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The goal of classification is to accurately predict the target class for each case in the data.
Explanation:
For example, a classification model could be used to identify loan applicants as low, medium, or high credit risks.
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Classification is the separation of larger particles from smaller ones. Classification is used for fine particles that cannot be efficiently screened.
Explanation:Data classification is the process of organizing data into categories that make it is easy to retrieve, sort and store for future use. A well-planned data classification system makes essential data easy to find and retrieve. This can be of particular importance for risk management, legal discovery and compliance.