Install the latest version of WEKA1 and also download under Datasets the datasets from the UCI Repository. Compare different classifiers on the dataset diabetes.arff:
Support Vector Machine
Briefly describe each classifier in 2-3 sentences (you can find details in the lecture notes for Computational Intelligence).
Split the dataset into a training and a test set using Percentage Split: 66 %. Try for each classifier to find good parameter values to optimize the performance on the test set. Document the used parameter values and explain why you chose them.
Compare the classifiers on the dataset and describe pros and cons of the algorithms (regarding training error, test error, time for learning, parameter tuning, ...). Explain which classifier you would recommend for this problem.