Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
that represents the loss function. A loss function quantifies the difference between predicted and actual values and is defined as follows: L = |y\{y}^| Here, y represents the actual output and y^​ represents the estimated value. We aim to minimize this loss function L during training to reach an