Machine Learning
Due: 6 13 February 2019 at the beginning of class
- Study WEKA toolset. Read WEKA Machine Learning Algorithms in Java (tutorial.pdf in WEKA distribution).
- Answer the following questions. Follow the general
homework directions.
- Decision Tree Problem: This question is open ended. Using the decision tree algorithms available in WEKA
(there is at least J48). Use the breast-cancer.arff, diabetes.arff, soybean.arff, and vote.arff databases from the WEKA data folder to test the decision tree algorithms. Report whatever you think is important, but minimally
how you divided the databases into training and testing sets, the
training and testing results from each experiment you ran (not just
the best), and the size and structure of the generated trees.
- Decision Tree Problem: This question is open ended. Using the decision tree algorithms available in WEKA
(there is at least J48). Use the breast-cancer.arff, diabetes.arff, soybean.arff, and vote.arff databases from the WEKA data folder to test the decision tree algorithms. Report whatever you think is important, but minimally
how you divided the databases into training and testing sets, the
training and testing results from each experiment you ran (not just
the best), and the size and structure of the generated trees.