本站所有资源均为高质量资源,各种姿势下载。
This file contains the rmse function, which is a mathematical function that measures the difference between the predicted values and the actual values. The function is commonly used in regression analysis and machine learning algorithms to evaluate the accuracy of the model and to determine if the model is overfitting or underfitting. The rmse function calculates the square root of the mean of the squared differences between the predicted values and the actual values. It is an important tool in data analysis and can be used to compare the performance of different models or to determine the optimal parameters for a given model. Additionally, the rmse function can be extended to include other performance metrics, such as the mean absolute error or the R-squared value, depending on the specific needs of the analysis.