Predictive Model
A predictive model is a statistical or machine learning algorithm that is trained on historical data to make predictions about future events or behaviors. The model uses input variables, also known as features, to generate an output variable, which is the predicted outcome. Predictive models are used in a variety of industries, including finance, healthcare, and marketing, to forecast trends, identify patterns, and make informed decisions. The accuracy of a predictive model depends on the quality and quantity of the training data, the selection of appropriate features, and the choice of algorithm. Common types of predictive models include linear regression, decision trees, and neural networks.
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