Table 5.
algorithm models | severity grade | precision | recall | f1-score | support | accuracy |
---|---|---|---|---|---|---|
SavGol+SVM | healthy | 1.00 | 1.00 | 1.00 | 28 | 0.966 |
TMV1 | 1.00 | 0.786 | 0.88 | 14 | ||
TMV3 | 0.769 | 1.00 | 0.869 | 10 | ||
TMV5 | 1.00 | 1.00 | 1.00 | 12 | ||
TMV7 | 1.00 | 1.00 | 1.00 | 13 | ||
TMV9 | 1.00 | 1.00 | 1.00 | 11 | ||
SavGol+RF | healthy | 0.903 | 1.00 | 0.949 | 28 | 0.966 |
TMV1 | 1.00 | 0.786 | 0.88 | 14 | ||
TMV3 | 1.00 | 1.00 | 1.00 | 10 | ||
TMV5 | 1.00 | 1.00 | 1.00 | 12 | ||
TMV7 | 1.00 | 1.00 | 1.00 | 13 | ||
TMV9 | 1.00 | 1.00 | 1.00 | 11 | ||
MSC+SVM | healthy | 1.00 | 1.00 | 1.00 | 28 | 0.966 |
TMV1 | 1.00 | 0.786 | 0.88 | 14 | ||
TMV3 | 0.769 | 1.00 | 0.869 | 10 | ||
TMV5 | 1.00 | 1.00 | 1.00 | 12 | ||
TMV7 | 1.00 | 1.00 | 1.00 | 13 | ||
TMV9 | 1.00 | 1.00 | 1.00 | 11 | ||
MSC+RF | Healthy | 0.862 | 0.893 | 0.877 | 28 | 0.875 |
TMV1 | 0.889 | 0.571 | 0.696 | 14 | ||
TMV3 | 0.769 | 1.00 | 0.869 | 10 | ||
TMV5 | 1.00 | 1.00 | 1.00 | 12 | ||
TMV7 | 0.80 | 0.923 | 0.857 | 13 | ||
TMV9 | 1.00 | 0.909 | 0.952 | 11 | ||
SNV+RF | healthy | 1.00 | 1.00 | 1.00 | 28 | 0.966 |
TMV1 | 1.00 | 0.786 | 0.88 | 14 | ||
TMV3 | 0.769 | 1.00 | 0.869 | 10 | ||
TMV5 | 1.00 | 1.00 | 1.00 | 12 | ||
TMV7 | 1.00 | 1.00 | 1.00 | 13 | ||
TMV9 | 1.00 | 1.00 | 1.00 | 11 | ||
SNV+SVM | healthy | 1.00 | 1.00 | 1.00 | 28 | 0.955 |
TMV1 | 1.00 | 0.714 | 0.833 | 14 | ||
TMV3 | 0.714 | 1.00 | 0.833 | 10 | ||
TMV5 | 1.00 | 1.00 | 1.00 | 12 | ||
TMV7 | 1.00 | 1.00 | 1.00 | 13 | ||
TMV9 | 1.00 | 1.00 | 1.00 | 11 |