Fig. 13.

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Confusion matrix for the different classification methods. Each matrix displays the performance of a method in distinguishing between single and binary classes. The cells shaded in green represent true positive and true negative predictions, indicating correct classifications, while the cells shaded in red represent false positive and false negative predictions, indicating incorrect classifications.
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