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Weka

Adapted from: Prof. Pedro Larrañaga Technical University of Madrid. Weka. Preprocess. Open a file. Edit a file. Visualize a variable. Visualizing pairs of variables. Missing values. Discretize with Equal Frequency. Proportional k-interval discretization. FSS:

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Weka

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

  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-intervaldiscretization

  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

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