📚 Learning Guide
Iris Dataset
hard

In the context of the Iris dataset, the feature that is most commonly used for distinguishing between the species based on petal measurements is the __________.

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Learning Path
Learning Path

Question & Answer
1
Understand Question
2
Review Options
3
Learn Explanation
4
Explore Topic

Choose the Best Answer

A

Petal width

B

Sepal length

C

Sepal width

D

Petal length

Understanding the Answer

Let's break down why this is correct

Answer

In the Iris dataset, the feature most often used to separate the species is petal length. This is because the different species have distinct petal lengths: setosa has short petals, while versicolor and virginica have progressively longer petals. By measuring petal length, a simple rule like “petal length > 5 cm” can already tell you whether a flower is setosa or not. For example, a flower with a petal length of 4. 5 cm is almost certainly setosa, whereas 6.

Detailed Explanation

Petal length changes a lot between the three species. Other options are incorrect because The width of the petals is not as different between species; The length of the sepals is fairly similar across species.

Key Concepts

Classification
Feature selection
Iris dataset
Topic

Iris Dataset

Difficulty

hard level question

Cognitive Level

understand

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