What is the mathematical objective function that logistic regression optimizes?

Question

Data Science with Python — Hard

What is the mathematical objective function that logistic regression optimizes?

Accepted Answer

Logistic regression optimizes the binary cross-entropy (log loss) function, which maximizes the log-likelihood of the training data. This penalizes confident wrong predictions more heavily than uncertain ones, making it a suitable objective for binary classification tasks.