Research Article
Comparison of Machine Learning Classification Methods for Determining the Geographical Origin of Raw Milk Using Vibrational Spectroscopy
Table 2
Statistical parameters obtained by the PCA-LDA method.
| Confusion matrix | Actual | Sensitivity (%) | Specificity (%) | % CCR | R1 | R2 | R3 | R4 |
| Raw | ā | R1 | 24 | 0 | 0 | 0 | 100 | 100 | 99.5 | R2 | 0 | 24 | 0 | 0 | 100 | 100 | R3 | 0 | 0 | 28 | 1 | 100 | 100 | R4 | 0 | 0 | 0 | 24 | 100 | 98.7 |
| Detrend polynomial 1 | Predicted | R1 | 24 | 0 | 0 | 0 | 100 | 100 | 100 | R2 | 0 | 24 | 0 | 0 | 100 | 100 | R3 | 0 | 0 | 28 | 0 | 100 | 100 | R4 | 0 | 0 | 0 | 25 | 100 | 100 |
| Detrend polynomial 2 | ā | R1 | 24 | 0 | 0 | 0 | 100 | 100 | 98.5 | R2 | 0 | 24 | 0 | 0 | 100 | 100 | R3 | 0 | 0 | 28 | 3 | 100 | 100 | R4 | 0 | 0 | 0 | 22 | 100 | 96.2 |
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