Exploring the Intuition Behind Log Loss in Machine Learning
Log Loss Log loss, or logarithmic loss, is a generic term that refers to the negative log-likelihood of the true labels given a set of predicted probabilities. Cross Entropy Loss Cross-entropy loss, in a broad sense, measures the difference between two probability distributions. while the terms “Cross-Entropy Loss” and “Log Loss” are used interchangeably, the […]