{{issue.domain}}
For records in your dataset where {{ issue.domain }}, we found a significantly higher number of overconfident wrong predictions ({{ issue.info.fail_idx|length }} samples, corresponding to {{ (issue.info.metric_value_slice * 100)|round(1) }}% of the wrong predictions in the data slice).