What is negative error?

A negative error occurs when the actual value is greater than the predicted or estimated value, resulting in a negative difference. It signifies that the prediction underestimated the true outcome. In statistical terms, it reflects a systematic bias in the model that may need correction. Understanding negative errors is crucial for improving accuracy in predictions and decision-making processes.