Practice Regression Vs Classification (7.2) - Chapter 7: Supervised Learning – Logistic Regression

Practice: Regression vs Classification

Lesson 7.2Supervised Learning – Logistic Regression

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8 questions

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6 sample questions

Question 1.
What type of output does regression predict?
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Think about what kind of numbers we can have in outcomes.
Question 2.
Which algorithm would you use for classification tasks?
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Remember that classification deals with categories.
3Question 3.
What type of values does regression predict?
- Categorical
- Continuous
- Binary
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Think of numerical predictions.
4Question 4.
True or False: Logistic Regression is used for regression tasks.
- True
- False
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Remember that regression and classification tasks are different.
Question 5.
Given a dataset with housing prices and features such as square footage and location, describe the approach you would take using regression.
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Think about how you'd set up your data for predictions.
Question 6.
If an email classifier shows that an email has a 30% probability of being spam, explain the classification decision based on this probability.
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Review the classification threshold concept.

4 more questions in this section. Enroll free to practise them all.