Introduction of Weka

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Introduction of Weka

Introduction of Weka

OutlineIntroductionTake a tourInput & output format

Introduction of Weka

What’s WekaWaikato Environment for Knowledge

Analysis (WEKA)Developed by the Department of Computer

Science, University of Waikato, New Zealand

Machine learning/data mining software written in Java (distributed under the GNU Public License)

Used for research, education, and applications

Introduction of Weka

Weka Homepagehttp://www.cs.waikato.ac.nz/ml/weka/

To download WEKA 3.6.3:http://sourceforge.net/projects/weka/files/wek

a-3-6-windows/3.6.3/weka-3-6-3.exe/download

Introduction of Weka

Installation WekaTo run:

weka-3-6-3.exe

Introduction of Weka

Main Features Schemes for classification include:

decision trees, rule learners, naive Bayes, decision tables, locally weighted regression, SVMs, instance-based learners, logistic regression, voted perceptrons, multi-layer perceptron

Schemes for numeric prediction include: linear regression, model tree generators, locally weighted

regression, instance-based learners, decision tables, multi-layer perceptron

Meta-schemes include: Bagging, boosting, stacking, regression via classification,

classification via regression, cost sensitive classification Schemes for clustering:

EM and CobwebSchemes for feature selection:

Ranker….

Introduction of Weka

Take a tourGetting startStart All Programs Weka 3.6.3 Weka

3.6

Click to Start a Tour!

Introduction of Weka

Take a tour Weka Explorer Screenshot

FilterLoad

Feature Info

Label Info

Introduction of Weka

Take a tourClick “Open file” ;Choose “Weka-3.6/data/*.arff”;Click “Open”.

Introduction of Weka

Take a tour FilterFilters can be used to change data files;AttributeSelection lets you select a set of

attributes;

Other filtersDiscretize: Discretizes a range of numeric

attributes in the dataset into nominal attributes;NominalToBinary: Converts nominal attributes

into binary ones, replacing each attribute with k values with k-1 new binary attributes;

…

Introduction of Weka

Take a tour2D Visualization

Visualize Attribute

s

Introduction of Weka

Take a tour Classifier - 1

Introduction of Weka

Take a tour Classifier - 2

Single Click!

Introduction of Weka

Take a tour Classifier - 3

Introduction of Weka

Input File: .arff Format Detail:

http://www.cs.waikato.ac.nz/~ml/weka/arff.html

Require declarations of @RELATION, @ATTRIBUTE and @DATA @RELATION declaration associates a name

with the dataset

@ATTRIBUTE declaration specifies the name and type of an attribute

@DATA declaration is a single line denoting the start of the data segment

Introduction of Weka

Input File: .cvs Format

Introduction of Weka

OutputText-based resultsRun Information;Summary of model;Statistics of training data;Predictions of test data;Type of sampling;Confusing Matrix;Detailed Accuracy by class;Entropy evaluation measures;…

Introduction of Weka

OutputText-based results - exampleclassifyResultExample.txt

Introduction of Weka

OutputGraphical-based results

Introduction of Weka

Any questions??