Crossentropy, Logloss, and Perplexity: Different Facets of Likelihood

Machine Learning Tech Brief By HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/crossentropy-logloss-and-perplexity-different-facets-of-likelihood.
We explore the link between three popular loss functions: crossentropy, logloss and perplexity
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Machine learning is centered on creating models that predict accurately. Evaluation metrics offer a way to gauge a model's efficiency, which allows us to refine or even switch algorithms based on performance outcomes.