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Definitions from the WebOverfittingDefinition: Overfitting refers to a phenomenon in machine learning where a model is excessively customized to fit the training data, resulting in poor generalization to new, unseen data. Part of Speech: NounSense: A scenario in machine learning Usage: Overfitting can occur when the complexity of a model is too high relative to the amount and quality of the training data. Example Sentence: To overcome overfitting, regularization techniques such as L1 and L2 regularization can be applied to penalize overly complex models. Related Products: Amazon search for books on Overfitting in Machine Learning Part of Speech: VerbSense: The act of excessively conforming to a specific group or local culture. Usage: Some individuals tend to overfit by adopting the local dialect and accent in order to fit into a new community. Example Sentence: She overfits to the popular way of dressing in her new neighborhood to blend in. Related Products: Amazon search for books on Overfitting to Local Culture | ||||
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