NO.PZ2021083101000015
问题如下：
Achler has the data ready for the model training process. Rivera asks Achler to include start-up failure rates as a feature. Achler notices that the number of start-ups that fail (majority class) is significantly larger than the number of the start-ups that are successful (minority class).
Achler is concerned that because of class imbalance, the model will not be able to discriminate between start-ups that fail and start-ups that are successful.
Achler’s model training concern related to the model’s ability to discriminate could be addressed by randomly:
选项：
A.oversampling the failed start-up data
oversampling the successful start-up data
undersampling the successful start-up data
解释：
B is correct.
Achler is concerned about class imbalance, which can be resolved by balancing the training data. The majority class (the failed start-up data) can be randomly undersampled, or the minority class (the successful start-up data) can be randomly oversampled.
考点：Model Training: Model Selection
这道题好像跟之前那道题重复的，但是还是挺疑惑的，如果问重复请忽略。如果没有，麻烦解析一下吧，谢谢
