This project utilizes the PHL Exoplanet Catalog to predict the potential habitability of exoplanets. The dataset contains various physical and orbital parameters for confirmed exoplanets and their host stars.
Dataset Link: https://www.kaggle.com/datasets/chandrimad31/phl-exoplanet-catalog
The objective is to classify whether a planet is potentially habitable based on its physical properties and its host star's characteristics.
Target Variable: P_HABITABLE
- Note: This column defines the habitability class (e.g., 0 for non-habitable, 1 for conservatively habitable, 2 for optimistically habitable). You may choose to convert this into a binary classification problem (Habitable vs. Non-Habitable).
To ensure the model learns robust physical relationships (e.g., the interaction between stellar luminosity and orbital distance) rather than relying on pre-calculated habitability scores, you are restricted to the pool of 30 columns listed below.
- Do NOT use obvious predictors or direct proxies for habitability such as:
P_TEMP_EQUIL(Equilibrium Temperature)P_ESI(Earth Similarity Index)P_HABZONE_OPT/P_HABZONE_CON(Habitable Zone flags)P_FLUX(Insolation Flux - removed to force learning from Luminosity/Distance)
- From the list of 30 below, perform your own Feature Engineering and Selection to choose the most effective combination for your model.
Planet Physical Properties
P_MASS- Planet Mass (EU)P_RADIUS- Planet Radius (EU)P_DENSITY- Planet Density (EU)P_GRAVITY- Planet Surface Gravity (EU)P_ESCAPE- Planet Escape Velocity (EU)P_TYPE- Planet Type (e.g., Super Earth, Gas Giant)
Planet Orbital Parameters
7. P_PERIOD - Orbital Period (days)
8. P_SEMI_MAJOR_AXIS - Mean distance from the star (AU)
9. P_ECCENTRICITY - Orbital Eccentricity
10. P_INCLINATION - Orbital Inclination (degrees)
11. P_OMEGA - Argument of Periastron
12. P_PERIASTRON - Periastron distance (AU)
13. P_APASTRON - Apastron distance (AU)
14. P_IMPACT_PARAMETER - Transit Impact Parameter
15. P_HILL_SPHERE - Radius of the Hill Sphere (AU)
Stellar Properties (Host Star)
16. S_MASS - Star Mass (SU)
17. S_RADIUS - Star Radius (SU)
18. S_LUMINOSITY - Star Luminosity (SU)
19. S_TEMPERATURE - Star Effective Temperature (K)
20. S_AGE - Star Age (Gyrs)
21. S_METALLICITY - Star Metallicity ([Fe/H])
22. S_LOG_G - Star Surface Gravity
23. S_TYPE - Star Spectral Type
24. S_MAG - Star Magnitude
25. S_DISC - Presence of a circumstellar disc
26. S_MAGNETIC_FIELD - Star Magnetic Field presence
System & Meta Data
27. S_SNOW_LINE - Snow Line Distance (AU)
28. S_TIDAL_LOCK - Tidal Lock Limit Distance (AU)
29. P_DETECTION - Method of Detection (e.g., Transit, Radial Velocity)
30. P_DISTANCE - Distance of the system from Earth (pc)
To ensure that all code submissions work seamlessly on cloud platforms like Kaggle and Google Colab, you must follow these environment rules:
- Python Version: Use Python 3.10 locally. This is the default version on Kaggle/Colab.
- Library Versions: When installing libraries (Pandas, Scikit-Learn, etc.), ensure you are using the latest versions compatible with Python 3.10.
- Why? If you use features from Python 3.12 that don't exist in 3.10, your code will fail during the evaluation phase.
