--- title: Mars Atmospheric Pressure Predictor emoji: 🌡️ colorFrom: red colorTo: yellow sdk: gradio sdk_version: 5.13.1 app_file: app.py pinned: false license: mit --- # Mars Atmospheric Pressure Predictor This Space hosts an interactive interface for predicting atmospheric pressure on Mars based on environmental measurements. The model was trained on data from the REMS (Rover Environmental Monitoring Station) dataset. ## How to Use 1. Adjust the sliders for: - Maximum Ground Temperature (°C) - Minimum Ground Temperature (°C) - Maximum Air Temperature (°C) - Minimum Air Temperature (°C) - Month (1-12) 2. The model will predict: - Atmospheric pressure in Pascals (Pa) - A prediction range accounting for uncertainty - The uncertainty margin (±Pa) ## Model Performance - Mean Absolute Error: 34.97 Pa - R² Score: 0.413 - Prediction Uncertainty: ±44.2 Pa ## Example Values - Average conditions: -13°C max ground, -75°C min ground, 2°C max air, -80°C min air - Warmest conditions: 11°C max ground, -52°C min ground, 24°C max air, -8°C min air - Coldest conditions: -67°C max ground, -100°C min ground, -61°C max air, -136°C min air ## Notes - The model performs moderately with an R² score of 0.413 - Predictions include uncertainty estimates - Temperature ranges are based on actual Mars measurements