Table 15 Comparison of single classifiers in predicting label 2
From: Detecting diseases in medical prescriptions using data mining methods
Classification techniques | Accuracy | Kappa score |
|---|---|---|
KNN | 67.81% | 0.657 |
Decision Tree | 67.61% | 0.649 |
Random Forest | 65.24% | 0.618 |
Naïve Bayes | 68.73% | 0.657 |
Stacking | 74.39% | 0.720 |