stats.grouped

io.github.nimbusbci/nimbus-mcp · Verify this server

Cluster-aware group statistics across executions. REQUIREMENT (read first): each execution must have been run with an evaluation plan that STORED per-group (per-subject) accuracies for at least 3 groups — e.g. leave-one-subject-out (LOSO) or grouped CV over >= 3 subjects. A plain single-subject CV run (trials split within one subject, one group) stores no group stats and CANNOT be analysed here. If none of the given executions qualifies, the backend fails with ``nimbus.stats.insufficient_groups`` — that error means exactly this: re-run with a multi-subject / group-wise evaluation plan (>= 3 groups), or pass runs from such a sweep. What it does: pools the per-subject (per-group) accuracies each run's evaluation plan stored, then reports the between-group summary — mean accuracy with a t-interval and a one-sample t-test vs chance. Use this instead of eyeballing pooled accuracy: trials within a subject are not independent, so this is the MOABB-style number that survives review.