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It measures the amount of divergence of predicted probability with the actual label. togelhoki8 login So lesser the log loss value, more the perfectness of model. hapus akun ig tanpa 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