model health. model health monitoring

Ride the Wave - Model Health Monitoring How do data science and ocean tides correlate?  A predictive analysis could be performed on the movement of currents and the ebb of tides, but let’s instead consider “drift” in relation to model health, the occasional subtle changes that may, or may not, occur over time within a model.  Drift is evidence that the data going into or coming out of a model is changing over time. Subtle changes may occur within models that often go unnoticed.  Recognizing the warning signs of possible shifts is essential in model health monitoring.  In a recent presentation called Catch My Drift, NLP Logix Modeling & Analytics Team [...]