Successfully uncovered distinct global life expectancy patterns by clustering 200 countries using DBSCAN, providing insights into gender-based longevity disparities.

Achieved a Silhouette Score of 0.496, indicating a moderately well-separated clustering despite the unsupervised nature and complexity of the dataset.

Identified Nigeria as a unique outlier, demonstrating the model's ability to detect noise and potential anomalies in public health data.