Tour of Weka

Introduction

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Full form of WEKA is Waikato Environment for Knowledge Analysis (Weka). Waikato Environment for Knowledge Analysis (Weka) is a popular suite of machine learning software written in Java, developed at the University of Waikato, New Zealand. It is free software licensed under the GNU General Public License. It is also the name of a New Zealand bird the Weka. Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization.

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Introduction to the Weka GUI

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Now the graphical user interface a bit and encourage you to download and have a play with Weka. 1] The Workbench provides three main ways to work on your problem: 2] The Explorer for playing around and trying things out 3] The Experimenter for controlled experiments, and T 4] The KnowledgeFlow for graphically designing a pipeline for your problem.

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Weka Explorer

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The explorer is where you play around with your data and think about what transforms to apply to your data, what algorithms you want to run in experiments.

The Explorer interface is divided into 6 different tabs:

1] Preprocess: Load a dataset and manipulate the data into a form that you want to work with. 2] Classify: Select and run classification and regression algorithms to operate on your data. 3] Cluster: Select and run clustering algorithms on your dataset. 4] Associate: Run association algorithms to extract insights from your data. 5] Select Attributes: Run attribute selection algorithms on your data to select those attributes that are relevant to the feature you want to predict. 6] Visualize: Visualize the relationship between attributes.

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Opening File in Weka

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The first three buttons at the top of the preprocess section enable you to load data into WEKA: 1] Open file.... Brings up a dialog box allowing you to browse for the data file on the local file system. 2] Open URL.... Asks for a Uniform Resource Locator address for where the data is stored. 3] Open DB.... Reads data from a database.