Concise and unambiguous assessment of a machine learning algorithm is key to classifier design and performance improvement. In the multi-class classification task. where each instance can only be labeled as one class. the confusion matrix is a powerful tool for performance assessment by quantifying the classification overlap. https://foldlyers.shop/product-category/ups/