Predicting OTT Subscription Behavior using Deep Learning: A Multi-Class Classification Approach with Feature Engineering and Class Imbalance Handling | Synapse
March 3, 2026Open Access
Predicting OTT Subscription Behavior using Deep Learning: A Multi-Class Classification Approach with Feature Engineering and Class Imbalance Handling
Key Points
The multi-class classification model predicts subscription behavior effectively, increasing understanding of consumer preferences.
Important factors of feature engineering include content genres, pricing models, and user demographics in the analysis.
This observational analysis employed deep learning techniques to address class imbalance and enhance prediction accuracy.
Findings support more tailored marketing strategies and highlight the importance of data-driven decision-making in media.