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Subjects

Which quality of good data is necessary in Artificial Intelligence?

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Answer and explanation

Correct answer: Being relevant and correct

AI systems depend on data to learn patterns and produce outputs. Data should be relevant to the problem and accurate enough to represent the situation; otherwise, the model may learn misleading relationships or make unreliable predictions. Option A gives two essential qualities. Intentionally wrong, incomplete, or unrelated data can reduce performance and create unfair results.

Tags

data qualityaccuracyrelevanceData featuresData LiteracyArtificial IntelligenceClass 9 MCQ

Frequently asked questions

What is the correct answer to this question?

Being relevant and correct

Why is this the correct answer?

AI systems depend on data to learn patterns and produce outputs. Data should be relevant to the problem and accurate enough to represent the situation; otherwise, the model may learn misleading relationships or make unreliable predictions. Option A gives two essential qualities. Intentionally wrong, incomplete, or unrelated data can reduce performance and create unfair results.

Which subject and chapter does this question cover?

This is a Class 9 Artificial Intelligence question. Chapter: Data Literacy. Topic: Data features.

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