This webcast addresses common challenges in selecting and comparing models and will show you how to:
Building Better Models
Introduction to Modeling and Model Comparison
- Assess the residual error in models.
- Identify a useful model.
- Avoid overfitting using cross-validation and K-fold cross-validation.
- Use ROC curves in categorizing a new observation.
- Evaluate continuous response models using measures such as R2 and adjusted R2.
This installment is the first of the five-part Building Better Models series.