Training a model on prepared data

Now that the data is ready, we will split it into train and test sets and run a simple model. The objective at this point is not to try to achieve the best performance, but rather to get some type of a benchmark result to use in the future as we try to improve our model.

Train and test data

When we build predictive models, we need to create two separate sets of data with the help of the following segments. One is used by the model to learn the task and the other is used to test how well the model learned the task. Here are the types of data that we will look at:

• Train data: The segment of the data used to fit the model. The model has access to the explainer variables or independent variables...