In this video, you will use the root mean squared error, mean absolute error, and mean absolute percentage error to score the accuracy of your model. You will then learn how to visualize the productions of your model within the Jupyter Notebook within the Azure Machine Learning Studio cloud environment using scatter plots. You will also learn why it's important to ensure you are scoring the correct predictions; for time series forecast models, you will want to score the accuracy based on future predictions, for example.

For more tips like this, check out the working remotely playlist at . Also, if you need any further assistance then you can raise a support ticket and get it addressed.