You are moving a large dataset from Azure Machine Learning Studio to a Weka environment. You need to format the data for the Weka environment. Which module should you use?

The correct answer is C. Convert to ARFF. Weka (Waikato Environment for Knowledge Analysis) uses the ARFF (Attribute-Relation File Format) as its native data format. ARFF files describe the attributes (features) and instances (rows) in a structured text format that Weka can read directly. The 'Convert to ARFF' module…

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Question

You are moving a large dataset from Azure Machine Learning Studio to a Weka environment. You need to format the data for the Weka environment. Which module should you use?

Options

AConvert to CSV
BConvert to Dataset
CConvert to ARFF
DConvert to SVMLight

How the community answered

(36 responses)

A
3% (1)
B
3% (1)
C
89% (32)
D
6% (2)

Explanation

Weka (Waikato Environment for Knowledge Analysis) uses the ARFF (Attribute-Relation File Format) as its native data format. ARFF files describe the attributes (features) and instances (rows) in a structured text format that Weka can read directly. The 'Convert to ARFF' module in Azure Machine Learning Studio outputs data in exactly this format. 'Convert to CSV' produces comma-separated text which Weka can import but is not its native format. 'Convert to Dataset' converts data into Azure ML's internal format. 'Convert to SVMLight' produces the sparse format used by SVM libraries like libSVM - not compatible with Weka natively.

Topics

#Data formats#Weka#Azure Machine Learning Studio#Data preparation

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