Classifiers | FS algorithms | Accuracy | Precision | Recall | F-measure | Processing time in seconds |
---|---|---|---|---|---|---|
NB | FS-PSO | 80.2 | 80.29 | 80.26 | 80.28 | 11.4 |
FS-APSO | 80.8 | 80.79 | 80.8 | 80.79 | 1.14 | |
FS-ASAMO | 82.3 | 82.29 | 82.293 | 82.2 | 0.17 | |
MR-OFS-ABA | 83 | 82.99 | 82.9 | 82.99 | 0.05 | |
SVM | FS-PSO | 82.2 | 84.1 | 84.18 | 84.19 | 0.05 |
FS-APSO | 84.2 | 84.21 | 84.22 | 84.22 | 37.9 | |
FS-ASAMO | 84 | 84.24 | 84.2 | 84.2 | 2.69 | |
MR-OFS-ABA | 86.7 | 86.71 | 86.68 | 86.69 | 0.181 | |
HT | FS-PSO | 88.3 | 88.29 | 88.3 | 88.29 | 0.0392 |
FS-APSO | 89.4 | 89.4 | 89.42 | 89.41 | 0.0371 | |
FS-ASAMO | 89.4 | 89 | 89.4 | 89.41 | 0.04 | |
MR-OFS-ABA | 90.9 | 90.8 | 90.9 | 90.89 | 0.036 | |
FMCCSC-KNN | FS-PSO | 93.2 | 93.2 | 93.22 | 93.21 | 0.17 |
FS-APSO | 93.7 | 93.7 | 93.68 | 93.69 | 0.05 | |
FS-ASAMO | 94.6 | 94.62 | 94.57 | 94.6 | 0.05 | |
MR-OFS-ABA | 95.7 | 95.78 | 95.66 | 95.72 | 0.042 | |
EIDMLP | FS-PSO | 96.3 | 96.29 | 96.3 | 96.29 | 4.72 |
FS-APSO | 96.7 | 96.7 | 96.69 | 96.69 | 0.19 | |
FS-ASAMO | 98 | 98 | 97.99 | 97.99 | 0.05 | |
MR-OFS-ABA | 98.6 | 98.6 | 98.59 | 98.59 | 0.044 |