explain_recommendation
Understand why AI recommends specific players by revealing which features most influence projections using SHAP values and explainability methods.
Instructions
Get detailed explainability for AI projection decisions using SHAP values. Shows which features contributed most to a player's projection and why the model recommends them. Perfect for understanding the 'why' behind projections.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| playerId | Yes | Player ID to explain | |
| sport | Yes | Sport context | |
| explainerType | No | Explainability method | shap |
| includeVisualizations | No | Include waterfall/force plots (base64 images) |