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 The article that I chose to look at is an introduction to the log-loss score and some intuition behind it: https://towardsdatascience.com/intuition-behind-log-loss-score-4e0c9979680a/
 
+The goal of this article is to show some of the intuition between log-loss rather than just providing formulas and showing how to apply them. It starts by defining classification problems and how models first predict a probability that an instance belongs to a certain class before then classifying them based on the probability. It then describes how log
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