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

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Presentation transcript:

Weka

Preprocessing

Opening a file

Editing a file Visualize a variable

Visualizing pairs of variables

Missing values

Discretizing with equalfrequency

Proportional k-interval discretization

FSS: ranking variables with mutual information

FSS

Filter FSS: CFS

Supervised classification paradigms

Assessing performance

Bayesian classifiers

Naive Bayes

TAN

K-NN = Lazy

IB1

IBk

Rule induction

RIPPER

Classification trees: ID3, J48 (C4.5)

ID3

J48 (C4.5)

Logistic regression

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

Clustering

Bayesian networks

Bayesian networks (inference?)