Crossentropy, Logloss, and Perplexity: Different Facets of Likelihood

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.

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