Table 2. Confusion matrix analysis of partial least square-discriminant analysis to differentiate beef sausage, dog meat sausage, and beef sausage adulterated with dog meat
Class | Sample | Members | Correct (%) | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | No class (YPred≤0) |
1 | BS | 3 | 100 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 | 0.1DS | 3 | 100 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3 | 1DS | 3 | 100 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | 5DS | 3 | 100 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | 10DS | 3 | 100 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | 25DS | 3 | 100 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 |
7 | 50DS | 3 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 |
8 | 75DS | 3 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 |
9 | 100DS | 3 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 |
10 | QC | 6 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 |
Total | | 33 | 100 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 6 | 0 |
0.1DS, beef sausages adulterated with 0.1% DS; 5DS, beef sausages adulterated with 1% DS; 1DS, beef sausages adulterated with 5% DS; 10DS, beef sausages adulterated with 10% DS; 25DS, beef sausages adulterated with 25% DS; 50DS, beef sausages adulterated with 50% DS; 75DS, beef sausages adulterated with 75% DS; 100DS, sausages with 100% dog meat.
BS, beef sausages; DS, dog meat sausage; QC, quality control samples.