Practice The Sigmoid Function (The Probability Squeezer) - 5.2.1 | Module 3: Supervised Learning - Classification Fundamentals (Weeks 5) | Machine Learning
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5.2.1 - The Sigmoid Function (The Probability Squeezer)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the output range of the Sigmoid function?

πŸ’‘ Hint: Think of probabilities.

Question 2

Easy

What is the formula of the Sigmoid function?

πŸ’‘ Hint: It involves exponential terms.

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 output of Οƒ(0)?

  • 0
  • 0.5
  • 1

πŸ’‘ Hint: Think of the threshold for decision boundaries.

Question 2

True or False: The Sigmoid function can output values below 0.

  • True
  • False

πŸ’‘ Hint: Recall the definition of the Sigmoid function.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

If you have a dataset where the predicted z values range from -5 to 5, calculate the Sigmoid outputs for both extremes and discuss their significance.

πŸ’‘ Hint: Use the Sigmoid formula for your calculations.

Question 2

Discuss how the choice of decision boundary affects model performance in logistic regression.

πŸ’‘ Hint: Consider the trade-offs involved.

Challenge and get performance evaluation