Makine Öğrenmesi ile Film Başarı Tahmini

摘要

The commercial success of the films ensures that film companies earn high profits. Estimating success for a movie; film plays a vital role in the industry because filmmaking requires huge investments. Many factors like master directors, experienced actors are important for creating good films. However, movies on this criterion can often provide the expected box-office revenue but cannot guarantee a high-grade IMDB score. In this study, various machine learning methods were used to classify and examine IMDB data to predict the success and failure of films based on various attributes. It has been tried to determine which attributes are more important to the success rate. We tried to analyze which films were more successful, in other words, getting a higher IMDB score. We present the results of this analysis intuitively using GGPlot2 in R language and visualizing the results.