Visualizing models
In the previous chapter, we created a workflow to generate a grid. That must have looked pointless at that time, but now, we will move a bit forward and show an application. The GenerateGridForLogisticRegression.zip file contains the workflow demonstrating this idea with the iris dataset.
In this workflow, we use a setup very similar to the Generate Grid workflow till the preprocessing meta node, but in this case, we use the average of minimum and maximum values instead of creating NaN values when we generate a grid with a single value in that dimension. (This will be important when we apply the model.) We also modified the grid parameters to be compatible with the iris dataset. In the lower region of the workflow, we load the ...
Get KNIME Essentials now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
