Explain logistic regression and its cost function, difference between logistic regression and linear regression,disadvantage of logistic regression?

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Accepted Answer

Logistic regression is a classification algorithm used to predict binary outcomes.

Logistic regression uses a sigmoid function to map input values to a probability score.
The cost function for logistic regression is the negative log-likelihood function.
Unlike linear regression, logistic regression is used for classification tasks.
Logistic regression assumes a linear relationship between the input variables and the log-odds of the output variable.
A disadvantage of logistic regression is that it can only model linear decision boundaries.

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