Analyzing Sustainability Initiatives of the Airline Industry Through Random Forest Classification and K- Means Clustering Techniques

This analysis delves into sustainability within the aviation sector using machine learning and clustering. It uncovers distinct airline clusters based on sustainability focus. The study was conducted utilizing both the Random Forest algorithm and the K-means clustering algorithm. Despite uncovering trends, the analysis concentrates on 16 out of 17 United Nations sustainability goals, overlooking one aspect. Future research could benefit from better data collection and advanced models to improve sustainability analyses in aviation and similar industries