– weka.classifiers.DecisionTable -R
Try using reduced error pruning for the C4.5. Did it change the produced model? Why?
For K-means, for the first run, set k=10. Adjust as needed. What was the final number of k? Why?
A) How many leaves did the Model tree produce? Regression Tree? What happens if you change the pruning factor?
How many clusters did you choose for the K-means method? Was that a good choice? Did you try a different value for k?
B) Now perform the same analysis on the bodyfat.arff data set.