Leveraging Machine Learning to Detect Fraud: Tips to Developing a Winning Kaggle Solution

A value count on the target label shows that only 3.5% of the transactions are labeled fraudulent. Typically, fraudulent transactions make up a small percentage of transactions. Correlation can help you understand the linear relationship between features and between features and the target. A correlation can range between -1 (perfect negative relationship) and 1 (perfect positive relationship), with 0 indicating no straight-line relationship. Visualizing the data helps with feature selection by revealing trends in the data.