NMSE值：3770.357232149288 - 模型预测精度评估

NMSE (Normalized Mean Square Error) is a measure of the accuracy of a prediction model. It is calculated by dividing the mean square error (MSE) by the variance of the target variable. The lower the NMSE value, the better the model's accuracy.

In this case, the NMSE value is 3770.357232149288. Without any additional context, it is difficult to determine the quality of this value. However, a high NMSE value suggests that the model's predictions have a relatively large error compared to the variance of the target variable, indicating that the model may not be accurately capturing the underlying patterns in the data.