Class 12 Artificial Intelligence - Part B Subject Specific Skills - Data Processing Easy Quiz

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आंकड़ा सफाई में अधूरे मानों को क्यों संभाला जाता है?

Why are missing values handled in data cleaning?

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Correct Answer

A. क्योंकि वे विश्लेषण और प्रशिक्षण को प्रभावित कर सकते हैंBecause they can affect analysis and training

Step 1

Concept

A missing value means some information is absent.

Step 2

Why this answer is correct

Such values may lead to wrong conclusions or weak training.

Step 3

Exam Tip

So they may need filling removing or checking. चरण 1: अधूरा मान बताता है कि कुछ जानकारी गायब है। चरण 2: ऐसे मान गलत निष्कर्ष या कमजोर प्रशिक्षण दे सकते हैं। चरण 3: इसलिए उन्हें भरना हटाना या जांचना जरूरी हो सकता है।

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आंकड़ा रूपांतरण का उपयोग किसलिए किया जाता है?

What is data transformation used for?

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Correct Answer

A. आंकड़ों को उपयुक्त रूप में बदलने के लिएTo convert data into a suitable form

Step 1

Concept

Raw data are not always ready for training.

Step 2

Why this answer is correct

Transformation converts them into a suitable form.

Step 3

Exam Tip

This makes analysis and learning easier. चरण 1: कच्चे आंकड़े हमेशा प्रशिक्षण के लिए तैयार नहीं होते। चरण 2: रूपांतरण उन्हें उपयुक्त रूप में बदलता है। चरण 3: इससे आगे का विश्लेषण और अधिगम आसान होता है।

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विशेषता चयन का मुख्य उद्देश्य क्या है?

What is the main purpose of feature selection?

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Correct Answer

A. महत्वपूर्ण गुणों को चुनकर प्रतिरूप को बेहतर बनानाTo improve the model by selecting important attributes

Step 1

Concept

All features are not equally useful.

Step 2

Why this answer is correct

Choosing important features can improve learning.

Step 3

Exam Tip

This can make the model simpler and more effective. चरण 1: सभी विशेषताएं समान रूप से उपयोगी नहीं होतीं। चरण 2: महत्वपूर्ण विशेषताओं को चुनने से सीखना बेहतर हो सकता है। चरण 3: इससे प्रतिरूप सरल और प्रभावी बन सकता है।

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Class 12 Artificial Intelligence Quiz FAQs

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