Configuring a predictive model
After you create a predictive model, configure the model outcome and source data settings to ensure that the predictions are accurate.
- Editing settings for a predictive model
Modify project settings to affect the predictive model development steps. The settings include the names of the sections that are displayed for each step and the default values for particular options. You can change the default settings of a step only before you complete it in the Prediction Studio portal process wizard, then the settings are disabled.
- Preparing data
The Data preparation step begins when you connect to a database or upload your data from a data set or a CSV file.
- Analyzing data
In the process of data analysis, you define a role for each predictor based on their predictive power and analyze them based on the known behavior of cases. Prediction Studio automatically prepares and analyzes every field (excluding outcome and weight) with two possible treatments for each field.
- Predictive models monitoring
Monitor the performance of your predictive models to detect when they stop making accurate predictions, and to re-create or adjust the models for better business results, such as higher accept rates or decreased customer churn.