This Streamlit app is designed to predict the likelihood of a squirrel approaching based on various input features. Utilizing a machine learning model trained on comprehensive squirrel behavior data, the app provides an interactive interface for users to input data and receive predictions.
The app is here: https://squirrelml.streamlit.app/
- Interactive Map: Select geographical coordinates to determine the location of your squirrel observation.
- Customizable Inputs: Adjust various parameters like time of day, squirrel age, fur color, and observed behaviors to refine your prediction.
- Real-Time Predictions: Instantly receive a probability score indicating the likelihood of a squirrel's approach.
- Model Insights: Understand the key factors influencing the prediction with an integrated machine learning explanation tool.
- Set Location: Click on the map or manually enter the latitude and longitude of your squirrel observation.
- Input Parameters: Use the dropdowns and checkboxes to input details like the time of day, squirrel age, primary and highlight fur color, and various behaviors observed.
- Get Prediction: Click on the 'Predict' button to view the likelihood of a squirrel approaching, presented as a percentage.