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. 2021 Sep 30;11:19428. doi: 10.1038/s41598-021-98599-0

Table 2.

The accuracy for fivefold cross validation on the Raabin-WBC in order to find the optimal hyperparameters; RBF (radial basis function), Poly (polynomial with degree 3), C (regularization parameter), Neut-W (neutrophil-weight). The results shows that the SVM model with polynomial kernel, C = 6, and neutrophil-weight = 10 provides the best accuracy.

Kernel W C
C = 1 C = 2 C = 4 C = 6 C = 8 C = 10
Linear Neut-W = 1 92.93 ± 0.31 93.22 ± 0.41 93.48 ± 0.37 93.42 ± 0.30 93.52 ± 0.43 93.57 ± 0.35
Neut-W = 2 93.91 ± 0.18 94.08 ± 0.32 94.28 ± 0.37 94.29 ± 0.36 94.35 ± 0.42 94.36 ± 0.34
Neut-W = 5 94.51 ± 0.27 94.69 ± 0.49 94.99 ± 0.42 94.98 ± 0.39 94.95 ± 0.39 94.94 ± 0.34
Neut-W = 10 94.61 ± 0.24 94.68 ± 0.32 94.79 ± 0.35 94.92 ± 0.29 95.02 ± 0.32 95.03 ± 0.27
Neut-W = 15 94.49 ± 0.22 94.60 ± 0.24 94.73 ± 0.26 94.77 ± 0.29 94.87 ± 0.35 94.85 ± 0.30
Neut-W = 20 94.42 ± 0.23 94.55 ± 0.26 94.65 ± 0.26 94.67 ± 0.29 94.66 ± 0.33 94.70 ± 0.30
RBF Neut-W = 1 93.21 ± 0.26 93.63 ± 0.27 94.15 ± 0.37 94.34 ± 0.37 94.41 ± 0.35 94.50 ± 0.26
Neut-W = 2 94.33 ± 0.24 94.61 ± 0.22 95.02 ± 0.19 95.22 ± 0.27 95.35 ± 0.27 95.36 ± 0.29
Neut-W = 5 95.10 ± 0.26 95.41 ± 0.30 95.67 ± 0.31 95.73 ± 0.31 95.87 ± 0.41 95.87 ± 0.37
Neut-W = 10 94.95 ± 0.35 95.24 ± 0.40 95.54 ± 0.29 95.66 ± 0.28 95.84 ± 0.32 95.85 ± 0.35
Neut-W = 15 94.89 ± 0.24 95.23 ± 0.30 95.58 ± 0.26 95.64 ± 0.28 95.75 ± 0.34 95.82 ± 0.36
Neut-W = 20 94.79 ± 0.25 95.14 ± 0.27 95.54 ± 0.21 95.61 ± 0.31 95.78 ± 0.36 95.79 ± 0.41
Poly Neut-W = 1 94.18 ± 0.42 94.47 ± 0.51 94.77 ± 0.34 94.90 ± 0.31 94.90 ± 0.29 94.92 ± 0.34
Neut-W = 2 95.20 ± 0.27 95.37 ± 0.46 95.56 ± 0.34 95.61 ± 0.28 95.56 ± 0.30 95.59 ± 0.40
Neut-W = 5 95.72 ± 0.42 95.75 ± 0.47 96.00 ± 0.44 95.99 ± 0.46 95.91 ± 0.49 95.88 ± 0.50
Neut-W = 10 95.52 ± 0.39 95.68 ± 0.41 95.95 ± 0.44 96.01 ± 0.42 95.91 ± 0.39 95.94 ± 0.41
Neut-W = 15 95.50 ± 0.36 95.61 ± 0.43 95.89 ± 0.41 95.98 ± 0.36 95.90 ± 0.30 95.87 ± 0.40
Neut-W = 20 95.45 ± 0.34 95.53 ± 0.35 95.80 ± 0.29 95.95 ± 0.38 95.87 ± 0.33 95.83 ± 0.40

Bold values Illustrate the best-obtained value.