1. Weka

2. Preprocessing

3. Opening a file

4. Editing a file Visualize a variable

5. Visualizing pairs of variables

6. Missing values

7. Discretizing with equalfrequency

8. Proportional k-interval discretization

9. FSS: ranking variables with mutual information

10. FSS

11. Filter FSS: CFS

12. Supervised classification paradigms

13. Assessing performance

15. Bayesian classifiers

16. Naive Bayes

18. TAN

21. K-NN = Lazy

22. IB1

23. IBk

24. Rule induction

25. RIPPER

27. Classification trees: ID3, J48 (C4.5)

28. ID3

30. J48 (C4.5)

32. Logistic regression

34. Exercise Id3 All variables FSS1 FSS2 C4.5 RIPPER Naive Bayes TAN Logistic IB1 IBk

35. Clustering

37. Bayesian networks

38. Bayesian networks (inference?)