Misclassification

Misclassification occurs when something is incorrectly categorized or labeled. For example, if a medical condition is mistakenly identified as a different illness, this can lead to inappropriate treatment. Similarly, in data analysis, misclassification happens when an algorithm or researcher incorrectly labels data points, which can lead to inaccurate conclusions or predictions. Misclassification can stem from various factors, including human error, faulty categorization systems, or limitations in technology. Understanding and correcting misclassification is crucial in ensuring accurate communication, data integrity, and effective decision-making.