Explanation Data Format
Click "Generate Explanation Format" to see the standardized output...
XAI Algorithms Comparison
π― SHAP (Shapley Values)
Fidelity
95%
Computational Cost
High
Model Agnostic
Yes
Game theory-based approach providing consistent and theoretically sound feature attributions.
π¬ LIME
Fidelity
82%
Computational Cost
Medium
Model Agnostic
Yes
Local linear approximations around predictions for interpretable explanations.
ποΈ Attention Mechanisms
Fidelity
88%
Computational Cost
Low
Model Agnostic
No (Neural only)
Built-in attention weights showing which inputs the model focused on.
π Integrated Gradients
Fidelity
91%
Computational Cost
Medium-High
Model Agnostic
No (Differentiable)
Gradient-based attribution satisfying axioms like sensitivity and implementation invariance.
Algorithm Output
Select an algorithm and click "Run Algorithm" to see results...
Explanation Protocol & Trust Metrics
Protocol request will appear here...
Trust Metrics Evaluation
Fidelity Score
How accurately the explanation represents the model's behavior
Consistency Score
Similar inputs produce similar explanations
Stability Score
Robustness to small perturbations in input
Comprehensibility
How easily humans can understand the explanation
ML Pipeline Integration
Integration code will appear here...
Visualization Dashboard
Interactive Network Visualization - Hover over nodes to see attention weights and feature importance
End-to-End Testing
Test Results
Configure test scenario and click "Run Complete XAI Pipeline"...
Feature Importance Breakdown
-
Credit Score
+0.42
-
Income Level
+0.28
-
Employment Years
+0.18
-
Debt Ratio
-0.35
-
Loan Amount
-0.12
Human-Readable Explanation
The model APPROVED this loan application with 87% confidence.
Key Positive Factors:
β’ Excellent credit score (750) contributed strongly to approval
β’ Strong income level ($95,000) indicates repayment capability
β’ Long employment history (12 years) shows stability
Risk Factors:
β’ Moderate debt-to-income ratio (30%) requires monitoring
β’ Large loan amount relative to income may stress finances
Recommendation: Approve with standard terms. Consider debt counseling resources.