Modeling and evaluating data in Tableau

Neural networks are often difficult to understand. When the data is loaded into Tableau, we can visually understand the distinctions made by the underlying model. Since we can easily load data into Tableau, we can do this on an ongoing basis.

In this example, we will use Tableau as part of the testing process. We will present the model with data, and see how well the R model can distinguish between the three types of iris. Once we have set up the Tableau workbook, we can load more data into the workbook, using the connect to data facility. This would help us to see if the model continues to distinguish between the model types, and we could continue to test the model on an ongoing basis.

Using Tableau to evaluate data

Let's load more data into Tableau. For our testing purposes, we will reuse the iris data that we used in the earlier example. However, if this was real life, this would not be the best practice for testing purposes. Here, we are reusing the...