Here are the common tasks for creating predictive models, and how to apply the models to data sets and use them in projects.
|Train a model using sample data||Use one of the supplied algorithms to train a model to predict trends and patterns in your sample data.||Create and Train a Predictive Model|
|Evaluate a model||Use related data sets to evaluate the effectiveness of your model, and iteratively refine the model until you're satisfied with it.||Inspect a Training Model|
|Apply a model to your data using a data flow||Apply a training predictive model to your data to generate a data set that includes the predicted trends and patterns.||Apply a Predictive Model to a Data Set|
|Apply a predictive model to your project data||Use a scenario to add a predictive model to your project.||Add a Predictive Model to a Project|