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AI Model
Model Explainability
SHAP
Used in
24
AI implementations
Industries Using SHAP
pharmaceuticalsbiotech
3
finance
3
healthcare
3
insurance
2
sports
2
telecommunications
2
energy
2
agriculture
1
Often Used With
XGBoost (11)
LightGBM (8)
LIME (7)
Random Forest (5)
CatBoost (4)
SMOTE (3)
Partial Dependence Plots (2)
NSGA-III (1)
NACC participant dataset (1)
CSF biomarker measurements (1)
Monte Carlo simulation (1)
Bootstrap analysis (1)
Quick Stats
24
Total Use Cases
14
Industries
12
Related Technologies
Use Cases Using SHAP
energy-hydrogen-infrastructure
10.0
SHAP-based sensitivity analysis for hydrogen gas-mixture monitoring and design
telecommunications
10.0
Explainable telecom customer churn prediction with soft-voting gradient boosting ensemble
energy
10.0
Utility customer churn prediction with automated retention actions
energy
10.0
Regime-aware allocation signals for clean-energy and ESG-sensitive portfolios
real-estate
10.0
Submarket-aware valuation intelligence comparing apartments, houses, and time trends
energy
10.0
Explainable AI validation for thermodynamic trust and sensor issue detection
real-estate
10.0
Explainable house price prediction for buyer and valuation decision support
pharmaceuticalsbiotech
10.0
Quantum-explainable biomarker prediction for precision medicine
pharmaceuticalsbiotech
10.0
Automated rule-level assessment of trial exclusion criteria impact
pharmaceuticalsbiotech
10.0
Explainable protocol editing support for trial design review
energy
10.0
AI surrogate modeling and Pareto optimization for biomass gasification syngas production