🔭 Explore Predictive Landscape

Focus question: How does my model’s behavior change across different input conditions?

Global Prediction Summaries

Get a broad view of how predictions behave across the entire input space.

Global Predictions by Inputs

(Partial Dependence Matrix of predictions by input variables)

Reduced Dimensionality Map

(Reduced Dimensionality Visualization of Prediction Space)

Compare Multiple Variables

(Parallel Coordinates Plot Across Key Variables)

Single-Variable Exploration

Drill into how individual variables affect the model’s predictions.

TBD One-Way Variable Dependence

(Partial Dependence Plot for One Variable)

TBD Explore Variable Sensitivity

(Manually adjust input values and observe resulting predictions)

Multi-Variable Exploration

TBD Two-Way Variable Effects

(Visualize how two inputs interact to influence predictions.)

Explore in 3D

(3D Scatter Plot of Inputs vs. Prediction)

TBDish Contour Sensitivity Map

(2D Contour Plot with Sliders)

Note: Right now this is the two-way dot plot, but it should be changed to a contour plot.

Interactive Predictions

Allow users to define specific input settings and view outcomes.

Manual Prediction

(Interactive Input Panel for Custom Prediction)

Time Profile Simulation

(Line Plot Over Time Based on Predictions)

Note: The above sections should be able to show either prediction or uncertainty model, depending on user selection.