Training data only contains single positive label



The dataset which I have only contains the positive label. How do I make a model which can predict whether the new data is positive or negative?

There’s no test data either. Just a CSV file with 50k rows all of which have target value as positive.

The target value can be yes or no. The training data only contains yes.


You will need some data with negative labels to train your model. Can you create some rows which can possibly have negative labels.