Table 2. The confusion matrix showing the strain classification by DFA using the front four principal components obtained from the PCA of the corrected data. The accuracy of the classification is defined as (210 + 222) / (290 + 299), namely 73.2%. |
True |
Class |
||
Predicted class |
ICV-K1 (287) |
T306 (303) |
% correct |
ICV-K1 |
210 |
80 |
72.4 |
T306 |
77 |
222 |
74.2 |
|
|