Perfectly Fraud Detection in Digital Payments: Optimizing Logistic Regression

The rise in fraudulent conduct coming from the spike in online transactions and e-commerce in the digital era presents major issues for financial institutions and online companies. Often depending on rule-based technology and hand inspection, traditional fraud detection techniques combat sophisticated and high-volume fraud. the logistic regression applied on the real-world transactional data. Analyzing approaches to boost predictive capacity contrasts the performance of the model with conventional approaches and other machine learning systems. It underlines the benefits of using the logistic regression for fraud detection, so supporting sustainable development goals including industry innovation, reduced inequality, and strong institutions by means of insights and approaches to help companies protect their consumers and reduce financial losses.