I have a historical data set for customers for a particular company. Target class being Yes/NO (Would a customer subscribe to a new product.)
I need to develop a classification approach to predict which individuals are more likely to subscribe to the product. This might involve statistical analysis and model selection. What can be the possible steps that I can incorporate in the mining process, what kind of classifiers can I use, would really appreciate a step by step brief.
Ideally, I want to use orange data mining suite for the same.