What are the differences between linear and logistic regression?
An example of an AI chatbot conversation about comparing regression methods.
What are the differences between linear and logistic regression?
Linear regression is used for predicting continuous outcomes, while logistic regression is used for binary outcomes.
Can you explain how the assumptions differ between the two?
Sure! Linear regression assumes a linear relationship and homoscedasticity, while logistic regression assumes a logit link function.
Which method is better for a dataset with a binary target variable?
Logistic regression is better suited for binary target variables as it models the probability of the outcome.
Are there any other regression methods I should consider?
Yes, you might also consider polynomial regression, ridge regression, or lasso regression depending on your data.
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