Prediction of Customer Time Deposit Subscriptions Based on Bootstrap Uncertainty Quantification
Traditional retail bank telemarketing for time deposit subscriptions has a low conversion rate, suffers from data leakage, and fails to account for individual uncertainty in point predictions. To address these issues, this paper constructs a risk-aware analytical system that integrates high-performance ensemble learnin...