Research Article
Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm
Table 4
Machine learning method evaluation (scenario2).
| | Scenario 2 | | Accuracy | roc_auc | Precision | Recall | fBeta |
| | Logistic regression | 0.88 | 0.96 | 0.89 | 0.93 | 0.92 | | Linear discriminant analysis | 0.86 | 0.91 | 0.88 | 0.91 | 0.90 | | KNN | 0.89 | 0.94 | 0.89 | 0.94 | 0.93 | | Decision tree | 0.89 | 0.88 | 0.91 | 0.91 | 0.91 | | Random forest | 0.95 | 0.99 | 0.96 | 0.96 | 0.96 | | Naive Bayes | 0.81 | 0.92 | 0.95 | 0.75 | 0.78 | | SVM | 0.89 | 0.96 | 0.89 | 0.94 | 0.93 |
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