Explain confusion matrix using an example.
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A confusion matrix is a table that is often used to describe the performance of a classification model (or classifier) on a set of test data for which the true values are known. ... The classifier made a total of 165 predictions (e.g., 165 patients were being tested for the presence of that disease).
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For example, the matrix A above is a 3 × 2 matrix. Matrices with a single row are called row vectors, and those with a single column are called column vectors. A matrix with the same number of rows and columns is called a square matrix.
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