How would the Iris dataset be useful in classifying different species of iris plants?

The Iris dataset contains measurements of sepal length, sepal width, petal length, and petal width for 150 iris flowers, with each flower labeled as one of three species. By using these four numerical features, a teacher can show students how a simple algorithm, such as a nearest‑neighbor rule, can look at a new flower’s measurements and find the most similar recorded flower to guess its species. The dataset’s balanced size lets learners split the data into training and testing sets to see how accurately the algorithm predicts unseen examples, illustrating concepts like bias and variance. For example, a flower with a petal length of 5. 0 cm and width of 1.