Testing-Evaluation of three predictive model.
| Sr. No. | Predictive Model | Evaluation Parameter | |||||
|---|---|---|---|---|---|---|---|
| Accuracy | Precision | Sensitivity | Specificity | F1 Score | AUC | ||
| 1 | Logistic Regression | 88.50% | 83.11% | 91.79% | 86.03% | 0.87 | 0.88 |
| 2 | Decision Tree | 92.59% | 97.29% | 90.11% | 97.38% | 0.93 | 0.94 |
| 3 | Random Forest | 93.61% | 94.59% | 92.11% | 95.03% | 0.93 | 0.95 |
| Sr. No. | Predictive Model | Evaluation Parameter | |||||
|---|---|---|---|---|---|---|---|
| Accuracy | Precision | Sensitivity | Specificity | F1 Score | AUC | ||
| 1 | Logistic Regression | 88.50% | 83.11% | 91.79% | 86.03% | 0.87 | 0.88 |
| 2 | Decision Tree | 92.59% | 97.29% | 90.11% | 97.38% | 0.93 | 0.94 |
| 3 | Random Forest | 93.61% | 94.59% | 92.11% | 95.03% | 0.93 | 0.95 |
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