Analytic model management ensures that models are not only superior to alternatives, but they also meet or exceed current business needs. Explore the process of building, validating, and evaluating a predictive analytics model.
Learning Objectives
Model Building
- start the course
- recognize key phases in developing a model
- recognize important aspects of data preparation for model development
- identify key functions in the model creation process
Model Considerations and Validation
- identify key considerations of model validation
- balance model complexity with overfitting
- identify features of two-fold validation
Model Evaluation
- recognize key features of Occam's Razor
- calculate mean squared error measures
- recognize prediction variation measures
- recognize evaluation measures for classification models
- interpret lift and gain charts
- interpret ROC curves and AUC
Practice: Classification Model Performance
- determine the superior classification model