Skip to main content

Table 2 Effects of sample size on QDF for uncorrelated 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 0.0681 0.3483 0.1955
180 0.0641 0.3920 0.1636
300 0.0603 0.3965 0.1522
450 0.0603 0.4092 0.1473
750 0.0575 0.4059 0.1417
900 0.0573 0.4065 0.1409
1200 0.1387 0.4096 0.1387
1500 0.0571 0.4114 0.1388
1800 0.0567 0.4123 0.1374
2100 0.0567 0.4129 0.1374
6000 0.0559 0.4116 0.1359
\(\delta = 2\) 90 0.0524 0.3968 0.1321
180 0.0469 0.4222 0.1111
300 0.0421 0.4062 0.1037
450 0.0424 0.4251 0.0997
750 0.0409 0.4218 0.0970
900 0.0415 0.4313 0.0962
1200 0.0402 0.4209 0.0955
1500 0.0398 0.4219 0.0944
1800 0.0400 0.4230 0.0946
2100 0.0399 0.4239 0.0940
6000 0.0394 0.4223 0.0934
\(\delta = 3\) 90 0.0345 0.4200 0.0823
180 0.0296 0.4341 0.0683
300 0.0277 0.4417 0.0028
450 0.0263 0.4395 0.0599
750 0.0256 0.4372 0.0586
900 0.0257 0.4385 0.0586
1200 0.0255 0.4393 0.0581
1500 0.0253 0.4386 0.0578
1800 0.0248 0.4330 0.0573
2100 0.0250 0.4361 0.0574
6000 0.0249 0.4380 0.0568
\(\delta = 4\) 90 0.0236 0.4866 0.0486
180 0.0189 0.4991 0.0379
300 0.0173 0.4889 0.0354
450 0.0160 0.4802 0.0334
750 0.0158 0.4815 0.0327
900 0.0153 0.4744 0.0323
1200 0.0151 0.4725 0.0319
1500 0.0151 0.4728 0.0318
1800 0.0147 0.4660 0.0315
2100 0.0147 0.4663 0.0315
6000 0.0146 0.4656 0.0313
\(\delta = 5\) 90 0.0156 0.5989 0.0260
180 0.0121 0.5892 0.0205
300 0.0098 0.5613 0.0174
450 0.0093 0.5367 0.0173
750 0.0090 0.5507 0.0163
900 0.0085 0.5262 0.0161
1200 0.0085 0.5260 0.0162
1500 0.0085 0.5272 0.0161
1800 0.0083 0.5182 0.0160
2100 0.0083 0.5221 0.0159
6000 0.0081 0.5109 0.0158