Table 3: Classification results of different datasets using linear formula.
| Dataset |
Classification Results(%) |
SVM |
FSVM-1 |
Proposed FSVM-2 |
| linear |
exponential |
linear |
exponential |
| Wine |
GM |
64.06 |
0 |
64.06 |
64.06 |
64.06 |
| SE |
57.00 |
0 |
57.00 |
57.00 |
57.00 |
| SP |
72.00 |
100.00 |
72.00 |
72.00 |
72.00 |
| Transfusion |
GM |
44.36 |
32.31 |
44.40 |
53.36 |
50.02 |
| SE |
88.14 |
97.86 |
88.29 |
85.43 |
86.29 |
| SP |
22.33 |
10.67 |
22.33 |
33.33 |
29.00 |
| Haberman |
GM |
44.88 |
17.25 |
44.94 |
50.30 |
50.75 |
| SE |
79.00 |
99.20 |
79.20 |
74.40 |
69.60 |
| SP |
25.50 |
3.00 |
25.50 |
34.00 |
37.00 |
| Pima |
GM |
69.00 |
0 |
69.00 |
69.00 |
69.00 |
| SE |
99.20 |
100.00 |
99.20 |
99.20 |
99.20 |
| SP |
48.00 |
0 |
48.00 |
48.00 |
48.00 |
| Quality |
GM |
71.70 |
59.35 |
71.75 |
71.12 |
72.53 |
| SE |
66.43 |
41.61 |
66.43 |
70.00 |
68.39 |
| SP |
77.38 |
84.64 |
77.50 |
72.26 |
76.90 |