Analysis workspace

Upload feature inputs and generate a live reviewable result.

This page supports both quick faculty demos and deeper technical walkthroughs. Start with a CSV or use manual feature input, then continue into prediction and explainability.

Expected features

Supported models

Current mode

Awaiting input

CSV import

Load a prepared sample row

The upload flow accepts extra columns, but the deployed model still expects the required voice features to be present.

Single-row review

Choose a CSV file to preload the workspace

After upload, the first usable row becomes the active sample for prediction and SHAP explanation.

Browse CSV

Manual input

Enter feature values directly

Use the saved sample values as a starting point or adjust individual features before running the model.

Model

Loading features...

No prediction yet

Upload a CSV or enter the expected voice features to create the live result that will power the next routes.

How to present this page

A clean starting point for demos

1. Load a realistic sampleCSV or sample values

2. Run the model livePrediction + confidence

3. Continue the storyPrediction and explainability

These scores represent Parkinson's disease likelihood based on speech features and should not be treated as a medical diagnosis.