1. Adapted from: Prof. Pedro Larrañaga Technical University of Madrid
Weka
Adapted from: Prof. Pedro Larrañaga
Technical University of Madrid

2. Preprocess

3. Open a file

4. Edit a file

5. Visualize a variable

6. Visualizing pairs of variables

7. Missing values

8. Discretize with Equal Frequency

9. Proportional k-interval discretization

10. FSS:
Ranking Variables using Mutual Information

11. Filter FSS: CFS

12. Supervised Classification Paradigms

13. Assesing performance

14. Assesing performance

15. Classification Trees: ID3, J48 (C4.5)

16. ID3

17. ID3

18. J48 (C4.5)

19. J48 (C4.5)

20. K-NN = Lazy

21. IB1

22. IBk

23. Bayesian classifiers

24. Naive Bayes

25. Naive Bayes