TABLE 4. Classification Based on HBC Features for LFA.
Accuracy (%) | ||||||
---|---|---|---|---|---|---|
Classifiers | (10,45) | (15,30) | (30,15) | (45,10) | (90,5) | Mean ± SD |
SVM | 92.69 | 91.44 | 92.96 | 94.44 | 90.00 | 92.31 ± 1.67 |
KNN | 87.44 | 84.21 | 89.54 | 86.11 | 75.28 | 84.52 ± 5.52 |
LDA | 92.59 | 93.47 | 93.06 | 92.78 | 91.11 | 92.60 ± 0.90 |
DT | 86.54 | 84.77 | 85.28 | 82.78 | 83.89 | 84.65 ± 1.42 |
NB | 89.14 | 88.19 | 80.19 | 85.97 | 80.56 | 84.81 ±4.21 |
LSTM | 95.80 | 94.81 | 94.17 | 92.92 | 93.06 | 94.15 ± 1.21 |