Practice Train The Logistic Regression Model (7.6) - Chapter 7: Supervised Learning

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6 sample questions

Question 1.
What is the target variable in our dataset?
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It's the variable we want to predict.
Question 2.
What is the feature we are using in our logistic regression model?
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Look for the input variable.
3Question 3.
Which one of the following is the target variable in logistic regression?
- Hours_Studied
- Passed
- Study_Pattern
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It's what we want to know after studying hours.
4Question 4.
True or False: Logistic Regression is a regression algorithm.
- True
- False
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Think about what kind of output it predicts.
Question 5.
Given a dataset of student hours and pass rates, design a logistic regression model from scratch. What steps would you take?
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Consider what preprocessing you might need to do.
Question 6.
In certain situations, logistic regression may not work well. What could these situations be, and why?
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Think of how data might look if we do plots.

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