3. Selected deeper topics

Table of Contents

• 3.1. Applying preprocessing to the target
• 3.2. Cross-validation consistent Confound Removal
  • Confound Removal in Julearn
  • Should I use Confound Regression?
• 3.3. Hyperparameter Tuning
  • Parameters vs Hyperparameters
  • Hyperparameter Tuning
  • Searchers
  • Tuning more than one grid
  • Models as hyperparameters
• 3.4. Inspecting Models
• 3.5. Cross-validation splitters
  • Stratification
  • Grouping
• 3.6. Stacking Models
  • Fitting each estimator on all of the features
  • Fitting each estimator on a specific feature type
• 3.7. Connectome-based Predictive Modeling (CBPM)
  • CBPM in Julearn