Model Development Process

TL;DR

This paper introduces a generic Model Development Process inspired by RUP, aiming to standardize and facilitate automation in predictive modeling workflows across various fields.

Contribution

It proposes a new open standard for the model development lifecycle, comparing it with existing methodologies like CRISP-DM and ASUM-DM.

Findings

The proposed process aligns with existing methodologies.

It enables automation of model training, testing, and maintenance.

Facilitates tool creation for predictive modeling automation.

Abstract

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.