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Having learned the theory behind Support Vector Machines, explore the interactive visualization below to drag the decision boundary and margin lines, observing how margin width and misclassification rate change as you optimize the SVM!
Explore how Support Vector Machines classify data by finding the optimal boundary that separates two classes. Visualize the impact of margin width and misclassification rate, and interactively adjust the decision boundary to see SVMs in action.
Drag the decision boundary and margin lines to see how Margin Width and Misclassification Rate are changed and can be optimized.
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Test your understanding before moving on