Exercise - Train and evaluate multiclass classification models

In the last notebook, we looked at binary classification. This works well when the data observations belong to one of two classes or categories, such as "True" or "False". When the data can be categorized into more than two classes, you must use a multiclass classification algorithm.

In this exercise, you will Train and evaluate multiclass classification models. This exercise requires the Microsoft Learn sandbox to complete. You can access the exercise from the link below.

Exercise Link

Exercise - Train and evaluate multiclass classification models