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) ...

SVM or "Support Vector Machine" is a supervised machine learning algorithm, mostly used for classifcation purpose, also termed as SVC (Support Vector Classification). It supports both linear and non ...

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.

Implementing SVM in Python. Now that we have understood the basics of SVM, let’s try to implement it in Python. Just like the intuition that we saw above the implementation is very simple and ...