Adapted from: Prof. Pedro Larrañaga
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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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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-intervaldiscretization


FSS:

Ranking Variables using Mutual Information


Filter FSS: CFS


Supervised Classification Paradigms


Assesing performance


Assesing performance


Classification Trees: ID3, J48 (C4.5)


ID3


ID3


J48 (C4.5)


J48 (C4.5)


K-NN = Lazy


IB1


IBk


Bayesian classifiers


Naive Bayes


Naive Bayes


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