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I have this question. I have a dataset with unique IDs (people).
Each one has some attributes. I want to classify them to good and bad customers.
Since I donot have a training set (i.e. having for some IDs their score 0 or 1), how can I classify them to 2 groups?
I understand that regression (logistic for example) cannot take place since I donot have a dependent variable.
One solution could be clustering for example and have only 2 clusters? (If I am lucky and these are well differentiated).