模型建立好后，可以使用Sklearn库中metrics模块方法的评价指标进行模型效果评估，常用的数值预测（回归模型）的评价指标有以下哪些。【多选题】
A: mean_absolute_error
B: mean_squared_error
C: median_absolute_error
D: f1_score
E: r2_score
A: mean_absolute_error
B: mean_squared_error
C: median_absolute_error
D: f1_score
E: r2_score
举一反三
- 数字视频运动估算准则实现优化的梯度搜索方法使用准则是（）。 A: 平均绝对值差值mean absolute difference (MAD) B: 平均平方误差mean squared error (MSE) C: 最小二乘法least-squares D: 位移帧差
- if you buy a 100-square-meter house, the area that the developer finally delivered is 5 square meters less, then the correct one in the error description of the actual area is ( ). A: the absolute error is 0.05 B: The relative error is 0.05 C: the absolute error is -5 square meters D: The relative error is -0.05
- The standard error of estimate is based on:? squared deviations from the regression line.|negative values.|squared units of the independent variable.|the regression mean square error.
- 常用的数学模型有 A: 统计回归模型 B: 图论模型 C: 微分方程模型 D: 优化模型 E: 评价模型 F: 预测模型 G: 决策模型 H: 模拟模型
- The standard error of the mean is never larger than the standard deviation of the population.