5. Interpretable Models

• 5.1. Generalized Linear Models
  • 5.1.1. Model Training
  • 5.1.2. Global Interpretation
  • 5.1.3. Local Interpretation
  • 5.1.4. Data Dependent Interpretation
  • 5.1.5. Examples
• 5.2. Generalized Additive Model
  • 5.2.1. Model Training
  • 5.2.2. Global Interpretation
  • 5.2.3. Local Interpretation
  • 5.2.4. Example
• 5.3. Decision Tree
  • 5.3.1. Model Training
  • 5.3.2. Global Interpretation
  • 5.3.3. Local Interpretation
  • 5.3.4. Examples
• 5.4. Fast Interpretable Greedy-tree Sums
  • 5.4.1. Model Training
  • 5.4.2. Global Interpretation
  • 5.4.3. Local Interpretation
  • 5.4.4. Examples
• 5.5. XGBoost Depth 1
  • 5.5.1. Model Training
  • 5.5.2. Global Interpretation
  • 5.5.3. Local Interpretation
  • 5.5.4. Examples
• 5.6. XGBoost Depth 2
  • 5.6.1. Model Training
  • 5.6.2. Global Interpretation
  • 5.6.3. Local Interpretation
  • 5.6.4. Examples
• 5.7. Explainable Boosting Machines
  • 5.7.1. Model Training
  • 5.7.2. Global Interpretation
  • 5.7.3. Local Interpretation
  • 5.7.4. Examples
• 5.8. GAMI-Net
  • 5.8.1. Model Training
  • 5.8.2. Global Interpretation
  • 5.8.3. Local Interpretation
  • 5.8.4. Examples
• 5.9. ReLU Neural Network
  • 5.9.1. Model Formulation
  • 5.9.2. Local Linear Models
  • 5.9.3. Model Training
  • 5.9.4. Global Interpretation
  • 5.9.5. Local Interpretation
  • 5.9.6. Examples