A collection of open source ML algorithms ◦ pre-processing ◦ classifiers ◦ clustering ◦...

Weka - Tutorial

A collection of open source ML algorithms◦ pre-processing◦ classifiers◦ clustering◦ association rule

Created by researchers at the University of Waikato in New Zealand

Java based

WEKA:: Introduction

Download software fromhttp://www.cs.waikato.ac.nz/ml/weka/downloading.html

◦ Several options for windows, mac or linux◦ X86 (for 32-bit processors), x64( for 64-bit)

WEKA:: Installation

WEKA:: Interface

Uses flat text files to describe the data Can work with a wide variety of data files

including its own “.arff” format and C4.5 file formats

Data can be imported from a file in various formats: ◦ ARFF, CSV, C4.5, binary

Data can also be read from a URL or from an SQL database (using JDBC)

WEKA:: Data format

@relation heart-disease-simplified

@attribute age numeric@attribute sex { female, male}@attribute chest_pain_type { typ_angina, asympt, non_anginal, atyp_angina}@attribute cholesterol numeric@attribute exercise_induced_angina { no, yes}@attribute class { present, not_present}

@data63,male,typ_angina,233,no,not_present67,male,asympt,286,yes,present67,male,asympt,229,yes,present38,female,non_anginal,?,no,not_present

WEKA:: ARRF file format

A more thorough description is available here http://www.cs.waikato.ac.nz/~ml/weka/arff.html

A collection of open source ML algorithms ◦ pre-processing ◦ classifiers ◦ clustering ◦...

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Transcript of A collection of open source ML algorithms ◦ pre-processing ◦ classifiers ◦ clustering ◦...

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