Research Update for last semester

Last semester, I’ve been doing building up the model which can be used to predict the behavior of the movie revenue, and finding suitable dataset to test the accuracy of the model. Additionally, based on literature review, I determined several parameters included in my model, such as movie’s weekly revenue as well as accumulative revenue, number of theaters, etc. I was looking at the behavior of the 90 movies in my dataset, and tried to categorize them into different groups and find some common features within each group and then the model can predict a little bit more accurately. As a result, my model predicted the behavior accurately in a wide range, but there was still a room for optimizing my model. So in the next step, I’ll revise certain parameters to adjust my model.