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Table 1 Effects of sample size on QDF for correlated normal based on error rates, CV and SD

From: Robustness of the Quadratic Discriminant Function to correlated and uncorrelated normal training samples

Centroid Sample size (n) SD CV Mean error rate
\(\delta = 1\) 90 0.0530 0.04276 0.1240
180 0.0536 0.04656 0.1151
300 0.0543 0.04853 0.1120
450 0.0547 0.04903 0.1116
750 0.0534 0.04908 0.1089
900 0.0526 0.04857 0.1082
1200 0.0524 0.04868 0.1077
1500 0.0529 0.04893 0.1081
1800 0.0526 0.04881 0.1077
2100 0.0531 0.04913 0.1080
6000 0.0524 0.04898 0.1069
\(\delta = 2\) 90 0.0447 0.05084 0.0880
180 0.0402 0.05215 0.0771
300 0.0384 0.05224 0.0735
450 0.0394 0.05439 0.0724
750 0.0370 0.05172 0.0715
900 0.0370 0.05217 0.0710
1200 0.0369 0.05249 0.0703
1500 0.0367 0.05191 0.0707
1800 0.0372 0.05265 0.0706
2100 0.0367 0.05222 0.0702
6000 0.0365 0.05234 0.0698
\(\delta = 3\) 90 0.0300 0.6047 0.0479
180 0.0264 0.5983 0.0442
300 0.0245 0.5940 0.0412
450 0.0239 0.5907 0.0495
750 0.0232 0.5780 0.0401
900 0.0230 0.5763 0.0400
1200 0.0226 0.5708 0.0396
1500 0.0225 0.5727 0.0393
1800 0.0223 0.5682 0.0393
2100 0.0226 0.5728 0.0395
6000 0.0224 0.5698 0.0393
\(\delta = 4\) 90 0.0200 0.7509 0.0266
180 0.0159 0.7195 0.0221
300 0.0144 0.6727 0.0215
450 0.0139 0.6732 0.0207
750 0.0135 0.6574 0.0205
900 0.0131 0.6455 0.0203
1200 0.0124 0.6286 0.0198
1500 0.0126 0.6353 0.0199
1800 0.0128 0.6301 0.0203
2100 0.0128 0.6382 0.0201
6000 0.0125 0.6284 0.0200
\(\delta = 5\) 90 0.0123 0.9798 0.0126
180 0.0094 0.8717 0.0108
300 0.0084 0.8252 0.0102
450 0.0078 0.7838 0.0100
750 0.0071 0.7489 0.0095
900 0.0069 0.7399 0.0093
1200 0.0070 0.7158 0.0098
1500 0.0066 0.7058 0.0093
1800 0.0066 0.7016 0.0093
2100 0.0065 0.7002 0.0093
6000 0.0064 0.6843 0.0094