Table 3. The confusion matrix showing the strain classification using the front four principal components of PCA of the normalized data. The accuracy of the classification is defined as (252 + 240) / (290 + 299), namely 83.5%. |
|
True |
Class |
|
Predicted class |
ICV-K1 (287) |
T306 (303) |
% correct |
ICV-K1 |
252 |
38 |
86.9 |
T306 |
59 |
240 |
80.3 |
|
|