Training-Evaluation of three predictive model.
| Sr. No. | Predictive Model | Evaluation Parameter | |||||
|---|---|---|---|---|---|---|---|
| Accuracy | Precision | Sensitivity | Specificity | F1 Score | AUC | ||
| 1 | Logistic Regression | 89.67% | 90.04% | 88.72% | 90.58% | 0.89 | 0.91 |
| 2 | Decision Tree | 91.27% | 98.23% | 85.26% | 98.90% | 0.91 | 0.94 |
| 3 | Random Forest | 98.64% | 99.67% | 97.56% | 99.68% | 0.99 | 1 |
| Sr. No. | Predictive Model | Evaluation Parameter | |||||
|---|---|---|---|---|---|---|---|
| Accuracy | Precision | Sensitivity | Specificity | F1 Score | AUC | ||
| 1 | Logistic Regression | 89.67% | 90.04% | 88.72% | 90.58% | 0.89 | 0.91 |
| 2 | Decision Tree | 91.27% | 98.23% | 85.26% | 98.90% | 0.91 | 0.94 |
| 3 | Random Forest | 98.64% | 99.67% | 97.56% | 99.68% | 0.99 | 1 |
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