From: Detecting diseases in medical prescriptions using data mining methods
Base learner/ Meta learner | Decision tree, Random Forest, NaĂŻve Bayes / KNN | Random Forest, NaĂŻve Bayes, KNN / Decision tree | Decision tree, NaĂŻve Bayes, KNN / Random Forest |
---|---|---|---|
Parameters | - Maximal depth = 10 - Number of trees = 62 - Laplace correction - K = 6 | - Number of trees = 62 - Laplace correction - K = 3 - Maximal depth = 10 | - Maximal depth = 10 - Laplace correction - K = 9 - Number of trees = 54 |
Accuracy | 54.29% | 57.14% | 61.60% |
Kappa score | 0.532 | 0.562 | 0.613 |