NO.PZ202108310100000103
问题如下：
What percentage of Dataset ABC should be allocated to a training subset?
选项：
A.0%
20%
60%
解释：
A is correct; 0% of the master dataset of Dataset ABC should be allocated to a training subset. Dataset ABC is characterized by the absence of ground truth (i.e., no known outcome or target variable) and is therefore an unsupervised ML model.
For unsupervised learning models, no splitting of the master dataset is needed, because of the absence of labeled training data.
Supervised ML datasets (with labeled training data) contain ground truth, the known outcome (target variable) of each observation in the dataset.
B is incorrect because 20% is the commonly recommended split for the crossvalidation set and test set in supervised training ML datasets.
C is incorrect because 60% is the commonly recommended split for the training set in supervised training ML datasets.
For unsupervised learning models, no splitting of the master dataset is needed, because of the absence of labeled training data.
unsupervised 不需要 training data， 是这个意思吗?
