florida international university cop 4770 introduction of weka
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Introduction of Weka
Florida International UniversityCOP 4770
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??