Practice Features - 5.4.2 | 5. Supervised Learning – Advanced Algorithms | Data Science Advance
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main purpose of regularization in XGBoost?

💡 Hint: Think about how we can simplify models.

Question 2

Easy

Describe what tree pruning means in the context of XGBoost.

💡 Hint: Consider how you would streamline something that has extra parts.

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 types of regularization does XGBoost support?

  • L1 only
  • L2 only
  • Both L1 and L2
  • None

💡 Hint: Remember the definitions of L1 and L2.

Question 2

True or False: XGBoost handles missing values by requiring preprocessing for imputation.

  • True
  • False

💡 Hint: Think about how XGBoost's efficiency benefits users.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Explain how both L1 and L2 regularization in XGBoost can be strategically used. Provide a hypothetical scenario where you would favor one over the other.

💡 Hint: Consider a scenario where feature elimination would either help or hinder performance.

Question 2

Critique the impact of parallel processing on model training time compared to traditional sequential processing in algorithms. Discuss potential downsides.

💡 Hint: Analyze both the advantages and challenges of using parallel processing.

Challenge and get performance evaluation