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It measures the amount of divergence of predicted probability with the actual label. kula diamond ml So lesser the log loss value, more the perfectness of model. mpo189 login For a perfect model, log loss value = 0 For instance, as accuracy is the count of correct predictions i e the prediction that matches the actual label, Log Loss value is the measure of uncertainty