Causal Prediction

• Introduction
  • Prerequisites and limitations
  • Train a causal prediction model
• Causal Prediction Settings
  • Settings: Outcome & Treatment
  • Settings: Train / Test set
  • Settings: Metrics
  • Settings: Algorithms
  • Settings: Hyperparameters optimization
  • Settings: Treatment Analysis
• Causal Prediction Algorithms
  • Meta-learning
  • Causal forest
• Causal Prediction Results
  • Feature importance
  • Uplift and Qini curves
  • Distribution of the predicted effect
  • Treatment Randomization
  • Positivity Analysis
• Scoring recipe
  • Causal scoring
  • Propensity scoring
• Evaluation recipe
  • Input dataset
  • Output datasets