Definition: Mismarking, also known as a misclassification error or a mistake of classification, is an error in which a machine learning model incorrectly classifies instances from one category to another. In machine learning, misclassifications are common and can occur due to various factors such as incorrect training data, insufficient feature selection, or overfitting. The term "mismarking" refers to the process where an algorithm incorrectly identifies instances of one category as belonging to another. Mismarking is a critical issue
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