This thesis is focused on detecting the probability of credit card fraud occurrence according to seven relative independent variables by using logistic regression, support vector machine,
decision tree, and k-NN models. The dataset provided by Dhanush Narayanan R from Kaggle
contains one million of data [1]. The final goal is to compare these four models and find the
most accurate model.