Revisiting predictions of movie economic success: random Forest applied to profits

ABSTRACT: Previous studies have employed machine learning tools to classify films according to success to guide a reduction in the degree of uncertainty of film production. We revisited the literature to contribute to three relevant issues in classifying films according to economic success. First, we explored the differences between the results of the shortest or longest samples in terms of time to study possible changes in patterns of consumption mainly due to technological changes and between total and wide-released films. Second, we used profits free of price inflation as measures of economic success instead of the usual box office nominal revenues. Third, we employed a smaller set of features, only the ones available at the time of production, to help producers maneuver contingencies since littl

SUBMITTER: e Souza T 

PROVIDER: S-EPMC10043836 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature