COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of these comes in data preparation?
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Removing collinearity
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Rescale data
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Remove noise
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Evaluation metrics
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Explanation:
Detailed explanation-1: -The process of removing noise from a data set is termed as data smoothing.
Detailed explanation-2: -Data Cleaning: It is also known as scrubbing. This task involves filling of missing values, smoothing or removing noisy data and outliers along with resolving inconsistencies.
Detailed explanation-3: -Any data that has been received, stored, or changed in such a manner that it cannot be read or used by the program that originally created it can be described as noisy. Noisy data unnecessarily increases the amount of storage space required and can also adversely affect the results of any data mining analysis.
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