You can use the Auto Numeric node to automatically create and compare different models for continuous (numeric range) outcomes, such as predicting the taxable value of a property. With a single node, you can estimate and compare a set of candidate models and generate a subset of models for further analysis. The node works in the same manner as the Auto Classifier node, but for continuous rather than flag or nominal targets.
Property values (Auto Numeric)
The node combines the best of the candidate models into a single aggregated (Ensembled) model nugget. This approach combines the ease of automation with the benefits of combining multiple models, which often yield more accurate predictions than can be gained from any one model.
This example focuses on a fictional municipality responsible for adjusting and assessing real estate taxes. To do this more accurately, they will build a model that predicts property values based on building type, neighborhood, size, and other known factors.
This example uses the flow named Automated Modeling for a Continuous Target, available in the example project . The data file is property_values_train.csv.
Let's take a look at the flow.
- Open the Example Project.
- Scroll down to the Modeler flows section, click View all, and select the Automated Modeling for a Continuous Target flow.