Clearance Date Prediction Using Machine Learning Techniques

Abstract

Machine learning is the cutting-edge technology in today's corporate world, making it the first choice for prediction or calculated suggestions relying on heavy amount of data. As companies are evolving towards technological advancement, they are trying to gather as much statistical knowledge as possible regarding their customers and trying to analyze and use that knowledge towards the firm's growth. Machine learning being the top-most of its genre provides the pathway to all of those technological achievements like predictions, statistical analysis, success rate of each customer companies, etc. Machine learning techniques such as linear regression (LR), XGBoost, random forest, and decision tree can be useful for the prediction problems. Here in this work, the authors use data pre-processing and feature selection before applying these machine learning models for predicting the clearance due date.