Table 1 Translation of OD values from the samples into the confusion matrix table
| Â | Actual classes | ||
|---|---|---|---|
Normal | Mild | Severe | |
(a) The confusion matrix table consists of normal, mild, and severe group | |||
Predicted classes | |||
 Normal | 9.0 | 0.0 | 0.0 |
 Mild | 1.0 | 10.0 | 6.0 |
 Severe | 0.0 | 0.0 | 4.0 |
(b) True table analysis for each group from all | |||
True positive (TP) | 9 | 10 | 4 |
False positive (FP) | 1 | 6 | 0 |
True negative (tn) | 20 | 13 | 20 |
False negative (FN) | 0 | 1 | 6 |
Parameter | Value | |||
|---|---|---|---|---|
| Â | Normal | Mild | Severe | |
(c) Parameters formula and its calculated value of sensitivity, specificity, precision, and model accuracy | ||||
\(\text{Sensitivity} = \frac{\text{TP}}{\text{TP+FN}}\) | (i) | 1.00 | 0.91 | 0.40 |
\(\text{Specificity} = \frac{\text{TN}}{\text{TN+FP}}\) | (ii) | 0.95 | 0.68 | 1.00 |
\(\text{Precision} = \frac{\text{TP}}{\text{TP+FP}}\) | (iii) | 0.90 | 0.62 | 1.00 |
\(\text{Accuracy} = \frac{\text{TP+TN}}{\text{TP+TN+FP+FN}}\) | (iv) | 0.96 | 0.76 | 0.80 |