📚 Learning Guide
Iris Dataset
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Which feature combination is most effective for classifying iris species in the dataset?

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Learning Path
Learning Path

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

Choose AnswerChoose the Best Answer

A

Sepal length and sepal width

B

Petal length and petal width

C

Sepal width and petal length

D

All features equally contribute

Understanding the Answer

Let's break down why this is correct

The two petal measurements separate the species very well. Other options are incorrect because People think sepal size is the key, but sepals are similar across species; Mixing one sepal and one petal measurement is not enough.

Key Concepts

Classification Techniques
Feature Selection
Data Visualization
Topic

Iris Dataset

Difficulty

medium level question

Cognitive Level

understand

Deep Dive: Iris Dataset

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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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