Learning Path
Question & Answer1
Understand Question2
Review Options3
Learn Explanation4
Explore TopicChoose 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
Practice Similar Questions
Test your understanding with related questions
1
Question 1In a data visualization of the Iris dataset, which relationship would you expect to see between petal width and petal length for the species setosa compared to versicolor?
mediumComputer-science
Practice
2
Question 2Which feature combination is most effective for classifying iris species in the dataset?
mediumComputer-science
Practice
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