < 0.001 p < 0.001 p < 0.001 p < 0.001
F1 score LDA p < 0.001 p < 0.001 p < 0.001 p < 0.001
SVM p < 0.001 p < 0.001 p < 0.001 p < 0.001
KNN p < 0.001 p < 0.001 p < 0.001 p < 0.001