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Ten-fold cross-validation results of the ML models in the estimation of complete response.
| Model Type | Accuracy % | F1 Score % |
|---|---|---|
| Ensemble | 68.89 | 75.44 |
| Neural Network | 66.11 | 74.26 |
| SVM | 66.11 | 74.69 |
| KNN | 65.56 | 72.81 |
| Naive Bayes | 65.00 | 75.1 |
| BGLM Logistic Regression | 65.00 | 72.96 |
| Efficient Logistic Regression | 63.33 | 72.5 |
| Discriminant | 61.11 | 69.03 |
| Efficient Linear SVM | 61.11 | 71.77 |
| Tree | 60.00 | 72.73 |
The most successful model is marked in bold.
