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Weka. Preprocessing Opening a file Editing a file Visualize a variable.

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Presentation on theme: "Weka. Preprocessing Opening a file Editing a file Visualize a variable."— Presentation transcript:

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

14

15 Bayesian classifiers

16 Naive Bayes

17

18 TAN

19

20

21 K-NN = Lazy

22 IB1

23 IBk

24 Rule induction

25 RIPPER

26

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

28 ID3

29

30 J48 (C4.5)

31

32 Logistic regression

33

34 Combining classifiers

35

36

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

38 Exercise AdaBoostM1 Bagging Stacking Vote All variables FSS1 FSS2 LBR LMT NBTree RandomForest RandomTree


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