Practice Components of AI Modelling - 7.4 | 7. Modelling | CBSE Class 10th AI (Artificial Intelleigence)
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7.4 - Components of AI Modelling

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What are the two main components of data used in AI models?

💡 Hint: Think about what allows the model to learn and what it tries to predict.

Question 2

Easy

What is the purpose of an algorithm in AI modelling?

💡 Hint: Remember what you use to teach the model.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What are the two primary components of data in AI modelling?

  • Input features and targets
  • Data and models
  • Algorithms and data

💡 Hint: Recall the basics of what data consists of.

Question 2

Linear Regression is an example of which AI modelling component?

  • Data
  • Algorithm
  • Model

💡 Hint: Think about which part gives direction to the model.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Suppose you have a dataset with missing values; propose strategies you could employ to clean the dataset before using it to train a model.

💡 Hint: Consider what techniques can fill in blanks or eliminate gaps to improve data quality.

Question 2

Design an experiment where you compare the performance of two algorithms (e.g., Decision Trees vs. KNN) on the same dataset. What metrics would you use to evaluate their performance?

💡 Hint: Think about how you measure success in any experiment or competition.

Challenge and get performance evaluation