Practice Supervised Learning – Logistic Regression - 7 | Chapter 7: Supervised Learning – Logistic Regression | Machine Learning Basics
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7 - Supervised Learning – Logistic Regression

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of logistic regression?

💡 Hint: Think about what types of outcomes it is used for.

Question 2

Easy

What value range does the sigmoid function produce?

💡 Hint: Consider how probabilities are expressed.

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 type of output does logistic regression produce?

  • Continuous Values
  • Probabilities
  • Categorical Values

💡 Hint: Consider the range of the sigmoid function.

Question 2

Which of the following is used to visualize logistic regression?

  • Confusion Matrix
  • Sigmoid Curve
  • Accuracy Score

💡 Hint: Think about how classification changes with different inputs.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a logistic regression model that has a confusion matrix with the values: TP = 15, TN = 20, FP = 5, FN = 10. Calculate the model's accuracy and explain its significance.

💡 Hint: Use the total number of true results over the total number of all cases.

Question 2

Given a logistic regression model's output probability of 0.65 for a new test case, discuss what classification it will yield and the implications of changing the threshold to 0.7.

💡 Hint: Always consider how threshold adjustments impact the sensitivity and specificity.

Challenge and get performance evaluation