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intuition - What is perplexity? - Cross Validated I came across term perplexity which refers to the log-averaged inverse probability on unseen data Wikipedia article on perplexity does not give an intuitive meaning for the same This perplexity
machine learning - Why does lower perplexity indicate better . . . Thus, higher the log-likelihood, lower the perplexity Question: Doesn't increasing log-likelihood indicate over-fitting? Criteria like AIC and BIC are specifically designed to take into account likelihood and penalize for number of parameters in the model to avoid over-fitting Why is lower perplexity an indicator of better generalization