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Enlarging the Margins in Perceptron Decision Trees

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Figure

Figure 1: A Perceptron Decision Tree and the way it splits the input space
Figure 2: Comparison of the 10-fold CV results of FAT versus OC1. If the point is above theline, it indicates the 10-fold CV mean of FAT is higher than that of OC1, and vice versa
Figure 3: Comparison of the 10-fold CV results of MOC1 versus OC1. If the point is abovethe line, it indicates the 10-fold CV average of MOC1 is higher than that of OC1, andvice versa
Figure 4: Comparison of the 10-fold CV results of MOC2 versus OC1. If the point is abovethe line, it indicates the 10-fold CV mean of MOC2 is higher than that of OC1 on that dataset, and vice versa
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