What is log loss metric?

Log loss, aka logistic loss or cross-entropy loss. This is the loss function used in (multinomial) logistic regression
multinomial) logistic regression
Multinomial logistic regression is a particular solution to classification problems that use a linear combination of the observed features and some problem-specific parameters to estimate the probability of each particular value of the dependent variable.
https://en.wikipedia.org › Multinomial_logistic_regression
Multinomial logistic regression - Wikipedia
and extensions of it such as neural networks, defined as the negative log-likelihood of a logistic model that returns y_pred probabilities for its training data y_true .

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2023-05-23 12:01:33

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