This model is to classify borrowers according to their commitment to repaid the loans. This is to decide whether they can get future loans or not.
Introduction:Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that include loans data. Local development corporations are required to report information on the projects they support and how those approved projects are financed (either through grants, loans, or bonds). The dataset consists of loans data reported by Local Development Corporations beginning with fiscal years ending in 2011.About The Dataset:- This dataset contains 13,513 loans with 18 variables (columns) on each loan (rows), including loan amount, borrower rate (or interest rate), original loan amount, loan term completed, and many others.To make sure about the data cleaning process on the Modeler, I make a data cleaning on IBM Data Refinery as a separate process.Also, I used Watson Studio in a separate exploratory analysis for the same dataset. Through this process, I created an exploratory Notebook, Slides Notebook, and HTML presentation file.Using IBM Watson Studio, SPSS Machine Learning Modeler:Steps: