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Classification Summary
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Which of the following statements best describes the differences between qualitative and quantitative classification methods in data classification?

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A

Qualitative classification deals with numerical data while quantitative classification focuses on non-numerical data.

B

Qualitative classification is based on categorical data while quantitative classification involves measurable quantities.

C

Both qualitative and quantitative classifications rely solely on numerical data.

D

Qualitative classification is used primarily for statistical analysis, whereas quantitative classification is for descriptive analysis.

Understanding the Answer

Let's break down why this is correct

Qualitative classification groups data by traits or labels, like color or type. Other options are incorrect because The mistake is thinking qualitative is numeric; This option assumes both types use only numbers.

Key Concepts

criteria for classification
qualitative vs. quantitative classification
data classification methods
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Classification Summary

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hard level question

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Definition
Definition

A summary of key points related to loss functions and classification evaluation metrics. It emphasizes the importance of selecting appropriate loss functions that align with the classification objectives to improve model performance.

Topic Definition

A summary of key points related to loss functions and classification evaluation metrics. It emphasizes the importance of selecting appropriate loss functions that align with the classification objectives to improve model performance.

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