This document discusses a meetup group evaluation and recommender system that uses machine learning models. The system analyzes features like repeat visitor rates to classify groups as low, median, or high quality. A random forest model achieves high precision, recall, and F-measure in predicting these quality levels based on features. Top features include information about members and correlations between features are also examined.