International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Predicting movie success using data mining

Author(s) Mr. SUDHARSAN H, Dr. ISWARYA M
Country India
Abstract This study uses machine learning models (Random Forest and SVR) to predict Kollywood movie box office performance based on key features like budget, ratings, and audience data.The results show that data-driven models can reduce financial risk and help producers make better investment decisions, as demonstrated with the film Karuppu.
Keywords Box Office Prediction, Kollywood, Random Forest, Support Vector Regression, Data Mining, Machine Learning, IMDb, Tamil Cinema.
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-05
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.77340

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