Logistic regression (LR) and support vector machine algorithms. together with linear and nonlinear deep neural networks (DNNs). are applied to lending data in order to replicate lender acceptance of loans and predict the likelihood of default of issued loans. A two-phase model is proposed; the first phase predicts loan rejection. https://www.roneverhart.com/Viseart-Cashmerie-Etendu-Palette/