Hands-On Data Warehousing with Azure Data Factory

Score and evaluate the model

As we anticipated in the previous section, so far we have used 70% of the data for model training; now it is possible to use the remaining 30% to test its functioning. To do this, we will use the Score Model module. This module scores predictions for a trained classification or regression model. Follow this procedure:

1. Select the Score Model module. The Score Model module is located at the following path of the module palette: Machine Learning | Score. Drag the Score Model module to the experiment canvas area.
2. Connect the output port of the Train Model module to the left input port of the Score Model module.
3. Connect the test data output port of the Split Data module (right output port) to the right input port ...