Machine Learning is taking answers and data and trying to find rules, while traditional programming is trying to take rules and data to get answers

[[21.99825]], and [[21.999985]]. They are different because the program does not know the actual equation, so it has to make a guess based on the data it has been given.

The Hudgins house was the best deal based on bedrooms because my program says the 3 bedroom house should be worth 245k, the worst house is the moon house because the price of the house is 250k my model said it should be 123k.