A scoring experiment is one where you use a trained model module to make a prediction (scoring). You can create a new experiment, use a Trained Model module, and make a prediction with a dataset. ML Studio makes it really easy for you with a single button, as you can see in the following screenshot:
The button becomes active when the training experiment is run successfully. Run your Income Predictor experiment successfully and then click on the CREATE SCORING EXPERIMENT button to create a scoring experiment corresponding to the existing one. After this is done, you will see the following screenshot:
Behind the scenes, ML Studio has done the following tasks for you:
It saved your trained model as a module in the Trained Models section of the module palette to the left of the screen.
It created a copy of the existing training experiment then replaced the machine learning algorithm module and the Train Model module with the saved trained model.
It removed the modules...