Adapted from: Prof. Pedro Larrañaga Technical University of Madrid

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Presentation transcript:

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

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: 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