The SAS Data Science Blog
Advanced analytics from SAS data scientists
Introducing the feature contribution index for model assessment
Most model assessment metrics, such as Lift, AUC, KS, ASE, require the presence of the target/label to be in the data. This is always the case at the time of model training. But how can I ensure that the developed model can be applied to new data for prediction?
Creating a model validation pipeline
This post describes a fully automated validation pipeline for analytical models as part of an analytical platform, which has been set up recently as part of a customer project.
Model validation testing in the age of DevOps
Let us now take a look at a well-known metaphor for test case development in the software industry. We are referring to the idea of the “test pyramid."