Blind-spot mass uses Good-Turing unseen-species estimation to measure the total probability of states with low empirical support, showing that 95% of operational mass lies in blind spots at tau=5 across wearable activity recognition and clinical admission data.
Introducing a new benchmarked dataset for activity monitoring
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Blind-Spot Mass: A Good-Turing Framework for Quantifying Deployment Coverage Risk in Machine Learning Systems
Blind-spot mass uses Good-Turing unseen-species estimation to measure the total probability of states with low empirical support, showing that 95% of operational mass lies in blind spots at tau=5 across wearable activity recognition and clinical admission data.