Table 3 The used data splitting methods and number of repetitions for each classifier method
NO. | Classifier | Data splitting method | Number of repetitions |
|---|---|---|---|
1 | ANFIS | Three-way | 50 |
2 | MLP | Three-way | 100 |
3 | RBF | Three-way | 1000 |
4 | Bagging ID3 | Three-way | 1000 |
5 | ID3 | Two-way | 1000 |
6 | GLM | Two-way | 1000 |
7 | k-NN | Two-way | 1000 |
8 | Naive Bayes | Two-way | 1000 |