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| Algorithms | Mainly used options |
|---|---|
| Naïve Bayes [27] | No parameters |
| SVM [28] | polynomial kernel complexity = 1.0 epsilon = 1.0E-12 tolerance = 0.001 |
| ANN [29] (Multi-Layer Perceptron) |
hidden layer = 3 learning rate = 0.3 momentum = 0.2 number of epochs = 200 |
| PART [30] | minimum number of instances per rule = 2 confidence factor used for pruning = 0.25, seed = 1 |
