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What is the main purpose of testing in Artificial Intelligence?

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Answer and explanation

Correct answer: परिणामों की शुद्धता और विश्वसनीयता की जाँच करना

Testing evaluates how well an AI model performs on suitable data or situations that were not used in the same way for training. It helps measure accuracy, reliability, errors, and sometimes fairness or robustness. Testing is not about shutting down the system, hiding data, or removing its purpose; it is evidence-based evaluation before or during use.

Tags

artificial intelligenceai testingmodel evaluationAI Project CycleReflectionProject Cycleand Ethicsreflection project cycle and ethicsClass 9 MCQ

Frequently asked questions

What is the correct answer to this question?

परिणामों की शुद्धता और विश्वसनीयता की जाँच करना

Why is this the correct answer?

Testing evaluates how well an AI model performs on suitable data or situations that were not used in the same way for training. It helps measure accuracy, reliability, errors, and sometimes fairness or robustness. Testing is not about shutting down the system, hiding data, or removing its purpose; it is evidence-based evaluation before or during use.

Which subject and chapter does this question cover?

This is a Class 9 Artificial Intelligence question. Chapter: Reflection, Project Cycle, and Ethics. Topic: AI Project Cycle.

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