You are trying to build a logistic regression classifier which predicts whether the price of a house is less than 100K USD (class 0: cheap house) or greater than or equal to 100K USD (class 1: expensive house). The training examples given to you have two features: the depth and the frontage of the house and the associated class (0 or 1) for each training example. Assume that the price of a house is linearly dependent upon the area of the house. How would you make logistic regression work in this case? Write down the full hypothesis.