Table 5.
Algoritm | Features | 5-Fold Cross-Validation | Test | Total | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Acc. | Recall | Pre. | F1-Sc. | Acc. | Recall | Pre. | F1-Sc. | Acc. | Recall | Pre. | F1-Sc. | ||
Medium tree | a4, a6, a7 | 99.63 | 98.26 | 99.30 | 98.77 | 99.57 | 97.59 | 100 | 98.78 | 99.62 | 98.11 | 99.45 | 98.78 |
a3–a7, a9, a11, a12 | 99.63 | 98.26 | 99.30 | 98.77 | 99.57 | 97.59 | 100 | 98.78 | 99.62 | 98.11 | 99.45 | 98.78 | |
a4, a6 | 99.36 | 97.91 | 97.91 | 97.91 | 99.79 | 98.80 | 100 | 99.39 | 99.45 | 98.11 | 98.37 | 98.24 | |
Bilayered neural network | a3–a7, a9, a11, a12 | 99.41 | 97.21 | 98.94 | 98.07 | 99.57 | 97.59 | 100 | 98.78 | 99.45 | 97.30 | 99.17 | 98.23 |
Narrow neural network | a4, a6, a7, a9 | 99.36 | 97.21 | 98.59 | 97.89 | 99.79 | 98.80 | 100 | 99.39 | 99.45 | 97.57 | 98.90 | 98.23 |
Quadratic SVM | a4–a7 | 99.36 | 96.17 | 99.64 | 97.87 | 99.57 | 97.59 | 100 | 98.78 | 99.40 | 96.49 | 99.72 | 98.08 |
Medium neural network | a4–a7 | 99.36 | 98.26 | 97.58 | 97.92 | 99.36 | 96.39 | 100 | 98.16 | 99.36 | 97.84 | 98.10 | 97.97 |