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Questions and Answers
What is logistic regression?
What is logistic regression?
Logistic regression is a supervised machine learning algorithm mainly used for classification tasks where the goal is to predict the probability that an instance belongs to a given class.
Why is logistic regression referred to as regression?
Why is logistic regression referred to as regression?
Logistic regression is referred to as regression because it takes the output of the linear regression function as input and uses a sigmoid function to estimate the probability for the given class.
What is the difference between linear regression and logistic regression?
What is the difference between linear regression and logistic regression?
The difference between linear regression and logistic regression is that linear regression output is a continuous value that can be anything, while logistic regression predicts the probability that an instance belongs to a given class or not.
What is the purpose of logistic regression?
What is the purpose of logistic regression?
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What type of outcome variable does logistic regression predict?
What type of outcome variable does logistic regression predict?
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Study Notes
Understanding Logistic Regression
- Logistic regression is a statistical method used to predict the outcome of a categorical dependent variable, based on one or more predictor variables.
- Despite its name, logistic regression is actually a classification method, not a regression method, as it predicts a discrete outcome rather than a continuous one.
Differences from Linear Regression
- Logistic regression differs from linear regression in that it predicts the probability of an event occurring (yes/no, 0/1, etc.) rather than a continuous value.
- The outcome variable in logistic regression is binary, whereas in linear regression, it is continuous.
Purpose and Outcome
- The purpose of logistic regression is to predict the probability of an event occurring, based on a set of predictor variables.
- Logistic regression predicts the probability of an event occurring, typically represented as a value between 0 and 1, or a percentage.
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Description
Test your knowledge of logistic regression with this quiz! Learn about the fundamentals of this popular classification algorithm and its applications in machine learning.
