House Squatting Classification
in Machine learning on ML Projects
This project focuses on classifying occupied properties (“okupadas”) using machine learning techniques. It involves incremental data scraping, cleaning, and feature engineering to enhance model performance. Geospatial features and area-specific occupation metrics were created to improve classification accuracy. With iterative improvements raising the F1-score from 37% to 59%.
