Research Article
Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques
Table 5
Parameter optimization settings.
| Model | Parameter | Optimal value | Exp. 1 | Exp. 2 | Exp. 3 |
| SVM | Kernel | Linear | RBF | RBF | Cost | 20 | 1 | 1 |
| RF | Iterations | 962 | 68 | 120 | Batch size | 100 | 100 | 100 | Features | 0 | 0 | 0 |
| J48 | Binary split | False | True | False | Confidence factor | 0.25 | 0.15 | 0.25 |
| NB | Kernel estimator | False | True | True | Supervised discretization | True | False | False |
| LR | Maxlts | −1 | −1 | −1 | Ridge | 1.0E-8 | 1.0E-8 | 1.0E-8 |
| Bagging | Classifier | REPTree | | | Iterations | 20 | 32 | 49 | bagSizePercent | 100 | 100 | 100 |
| Threshold selector | Classifier | Logistic | | | Designated class | Class value name | First class value | | Measure | F-measure | Accuracy | |
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