Developing and managing modelsPredictive analytics

Parent topic: Predictive analytics

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.
Developing models
The Model development step helps you create models for further analysis. You group predictors based on their behavior and create models to compare their key characteristics.
Analyzing models
In the Model analysis step you can compare and view scores of one or more predictive models in a graphical representation, analyze predictive models' score distribution, and compare the classification of scores of one or more predictive models.
Selecting a model for deployment
Export your generated predictive models into instances of the Predictive Model rule and use them in strategies.

Related information:

Developing a predictive model

Predictive models monitoring

Parent topic: Predictive analytics