Predictive models help you gain insight about the future behavior of your customers. Using the Predictive Studio app, you can easily create, train, evaluate and publish predictive models for an either preconfigured or custom predictive score (predictive scenario). The key components in predictive model management are scenarios, models, and training.
A predictive scenario consists of one or more data sources and assigned implementation methods, both of which are tailored to your use case. You can create new predictive models to calculate scores based on preconfigured predictive scenarios.
A predictive modelis based on a preconfigured predictive scenario and one or more model fits. It can also include additional details, such as a training set. You can change and enhance predictive models with Model Fits and Scope. A predictive model is used to identify the best fit and publish it to the business scenario.
Trainingyour predictive models is a key step in predictive model management. You can create and adjust model fit and select predictors or use Infinite Insight for automatic selection. You assess fitting quality by means of cross-validation, Lorenz curves, and other methods.