NO.PZ201512020300000505
问题如下：
The target variable for the labelled training data to be used in Step 3 is most likely which one of the following?
选项：
A.A continuous target variable
A categorical target variable
An ordinal target variable.
解释：
B is correct. To predict which stocks are likely to become acquisition targets, the ML model would need to be trained on categorical labelled data having the following two categories: “0” for “not acquisition target”, and “1” for “acquisition
target”.
A is incorrect, because the target variable is categorical, not continuous.
C is incorrect, because the target variable is categorical, not ordinal (i.e., 1st, 2nd, 3rd, etc.).
这题感觉答案错误。实际操作肯定是选top5. 要不然每一组的判断标准全部不一样？为了选出5各结果而不断变换标准？
题目说use labeled data to train,证明是用已经贴了标签的数据：
比如是否上市五年（是1、否0），是否20%国有控股（是1、否0）等等，最终评分（0-1）.
A.0.9
B.0.8
C0.7
D0.6
E0.5
F0.4
G0.3
abcde入选。
按照之前的答疑：
如果选出来发现符合条件的超过5个，那么要做的是改变收购条件，让符合条件的只有5个，而不是要去排序。
如果怎么选都选不出5个呢？ 这个解释无法理解，望解惑，感谢！
