The previous chapter focused on exploring simple relationships between an outcome variable and a predictor variable. You learned how to use several statistical and graphing nodes to determine which fields are related to each other, and as mentioned previously, this can answer very important questions. However, ultimately you will want to build a model. In this chapter, you will be introduced to the different types of models available in Modeler and will then be provided with an overview of the predictive models. Specifically, in this chapter we will:
- Provide an overview of the kinds of models that Modeler can create and how these are organized
- List and discuss the various algorithms that ...
