An online rental video company is interested in creating a model to make movie

recommendations to one of its customers, Ms. X. As a consultant to this com-

pany, you are provided with the history of the movies that she accepted or

rejected to watch. She makes her selections solely based on the movie's level of

violence and critic ratings.

1. Train a perceptron that will create a linear boundary decision that will

help the company to make future recommendations to Ms. X. After how

many iterations does the algorithm converge?

2. Upon creating a model, plot the boundary line along with all the data

points and axes clearly marked.

dataset:

LevelOfViolence CriticsRating Watched 0 1 1.2 -1 1 1 3.5 1 2 1 4.2 1 3 2 3.9 1 4 2 2.8 -1 5 3 3.0 -1 6 5 4.5 -1 7 4 1.8 -1 8 1 2.1 -1 9 3 4.8 1 10 5 4.9 1 11 3 1.5 -1 12 3 2.6 -1