Python: Advanced Guide to Artificial Intelligence

Using the trained model to predict

Now that you have the trained model, it can be used to make predictions about new data. The predictions from the linear model are made with the understanding of some minimum mean squared error that we saw in the previous plot because the straight line may not fit the data perfectly.

To get a better fitting model, we have to extend our model using different methods such as adding the linear combination of variables.