Table 5 Comparison of single classifiers in predicting label 1
From: Detecting diseases in medical prescriptions using data mining methods
Classification techniques | Accuracy | Kappa score |
|---|---|---|
KNN | 58.95% | 0.586 |
Decision Tree | 58.67% | 0.581 |
Random Forest | 56.68% | 0.564 |
Naïve Bayes | 59.09% | 0.585 |