Question

Support vectors are training examples that
All of these
O b. mid-way between the decision boundaries
OC.
are exactly on the decision boundary
O d. are perpendicular to the decision boundary​

Answer 1

Answer:

You can think of machine learning algorithms as an armory packed with axes, sword and blades. You have various tools, but you ought to learn to use them at the right time. As an analogy, think of ‘Regression’ as a sword capable of slicing and dicing data efficiently, but incapable of dealing with highly complex data. On the contrary, ‘Support Vector Machines’ is like a sharp knife – it works on smaller datasets, but on them, it can be much more stronger and powerful in building models.