ml-mapper

This repository contains analysis for the topic "Machine Learning for the Planetary Albedo".

Analysis

Lunar Albedo Map

Out of the several models tested, XGBoostRegressor gives the least Root Mean Squared Error (RMSE) ~ 0.03.

Lunar - Actual Map

Mercury Albedo Map

The XGBoostRegressor gives RMSE value ~ 0.16. Other regressors, for example the LinearSVR, give similar results as the XGBoostRegressor. For the case of mercury, the chemical composition maps were predicted before predicting the albedo maps.

Mercury - Actual Map

Prediction Results

Lunar Albedo Map Prediction

Mercury Element Map Prediction

Mercury Albedo Map Prediction