Prediction of IMDb Rating in Netflix Shows Using Machine Learning Algorithms

Netflix is a streaming online service that contains TV shows, series and movies from various countries and categories. People of all ages can seamlessly watch their desired tv series or movies according to various genres. Regarding the prevailing circumstance, controversies arise while choosing the preferred show. This paper attempts to predict the rating of Netflix shows using Machine Learning Algorithms by relating Netflix movies with Internet Movie Database (IMDb) ratings. We performed research regarding the rating of Netflix which will portray the IMDb rating for every show. We have applied three algorithms in our database with a standard accuracy, which are Artificial Neural Network (ANN) = 0.97(97%) Random Forest = 0.96(96%) and Decision Tree =1.0(100%). Among these three algorithms, the decision tree was the most accurate algorithm to predict the ratings. The purpose of our research is to assist people with watching movies and shows without any trouble. Moreover, people can easily choose according to their preferred categories. This research aims to improve the user experience of Netflix.