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What is Logistic Regression Cost Function Explained about?

Logistic Regression is a supervised learning algorithm for classification that uses a cost function based on log loss to measure prediction accuracy. Unlike mean squared error, log loss ensures a convex cost function, allowing for optimal parameter values to be found through gradient descent. The algorithm iteratively updates model parameters to minimize the cost function, enhancing prediction performance.

Author

Sumehra Kazi

Language

EN