we explore supervised data mining techniques, including classification models where the target variable is categorical and prediction models where the target variable is numerical. examples of classification models include which of the following?

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predicting the approval of a mortgage Examples of classification models include forecasting consumer purchasing behavior.

A mortgage is a sort of loan used to buy or keep up a house, land, or other real estate. The borrower consents to make payments to the mortgage lender over time, typically in the form of a series of regular behavior payments that are split into principal and interest. Then, the asset is used as security to protect the loan.

Borrowers must submit an application through their preferred lender and make sure they satisfy a number of criteria, including minimum credit mortgage scores and down payments. Before they proceed to the closing stage, mortgage applications must pass a stringent underwriting procedure. Depending on the borrower's needs, different mortgage behavior kinds exist, such as fixed-rate and conventional loans.

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