Handling missing attribute values is a important step in the data preprocessing phase when working with the breast cancer dataset in the context of machine learning using Python and specifically the K nearest neighbors (KNN) algorithm. Missing attribute values can occur due to various reasons, such as human error during data collection, equipment malfunction, or