Table 6.
Performance of predictive models for air quality and noise levels.
| Model | Precision | Sensitivity | Specificity |
|---|---|---|---|
| CNN | 92% | 89% | 94% |
| Decision Trees | 88% | 86% | 90% |
| Linear Regression | 85% | 82% | 88% |
| SVM | 91% | 88% | 93% |
| Random Forest | 93% | 90% | 95% |
Performance of predictive models for air quality and noise levels.
| Model | Precision | Sensitivity | Specificity |
|---|---|---|---|
| CNN | 92% | 89% | 94% |
| Decision Trees | 88% | 86% | 90% |
| Linear Regression | 85% | 82% | 88% |
| SVM | 91% | 88% | 93% |
| Random Forest | 93% | 90% | 95% |