Coding Challenge: Make Predictions and Plot Model

Evaluate a classification model by making predictions on the test dataset.

Problem statement

In the following challenge, we’ll evaluate and plot a classification model by making predictions on the test dataset that is created during PyCaret environment initialization. The model variable is classification_model, and the result will be assigned to a variable named predictions. After doing that, we are going to finalize the model and assign it to the final_model variable. Finally, we will plot the decision boundaries of the model, by using the appropriate function and parameter.

Expected output

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