You need to select a feature extraction method. Which method should you use?

The correct answer is C. Kendall correlation. In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter ), is a statistic used to measure the ordinal association between two measured quantities. It is a supported method of the Azure Machine Learning…

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Question

You need to select a feature extraction method. Which method should you use?

Options

AMutual information
BMood's median test
CKendall correlation
DPermutation Feature Importance

How the community answered

(34 responses)

A
9% (3)
B
3% (1)
C
82% (28)
D
6% (2)

Explanation

In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter ), is a statistic used to measure the ordinal association between two measured quantities. It is a supported method of the Azure Machine Learning Feature selection. Scenario: When you train a Linear Regression module using a property dataset that shows data for property prices for a large city, you need to determine the best features to use in a model. You can choose standard metrics provided to measure performance before and after the feature importance process completes. You must ensure that the distribution of the features across multiple training models is consistent. https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature- selection-modules

Topics

#Feature Selection#Kendall Correlation#Data Preprocessing#Machine Learning Fundamentals

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