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\textbf{3.2.4.1 Confusion Matrix} Matrix}\\  This approach can determine if the model correctly identifies a sample data or if it "confuses" itself with something else. The confusion matrix is assessed to generate a two different classes which are the class precision and the class recall of the model through the formula:    \begin{equation*} {PPV\quad =\quad \frac { TP }{ TP+FP } \times \quad 100} \end{equation*}