meaning of misclassification

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Misclassification refers to the act of assigning an incorrect label or category to a data point during the process of classification or prediction. It occurs when a model incorrectly assigns an observation to a class that does not accurately represent its true category or label. Misclassification can occur in various types of classification tasks, such as binary classification (where there are only two possible classes) or multi-class classification (where there are multiple possible classes). Minimizing misclassification is a key objective in building accurate classification models.

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