FRAMEWORK FOR DEVELOPING PREDICTIVE ANALYTICS MODELS USING MACHINE LEARNING ALGORITHMS

Abstract

A Framework for developing, training and deploying Predictive Analytics Models using Artificial Intelligence based Machine Learning algorithms is presented. The Framework is a collection of processes with User Interface and Data Processing components which interact with input data acquisition, output data visualization and data transmission systems. The key part of the Framework is automation of processes involved in building, training and deploying a model, with the aim of reducing the time and manual effort normally required in such tasks. The Framework also includes a proprietary method of machine learning algorithm selection process based on use case and certain characteristics of data, that ultimately results in improved accuracy of Predictive Analytics models for real time and non-real time applications.

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