Table 2.
Testing results using six different classifier models for oil samples.
| Classifier. | Type | Sensitivity | Specificity | PPV | NPV | Accuracy |
|---|---|---|---|---|---|---|
| Quadratic discriminant |
Grapeseed oil | 1 | 0.2 | 1 | 0.7143 | 0.7333 |
| Peanut oil | 0.115 | 0.95 | 0.3493 | 0.8214 | 0.3933 | |
| Olive oil | 0.96 | 0 | 0 | 0.6575 | 0.64 | |
| Quadratic SVM |
Grapeseed oil | 1 | 1 | 1 | 1 | 1 |
| Peanut oil | 0.945 | 0.91 | 0.8922 | 0.9545 | 0.9333 | |
| Olive oil | 0.955 | 0.89 | 0.9082 | 0.9455 | 0.9333 | |
| Cubic SVM |
Grapeseed oil | 1 | 1 | 1 | 1 | 1 |
| Peanut oil | 0.855 | 0.4 | 0.5797 | 0.7403 | 0.7033 | |
| Olive oil | 0.7 | 0.71 | 0.542 | 0.8284 | 0.7033 | |
| Fine Tree |
Grapeseed oil | 1 | 1 | 1 | 1 | 1 |
| Peanut oil | 0.57 | 0.86 | 0.5 | 0.8906 | 0.6667 | |
| Olive oil | 0.93 | 0.14 | 0.5 | 0.6838 | 0.6667 | |
| KNN fine |
Grapeseed oil | 1 | 0.89 | 1 | 0.9479 | 0.9633 |
| Peanut oil | 0.86 | 0.54 | 0.6585 | 0.789 | 0.7533 | |
| Olive oil | 0.715 | 0.72 | 0.5581 | 0.8363 | 0.7167 |