Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
the separating hyperplane Z = model.decision_function(xy).reshape(XX.shape) # Draw the decision boundary and margins ax.contour(XX, YY, Z, colors='k', levels=[-1, 0, 1], alpha=0.5, linestyles=['--', '-', '--']) # Highlight support vectors with a circle around them