What is log-loss?

Data Science, AI and ML
#1

Logarithmic loss

#2

Logarithmic loss (related to cross-entropy) measures the performance of a classification model where the prediction input is a probability value between 0 and 1. The goal of our machine learning models is to minimize this value. A perfect model would have a log loss of 0.