Via Warren, we find that an Oklahoma State University neural network has been trained to recognize what makes a successful movie.
Using data on 834 movies released between 1998 and 2002, Sharda found that the neural network can judge a film based on seven key parameters: the “star value” of the cast, the movie’s age rating, the time of release against that of competitive movies, the film’s genre, the degree of special effects used, whether it is a sequel or not, and the number of screens it is expected to open in. This allowed it to place a movie in one of nine categories, ranging from “flop” (total takings less than $1 million) to “blockbuster” (over $200 million).
Catwoman was put into the matrix. The equations produced are excerpted in the title. Dammit, this is what I get for turning my back on science and plunging into screenwriting.