Training data only contains single positive label

machine_learning
data_science
python

#1

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.


#2

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