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Table 11 Evaluation of best classifiers for label 1 of the dataset

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