The normalized Mean Square Error (nMSE) function serves as a useful metric for evaluating model and algorithm effectiveness. This normalized metric offers a detailed perspective across varying concentration ranges, making it independent of the actual magnitudes involved. It quantifies the discrepancy between the predicted and observed outputs of a system, with normalization applied relative to the variance of the actual output. The mathematically representation is defined as: