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The Iris dataset represents a multiclass, multidimensional classification task

In this section, we will restate the facts about the Iris dataset and describe it in the context of an ML classification task:

• The Iris dataset classification task is multiclass because a prediction of the class of a new incoming Iris flower from the wild can belong to any of three classes.
• Indeed, this chapter is all about attempting a species classification (inferring the target class of a new Iris flower) using sepal and petal dimensions as feature parameters.
• The Iris dataset classification is multidimensional because there are four features. 
• There are 150 observations, where each observation is comprised of measurements on four features. These measurements ...