The intuition behind Logistic Regression loss function
Have you ever thought why we choose cross-entropy as the loss function for a logistic regression problem? Why not choose the average mean squared error for example ? The answer is very simple and intuitive! Cross-entropy loss function: Cross-entropy loss is defined as following:
The intuition behind Logistic Regression loss function Have you ever thought why we choose cross-entropy as the loss function for a logistic regression problem? Why not choose the average mean squared error for example ? The answer is very simple and intuitive! Cross-entropy loss function: Cross-entropy loss is defined as following: machine-learning
intuition behind Logistic Regression loss function ever thought choose crossentropy loss function logistic regression problem choose average mean squared error example answer simple intuitive Crossentropy loss function Crossentropy loss defined following machinelearning