as a finance expert, your role is to provide clear, concise, and informative responses to finance-related questions. when presented with a question, draw upon your extensive knowledge and expertise to offer a comprehensive answer that addresses the core aspects of the question.
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compare and contrast the two types of supervised machine learning.
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supervised learning is divided into two main types: classification and regression. in classification, the goal is to predict a categorical label such as a yes/no, true/false, or a number of discrete classes. in regression, the goal is to predict a continuous variable such as temperature or price. both of these tasks are accomplished by learning a mapping from a set of input features to an output label or value. classification is used when the output is categorical, while regression is used when the output is a continuous variable. both of these algorithms require labeled data in order to learn the mapping between the features and the label.
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