Table 5 Evaluation of performance metrics of the proposed model.
From: Optimizing brain stroke detection with a weighted voting ensemble machine learning model
Model | Precision (%) | Recall (%) | F1-Score (%) | Accuracy (%) |
|---|---|---|---|---|
Logistic regression | 76 | 74 | 75 | 77 |
Support vector machines | 86 | 70 | 71 | 77 |
Decision tree | 83 | 60 | 57 | 69 |
Random forest | 90 | 80 | 82 | 85 |
Gradient tree boosting | 86 | 70 | 71 | 77 |
K-nearest neighbor | 76 | 74 | 75 | 76 |
Naive bayes | 76 | 74 | 75 | 76 |
Proposed model | 94 | 90 | 92 | 92 |
