Assume there’s a data set that has just three columns (two features and one label) and four rows (items). The four vectors corresponding to the items are at the corners of a square. The two vectors at the ends of one diagonal of this square belong to one class and the other two vectors on the other diagonal belong to the second class.

Is this data separable by a straight line? Which algorithm that you studied in the class would you choose if you were to come up with a classifier for this toy data set and why?