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QWhat is the meaning of the term "Underfitting" in AI?
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Feature Extraction refers to the process of selecting and transforming relevant features from raw data to represent the input for a machine learning model. In feature extraction, the goal is to identify the most informative and discriminative attributes or characteristics of the data that are useful for the learning task. This process helps reduce the dimensionality of the data and focuses on capturing the essential information required for the model to make accurate predictions or classifications.
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