NO.PZ2021083101000009
问题如下：
Bector makes the following remarks regarding model training:
Remark 1: Method selection is governed by such factors as the type of data and the size of data.
Remark 2: In the performance evaluation stage, model fitting errors, such as bias error and variance error, are used to measure goodness of fit.
Which of Bector’s remarks related to model training is correct?
选项：
A.Only Remark 1
Only Remark 2
Both Remark 1 and Remark 2
解释：
A is correct. Only Remark 1 is correct.
Method selection is the first task of ML model training and is governed by the following factors: (1) supervised or unsupervised learning, (2) the type of data, and (3) the size of data. The second and third tasks of model training, respectively, are performance evaluation and tuning.
Remark 2 is incorrect because model fitting errors (bias error and variance error) are used in tuning, not performance evaluation. The techniques used in performance evaluation, which measure the goodness of fit for validation of the model, include (1) error analysis, (2) receiver operating characteristic (ROC) plots, and (3) root mean squared error (RMSE) calculations.
B and C are incorrect because Remark 2 is incorrect.
考点：Model Training - Tuning
麻烦老师解析一下吧，谢谢
