I want to ask wich algorithm can I use to do a sequences classification , knowing that I have two classes (positive /negative), but training is done using data from one class only (positive).
Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. It only takes a minute to sign up.Sign up to join this community
Is impossible to determine a model when the data you have has only one class, does not matter if they sequences, transactions, people, etc. How can your model learn the differences between categories?
The possibility you have is to run a cluster analysis on your dataset and look which variables may help you find separations between individuals, but you have to make sure that eventually you can have positives and negatives in your dataset.