In this classification example, X inputs are HOG features extracted from images (in another function) and Y targets their also extracted labels. The labels are initially strings (a list of strings) ...

Aftre training the model, a test accuracy score of 100% has been achieved. Same dataset has also been used for training and testing of SVM Classifier from Scikit-Learn. Getting same test accuracy ...

Finally, after implementing SVM for multiclass classification problems, you need to evaluate the performance of the model using some metrics, such as accuracy, precision, recall, or F1-score.