Comparison of Random Forest and XGBoost for Lead Conversion Prediction to Improve Sales Forecasting Accuracy in CRM Systems
This study aims to compare the performance of Random Forest and XGBoost algorithms for customer lead scoring classification within a Customer Relationship Management (CRM) system for a CCTV business in Palembang City. The dataset consisted of 500 customer records collected from 2023 to 2025 and classified into three le...