The training data set is used to train the machine learning model. Every new applicant's information entered on the application form serves as a test data set. The model will estimate whether a loan will be accepted or not based on the training data sets.
A classification algorithm is Logistic Regression. Given a set of independent variables, it is used to predict a binary outcome (1 / 0, Yes / No, True / False). The estimation of the Logit function is known as logistic regression.
Based on their financial information and previous data, Machine Learning algorithms can forecast which consumers would fail on their loans. For both companies and people, loan lending has played a significant role in their everyday lives.