{{issue.domain}} {{ issue.metric }} = {{ issue.info.metric_value_slice|format_metric }} (Global = {{ issue.info.metric_value_reference|format_metric }}) {{ issue.deviation }} {{ issue.description }} Show details

Description

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).

Examples

{{ issue.examples(3).to_html(justify="left", notebook=True) | replace("\\n", "
") | safe }}