Predicting Bollywood Movies Success Using Machine Learning Technique

The main purpose of this paper is to develop a model for predicting the success of movie (Bollywood movie) being a Hit or Flop, long before a movie is actually released. Using Logistics Regression algorithm, a supervised machine leaning algorithm, a model has been developed for predicting Hit Bollywood movies. The model developed has been able to predict the Hit movies with an accuracy up to 80%. The proposed model is unique in the sense that it uses MusicRating of a movie as a predictor which is a unique feature of Bollywood movies. The study holds lot of relevance to practitioners as well as to academicians as the former may benefit by using this model to predict the success of a Bollywood movie before its release and latter may gain new insights into this body of knowledge.