Cost Function, Non Convex Optimization, Logistic Regression, Log Loss Function.
the model predicts the target variable compared to the actual values. The goal is to minimize this cost function to optimize the model’s parameters. The most commonly used cost function for logistic regression is the log loss (or cross-entropy loss) function. Here’s a cost function that we’re going