Table 4 ET outcome of DCFNN-SOCVDC technique with recent models.
Model | ET (s) |
|---|---|
SMO classifier | 5.87 |
SVM | 8.27 |
Random forest | 7.98 |
K-Nearest | 7.48 |
EDLACNN | 7.34 |
Bagging algorithm | 6.97 |
ACVD-HBOMDL | 5.88 |
AOA method | 5.25 |
DCFNN model | 4.50 |
DCFNN-SOCVDC | 2.13 |
Model | ET (s) |
|---|---|
SMO classifier | 5.87 |
SVM | 8.27 |
Random forest | 7.98 |
K-Nearest | 7.48 |
EDLACNN | 7.34 |
Bagging algorithm | 6.97 |
ACVD-HBOMDL | 5.88 |
AOA method | 5.25 |
DCFNN model | 4.50 |
DCFNN-SOCVDC | 2.13 |