Practice LightGBM - 5.5.1 | 5. Supervised Learning – Advanced Algorithms | Data Science Advance
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LightGBM

5.5.1 - LightGBM

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is LightGBM primarily used for?

💡 Hint: Think about its primary function in machine learning.

Question 2 Easy

What method does LightGBM use to grow trees?

💡 Hint: Consider how trees are built in this algorithm.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary benefit of LightGBM?

Slower training speed
Efficient handling of categorical features
Inability to process large data

💡 Hint: Think about how unique data types can affect model handling.

Question 2

True or False: LightGBM uses a level-wise growth strategy for trees.

True
False

💡 Hint: Remember how trees are constructed in this framework.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset with 1 million entries, how would you approach using LightGBM for analysis? Outline your steps.

💡 Hint: Think about the steps from data loading to model validation.

Challenge 2 Hard

If you notice LightGBM is overfitting your training data, what strategies could you employ to reduce this?

💡 Hint: Review common solutions for mitigating overfitting in machine learning models.

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