Optimizing Logistic Regression for Flawless Fraud Detection in Digital Payments

The rise in online transactions and e-commerce in the digital era has resulted in more fraudulent activity, which presents major difficulties for financial institutions and internet stores. Often depending on manual inspection and rule-based systems, traditional fraud detection techniques fight against advanced and high-volume fraud. the logistic regression across the real-world transaction data. Examining strategies to improve predictive power, it contrasts the performance of the model against conventional approaches and other machine learning systems. It highlights the benefits of applying the logistic regression for fraud detection, so supporting sustainable development goals including industry innovation, lower inequality, and strong institutions by means of insights and methods to help businesses protect their customers and lower financial losses.