When should we use log loss?
When should we use log loss? Log-loss is an appropriate performance measure when you’re model output is the probability of a binary outcome. The log-loss measure considers confidence of the prediction when assessing how to penalize incorrect classification. What is an acceptable log loss? While the ideal log loss is zero, the minimum acceptable log […]