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Machine Learning on Divorce Rate Factors by sanatinima20 is a document available to read on EtoBox.

The document discusses the implementation of machine learning algorithms to analyze factors affecting divorce rates, aiming to identify and categorize these factors through quantitative analysis. It compares three classification algorithms to determine the most effective method for characterizing divorce-related data. The study highlights the significance of understanding the reasons behind divorces to potentially reduce their occurrence and improve future relationship decisions.

Author
sanatinima20
Language
EN