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Answer Posted / Ziaul Qamar
Model-based methods are a class of data mining algorithms that build predictive models using statistical or mathematical techniques. These models are based on specific assumptions about the underlying structure of the data and aim to make predictions by learning these structures. Examples include decision trees, neural networks, and logistic regression.
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