TABLE 4. The Accuracy Score (in %) of the Different Optimized Classifiers Using 10-Fold Cross-Validation.
LDA | QLDA | KNN | NB | DT | RF | XGB | GBC | SVC | |
---|---|---|---|---|---|---|---|---|---|
Fold-1 | 76.03 | 20.39 | 68.16 | 82.11 | 89.98 | 95.44 | 95.98 | 89.09 | 94.10 |
Fold-2 | 75.45 | 20.16 | 69.62 | 83.96 | 89.61 | 96.33 | 96.24 | 92.03 | 95.25 |
Fold-3 | 78.87 | 20.05 | 67.68 | 80.75 | 91.23 | 96.87 | 96.69 | 92.66 | 95.17 |
Fold-4 | 78.23 | 20.88 | 67.47 | 80.91 | 91.40 | 96.95 | 96.77 | 92.12 | 95.61 |
Fold-5 | 76.28 | 23.37 | 69.29 | 82.27 | 90.15 | 96.96 | 96.96 | 91.67 | 95.70 |
Fold-6 | 76.81 | 19.88 | 66.97 | 82.27 | 91.76 | 96.42 | 96.60 | 91.14 | 94.36 |
Fold-7 | 78.27 | 20.48 | 66.19 | 79.79 | 89.18 | 96.60 | 97.23 | 89.54 | 93.92 |
Fold-8 | 77.15 | 22.76 | 68.19 | 81.81 | 91.31 | 96.42 | 97.22 | 90.23 | 95.43 |
Fold-9 | 77.06 | 21.77 | 67.38 | 81.45 | 91.22 | 96.06 | 96.42 | 90.68 | 95.70 |
Fold-10 | 78.09 | 24.51 | 67.62 | 80.59 | 90.16 | 96.60 | 96.87 | 89.27 | 94.72 |
Average | 77.22 | 21.43 | 67.86 | 81.59 | 90.60 | 96.46 | 96.70 | 90.84 | 95.00 |