Question: For each of the machine learning model evaluation metrics below present, (ii) use cases (in which situations should be used), (iii) advantages and disadvantages. Error

For each of the machine learning model evaluation metrics below present, (ii) use cases (in which situations should be used), (iii) advantages and disadvantages.

Error 0/1 Absolute error. Mean square error. Worst-case error. Likelihood (Likelihood). Log-likelihood (log-likelihood)

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Here is a detailed explanation for each of the machine learning model evaluation metrics listed along with their use cases advantages and disadvantages 1 Error 01 ZeroOne Loss ii Use Cases Classificat... View full answer

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