Encoding algorithm | k-mer | Classification model | Metrics | Datasets (%) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Test-1 | Test-2 | Test-3a | Test-3b | Test-4 | Test-5 | Test-6 | Human Coronavirus | ||||
PC-mer | 12 | Linear SVM | Accuracy | 97.25 | 95.93 | 98.52 | 100 | 100 | 99.33 | 100 | 100 |
F1 | 97.23 | 95.9 | 98.49 | 100 | 100 | 99.36 | 100 | 100 | |||
Precision | 97.38 | 96.16 | 98.85 | 100 | 100 | 99.55 | 100 | 100 | |||
Recall | 97.25 | 95.93 | 98.52 | 100 | 100 | 99.33 | 100 | 100 | |||
FCGR | 7 | LD | Accuracy | 91.7 | 91.2 | 98.1 | 100 | 97.6 | 98.6 | 100 | - |
LSVM | 90.8 | 89.2 | 94.2 | 93.3 | 98.4 | 97.4 | 100 | - | |||
QSVM | 95 | 93.1 | 95.2 | 93.3 | 98.4 | 97.4 | 100 | - | |||
FKNN | 93.4 | 90.3 | 95.7 | 95 | 97.6 | 97.4 | 100 | - | |||
SD | 87.6 | 89 | 97.6 | 95 | 98.4 | 98.7 | 100 | - | |||
SKNN | 93.2 | 90.4 | 96.2 | 95 | 97.2 | 96.1 | 100 | - | |||
Average accuracy | 92 | 90.5 | 96.2 | 95.3 | 97.6 | 97.5 | 100 | - |