Table 6.

Rank of blue channel classifiers by performance analysis

	ANN1	ANN2	ANN3	DA1	DA2	SVM1	SVM2	SVM3	SVM4
RMSE	0.863 (8)	0.858 (7)	0.851 (6)	0.827 (4)	0.866 (9)	0.803 (3)	0.848 (5)	0.791 (1)	0.792 (2)
NRMSE	0.888 (8)	0.883 (7)	0.876 (6)	0.851 (4)	0.891 (9)	0.826 (3)	0.873 (5)	0.814 (1)	0.815 (2)
|με|	0.063 (9)	0.058 (7)	0.063 (8)	0.024 (2)	0.029 (4)	0.043 (6)	0.029 (3)	0.018 (1)	0.036 (5)
σ ε	0.862 (8)	0.858 (7)	0.851 (6)	0.830 (4)	0.868 (9)	0.805 (3)	0.851 (5)	0.793 (1)	0.794 (2)
ACC	0.813 (8)	0.816 (7)	0.818 (6)	0.829 (4)	0.813 (9)	0.839 (3)	0.820 (5)	0.844 (1)	0.843 (2)
TPR	0.876 (2)	0.876 (3)	0.880 (1)	0.853 (7)	0.838 (9)	0.854 (6)	0.844 (8)	0.868 (4)	0.860 (5)
FPR	0.291 (9)	0.284 (8)	0.284 (7)	0.212 (4)	0.230 (6)	0.186 (2)	0.221 (5)	0.197 (3)	0.186 (1)
SPC	0.709 (9)	0.716 (8)	0.716 (7)	0.788 (4)	0.770 (6)	0.814 (2)	0.779 (5)	0.803 (3)	0.814 (1)
PPV	0.834 (9)	0.838 (8)	0.838 (7)	0.870 (4)	0.858 (6)	0.884 (2)	0.864 (5)	0.880 (3)	0.885 (1)
NPV	0.775 (5)	0.776 (4)	0.782 (2)	0.763 (7)	0.741 (9)	0.770 (6)	0.750 (8)	0.784 (1)	0.777 (3)
FDR	0.166 (9)	0.162 (8)	0.162 (7)	0.130 (4)	0.142 (6)	0.116 (2)	0.136 (5)	0.120 (3)	0.115 (1)
MCC	0.597 (9)	0.602 (8)	0.608 (6)	0.638 (4)	0.604 (7)	0.661 (3)	0.619 (5)	0.668 (2)	0.669 (1)
F 1	0.854 (8)	0.856 (6)	0.858 (5)	0.862 (4)	0.848 (9)	0.869 (3)	0.854 (7)	0.874 (1)	0.873 (2)
BER	0.208 (9)	0.204 (8)	0.202 (7)	0.179 (4)	0.196 (6)	0.166 (3)	0.188 (5)	0.165 (2)	0.163 (1)
AUC	0.792 (9)	0.796 (8)	0.798 (7)	0.821 (4)	0.804 (6)	0.834 (3)	0.812 (5)	0.835 (2)	0.837 (1)
κ	0.595 (9)	0.600 (8)	0.606 (6)	0.637 (4)	0.603 (7)	0.660 (3)	0.619 (5)	0.668 (2)	0.668 (1)
Avg.	8.00	7.00	5.88	4.24	7.41	3.29	5.35	1.88	1.94

The data in boldface indicates the best ranked method of each row, with the exception of the last row, which indicates the best three classifiers.