NO.PZ2015120204000029
问题如下：
Paul suggests the following step which would be repeated every quarter.
Step 1 We apply ML techniques to a model including fundamental and technical variables (features) to predict next quarter’s return for each of the 100 stocks currently in our portfolio. Then, the 20 stocks with the lowest estimated return are identified for replacement.
The machine learning techniques appropriate for executing Step 1 are most likely to be based on:
选项：
A.regression
classification
clustering
解释：
A is correct. The target variable (quarterly return) is continuous, hence this calls for a supervised machine learning based regression model.
B is incorrect, since classification uses categorical or ordinal target variables, while in Step 1 the target variable (quarterly return) is continuous.
C is incorrect, since clustering involves unsupervised machine learning so does not have a target variable.
解析这句话，能不能作为结论认为回归模型也是一种机器学习，只是结果是连续的
