Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
ax.scatter(model.support_vectors_[:, 0], model.support_vectors_[:, 1], s=100, linewidth=1, facecolors='none', edgecolors='k') plt.show() If we calculate the accuracy of this model against the testing set we get a good result, granted the dataset is very small and generated at random. Accuracy of