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percom-experiments

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Use when designing or auditing IEEE PerCom empirical evaluations, covering real human subjects, leave-one-subject-out / cross-subject evaluation, F1 and event-level metrics on imbalanced activity classes, deployment realism (free-living vs. lab), fair baselines, contamination-aware model ablations, and matching evidence to the shape of each pervasive-computing claim.

When to use

• designing IEEE PerCom empirical evaluations
• auditing IEEE PerCom empirical evaluations
• real human subjects evaluation
• leave-one-subject-out / cross-subject evaluation
• F1 and event-level metrics on imbalanced activity classes
• deployment realism (free-living vs. lab)
• fair baselines
• contamination-aware model ablations

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