Confusion matrix of Cubic SVM as presented in Table 2

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Context 1

... because functions as a non-linear classifier, enabling it to effectively represent intricate data relationships that might not be linearly distinguishable. Particularly in image classification, where decision boundaries can be intricate, a non-linear approach like Cubic SVM excels in capturing nuanced patterns that may elude a linear classifier. Fig. 4 shows the confusion matrix of Cubic SVM, that shows height results on the proposed ...