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AI Model
Model Explainability
SHAP
Used in
19
AI implementations
Industries Using SHAP
pharmaceuticalsbiotech
3
finance
3
sports
2
telecommunications
2
energy
2
insurance
1
agriculture
1
real estate
1
Often Used With
XGBoost (9)
LightGBM (8)
LIME (7)
CatBoost (3)
Random Forest (3)
SMOTE (2)
NSGA-III (1)
NACC participant dataset (1)
CSF biomarker measurements (1)
Monte Carlo simulation (1)
Bootstrap analysis (1)
TCT model outputs (1)
Quick Stats
19
Total Use Cases
12
Industries
12
Related Technologies
Use Cases Using SHAP
energy
10.0
Utility customer churn prediction with automated retention actions
real-estate
10.0
Explainable house price prediction for buyer and valuation decision support
real-estate
10.0
Submarket-aware valuation intelligence comparing apartments, houses, and time trends
energy
10.0
AI surrogate modeling and Pareto optimization for biomass gasification syngas production
energy
10.0
Regime-aware allocation signals for clean-energy and ESG-sensitive portfolios
pharmaceuticalsbiotech
10.0
Quantum-explainable biomarker prediction for precision medicine
energy
10.0
Explainable AI validation for thermodynamic trust and sensor issue detection
pharmaceuticalsbiotech
10.0
Automated rule-level assessment of trial exclusion criteria impact
pharmaceuticalsbiotech
10.0
Explainable protocol editing support for trial design review
telecommunications
10.0
Explainable telecom customer churn prediction with soft-voting gradient boosting ensemble