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台风来了 · 2023年08月04日

most likely to become acquisition targets

NO.PZ2023040502000052

问题如下:

Paul suggests the following step which would be repeated every quarter.

Step 3 For each of the 20 different groups, we use labeled data to train a model that will predict the five stocks (in any given group) that are most likely to become acquisition targets in the next one year.

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

B.

A categorical target variable

C.

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.).

老师,您好!


根据打了标签的数据训练AI模型,预测最可能的并购目标,我理解是对目标预测出一个概率啊,那应该是连续的才对啊。麻烦老师解释一下,谢谢!

1 个答案

星星_品职助教 · 2023年08月11日

同学你好,

本题的target variable只有两种可能:1)acquisition target;2)no acquisition target;这是典型的categorical variable或者说二值变量。

即使使用logistic regression的方式来做,也是算出概率后去跟一个门槛值相比,高于门槛值时就认为target variable(即Y变量)=1,低于门槛值时Y=0。最终的结果依然是0和1的二值变量。

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