Practice Model Visualization - 4.1.9 | Module 2: Supervised Learning - Regression & Regularization (Weeks 3) | Machine Learning
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4.1.9 - Model Visualization

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of a scatter plot in regression analysis?

πŸ’‘ Hint: Think about how data points are represented graphically.

Question 2

Easy

Define what a residual is.

πŸ’‘ Hint: Consider how you determine the accuracy of a model's predictions.

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 is the main benefit of model visualization?

  • To simplify data entry
  • To help us see predictions vs actual data
  • To store data effectively

πŸ’‘ Hint: Think about the connection between predictions and actual outcomes.

Question 2

True or False: Residuals are useful in identifying patterns in model errors.

  • True
  • False

πŸ’‘ Hint: Consider why analyzing errors is important.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset with known actual values and predicted values, create a scatter plot and overlay a linear regression line. Discuss the visual implications of the fit.

πŸ’‘ Hint: Look for how far the points are from the line and any observable patterns.

Question 2

Analyze the effect of a polynomial regression line overlay on a scatter plot of data known to have a non-linear relationship.

πŸ’‘ Hint: Consider how the curve’s flexibility reflects the data’s oscillations.

Challenge and get performance evaluation