  Classification is one of the widely used analytical techniques in data
science domain across different business to associate a pattern which
contribute to the occurrence of certain event which is predicted with some
likelihood. This Paper address a lacuna of creating some time window before the
prediction actually happen to enable organizations some space to act on the
prediction. There are some really good state of the art machine learning
techniques to optimally identify the possible churners in either customer base
or employee base, similarly for fault prediction too if the prediction does not
come with some buffer time to act on the fault it is very difficult to provide
a seamless experience to the user. New concept of reference frame creation is
introduced to solve this problem in this paper
