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

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A

It allows for the measurement of physical characteristics to identify species.

B

It provides a random selection of species without any measurement.

C

It only includes one species, limiting classification options.

D

It is only applicable for clustering tasks, not classification.

Understanding the Answer

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The dataset records the lengths and widths of sepals and petals. Other options are incorrect because The dataset does not give random names; it contains precise measurements; The dataset includes three species, not one.

Key Concepts

Data Classification
Iris Dataset Features
Machine Learning Algorithms
Topic

Iris Dataset

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easy level question

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Definition
Definition

The Iris dataset is a well-known dataset introduced by Fisher in 1936, containing measurements of iris plants from three different species. It includes features like sepal length, sepal width, petal length, and petal width, making it a common choice for classification and clustering tasks.

Topic Definition

The Iris dataset is a well-known dataset introduced by Fisher in 1936, containing measurements of iris plants from three different species. It includes features like sepal length, sepal width, petal length, and petal width, making it a common choice for classification and clustering tasks.

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