Research Article
Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm
Table 3
Machine learning method evaluation (scenario1).
| | Scenario 1 | Accuracy | roc_auc | Precision | Recall | fBeta |
| Logistic regression | 0.87 | 0.92 | 0.89 | 0.95 | 0.93 | Linear discriminant analysis | 0.86 | 0.89 | 0.88 | 0.93 | 0.92 | KNN | 0.89 | 0.92 | 0.91 | 0.93 | 0.92 | Decision tree | 0.85 | 0.83 | 0.90 | 0.89 | 0.89 | Random forest | 0.92 | 0.97 | 0.91 | 0.98 | 0.96 | Naive Bayes | 0.70 | 0.89 | 0.96 | 0.59 | 0.64 | SVM | 0.88 | 0.92 | 0.88 | 0.96 | 0.94 |
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