Popularity analysis of films in social media using logistic regression compared with linear regression algorithm

The aim of the study is to predict the movie’s popularity in social media using machine learning algorithms like logistic regression algorithm and linear regression algorithm. Novel linear regression algorithm and novel logistic regression algorithm with sample size = 10 was iterated 20 times for predicting popular videos The Linear Regression classifier produces a better accuracy of (97.5%) than the Logistic regression classifier (81.6%). The significance of linear regression (p < 0.03 Independent sample T-test) is high Within the limits of the study the results proved that linear regression algorithm is significantly better for the movies popularity prediction process compared to the logistic regression algorithm.