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Weka explorer tutorial, Exercises of Accounting

Aston UniversityAccounting

kjkodio - kjkodio

Typology: Exercises

2015/2016

Uploaded on 09/19/2016

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.21351 🇬🇧

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Department of Computer Science,
University of Waikato, New Zealand
Eibe Frank
WEKA: A Machine
Learning Toolkit
The Explorer
•Classification and
Regression
•Clustering
•Association Rules
•Attribute Selection
•Data Visualization
The Experimenter
The Knowledge
Flow GUI
Conclusions
Machine Learning with
WEKA
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Department of Computer Science,

University of Waikato, New Zealand

Eibe Frank

WEKA: A Machine Learning Toolkit  (^) The Explorer

  • (^) Classification and

Regression

  • (^) Clustering
  • (^) Association Rules
  • (^) Attribute Selection
  • (^) Data Visualization  (^) The Experimenter  (^) The Knowledge Flow GUI  (^) Conclusions Machine Learning with WEKA

WEKA: the bird

Copyright: Martin Kramer ([email protected])

WEKA: versions

There are several versions of WEKA:

 WEKA 3.0: “book version” compatible with

description in data mining book

 WEKA 3.2: “GUI version” adds graphical user

interfaces (book version is command-line only)

 WEKA 3.3: “development version” with lots of

improvements

This talk is based on the latest snapshot of WEKA

3.3 (soon to be WEKA 3.4)

@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}

@data

63,male,typ_angina,233,no,not_present

67,male,asympt,286,yes,present

67,male,asympt,229,yes,present

38,female,non_anginal,?,no,not_present

WEKA only deals with “flat” files

Explorer: pre-processing the data

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)

Pre-processing tools in WEKA are called “filters”

WEKA contains filters for:

 Discretization, normalization, resampling, attribute

selection, transforming and combining attributes, …