Table 5 Statistical Significance Testing Using 95% Confidence Intervals.
From: Clustering-cum-regression based model and performance analysis for early prediction of heart disease
Model | Accuracy | 95% CI (Lower) | 95% CI (Upper) |
|---|---|---|---|
Decision Tree Regression | 0.7647 | 0.6639 | 0.8655 |
K-Nearest Neighbor | 0.7794 | 0.6809 | 0.8780 |
Support Vector Machine | 0.7941 | 0.6980 | 0.8902 |
Kernel SVM | 0.7794 | 0.6809 | 0.8780 |
Logistic Regression | 0.7941 | 0.6980 | 0.8902 |
Naïve Bayes | 0.7794 | 0.6809 | 0.8780 |
Random Forest Regression | 0.7671 | 0.6702 | 0.8641 |
Random Forest + K-Means | 0.9118 | 0.8443 | 0.9792 |
