Research Article
Machine Learning Technology-Based Heart Disease Detection Models
Table 2
Confusion metrics analysis for applying classifier.
| Model name | Label | Predictive negative | Predictive positive |
| Naïve Bayes and weighted approach | Actual negative | 6314 | 6214 | Actual positive | 5076 | 5142 |
| 2 SVM’s and XGBoost | Actual negative | 6314 | 6014 | Actual positive | 5410 | 5142 |
| SVM and DO | Actual negative | 5897 | 5001 | Actual positive | 4517 | 4221 |
| XGBoost | Actual negative | 5794 | 5001 | Actual positive | 4876 | 4221 |
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