From: A comparative study of the svm and k-nn machine learning algorithms for the diagnosis of respiratory pathologies using pulmonary acoustic signals
Predicted
N
A
P
Accuracy
16
0
1
94.12%
Actual
25
96.13%
2
22
88.00%