Fig. 1. The decision tree built from the training dataset. The bar at the bottom of the figure indicates the proportion of each class in the leaf node.
Table 1. Details of the features remained after pre-processing.
Table 2. The classification results of the decision tree
Table 3. 14 rules generated from the decision tree.
Table 4. Comparison of the four algorithms