Labeling Challenges

Delayed and incomplete labels can significantly hinder performance estimates, especially when feedback arrives unevenly from different clients. Additionally, class imbalance poses a challenge, as fluctuations in class representation can skew moving averages and impact accuracy. Understanding these complexities is crucial for improving predictive models.