Key points are not available for this paper at this time.
In the field of machine learning and specifically for statistical classification a confusion matrix -also known as error matrix -is a specific table layout that allows visualization of the algorithm performance, and is mostly used in supervised learning. Each row of the matrix represents the instances in an actual class, while each column represents the instances in a predict class (or vice versa)(Powers 2011;
Haghighi et al. (Mon,) studied this question.