Could any one help me know about different approaches, methods or algorithms to build a model only with positive responses.
Let's assume we have a set of customers with a 'positive' behaviour. We want to find customers with a similar profile in the database and that are more likely to have this positive behaviour in the future. This can't be modeled with 0/1 target variable because there's not a clear definition of a 'negative' behaviour.
It looks like a look-alike modeling. However I think that look-alike modeling assumes knowing the response (0/1) for the given set of people (treatment group) and finding similar people in the control group to predict their responses.
Thanks in advance of your response!