  Predictive modeling has an increasing number of applications in various
fields. High demand for predictive models drives creation of tools that
automate and support work of data scientist on the model development. To better
understand what can be automated we need first a description of the model
life-cycle. In this paper we propose a generic Model Development Process (MDP).
This process is inspired by Rational Unified Process (RUP) which was designed
for software development. There are other approached to process description,
like CRISP DM or ASUM DM, in this paper we discuss similarities and differences
between these methodologies. We believe that the proposed open standard for
model development will facilitate creation of tools for automation of model
training, testing and maintaining.
