以下内容需要积分高于 188 您已经可以浏览\n\n\n. From 1point 3acres bbs\n\n\n\n\n\n\n\n\n====\nName reasons to use MSE over MAE when training a regression model. Note, that target variable is represented as a car price in $ and is not to be scaled.\n--MSE function is continuous, while MAE function is discontinuous.\n\n-- MSE metric Is more sensitive to Blas of the error than the MAE metric.\n-- MSE function is a continuously differentiable function, while MAE function is not, which makes calculations with MSE metric easier to implement.\n--MSE function is a convex function, while MAE function is not, which makes calculations with MSE metric easier to implement.\n-- MSE metric applies greater penalty for greater errors than MAE metric.. ----\n====\n\n=========\n（多选题）有一个overfit的模型，有什么方法改善模型。\n（coding）pandas基础dataframe 处理，增加减少列，合并。\n（coding）SQL查数