What are the differences between regression algorithms?
An example of an AI chatbot conversation about differences between regression algorithms.
What are the differences between regression algorithms?
There are several types of regression algorithms, including linear regression, polynomial regression, and logistic regression. Each has its own use cases and assumptions.
Can you explain linear regression in more detail?
Sure! Linear regression models the relationship between a dependent variable and one or more independent variables using a straight line. It's best for predicting continuous outcomes.
What about polynomial regression?
Polynomial regression extends linear regression by fitting a polynomial equation to the data. It's useful for capturing non-linear relationships.
When should I use logistic regression?
Logistic regression is used when the dependent variable is categorical, such as binary outcomes. It estimates the probability of a certain class.
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