Analysis of Habitability and Stellar Habitable Zones from Ob- 2 served Exoplanets

The investigation of exoplanetary habitability is integral to advancing our knowledge of 12 extraterrestrial life potential and detailing the environmental conditions of distant worlds. In this 13 analysis, we explore the properties of exoplanets situated with respect to circumstellar habitable 14 zones by implementing a sophisticated filtering methodology on data from the NASA Exoplanet 15 Archive. This research encompasses a thorough examination of 5,595 confirmed exoplanets listed in 16 the Archive as of March 10th, 2024, systematically evaluated according to their calculated average 17 surface temperatures and stellar classifications of their host stars, taking into account the biases im- 18 plicit in the methodologies used for their discovery. Machine learning, in the form of a Random 19 Forest classifier and a XGBoost classifier, are trained with high accuracies. The feature importance 20 analysis indicates that our approach captures the most important parameters for habitability classi- 21 fication. Our findings elucidate distinctive paQerns in exoplanetary aQributes, which are signifi- 22 cantly shaped by the spectral classifications and mass of the host stars. The insights garnered from 23 our study both inform refinement of existing models for managing burgeoning exoplanetary da- 24 tasets, as well as lay foundational groundwork for more in-depth explorations of the dynamic rela- 25 tionships between exoplanets and their stellar environments.