Saved evidence report
Explore the saved analysis below. Controls filter this report; they do not rerun the analysis or retrieve source data.
Population: MR export slots · 8 evaluated source rows
Search limits restrict what was tested or retained. Untested work is unknown. Display limits below only restrict this report.
paths: 1/1 pairs evaluated
paths: 2/2 features evaluated
| features requested | 2 |
|---|---|
| features evaluated | 2 |
| features omitted | none |
| pairs evaluated | 1 |
| pair candidates | 1 |
| paths evaluated | 1 |
| distinct alternatives | 1 |
| alternative policy | best_order_per_feature_set_collapsing_alias_substitutions |
| search exhausted budget | no |
| requested depth | 2 |
| returned depth | 2 |
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Analysis: rows; presence=per_row
Finding f0 · counting unit: rows
| score | 0.15 | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| prefix counts | 2, 4 | ||||||||||||||||||||||||
| prefix cost | 0.15 | ||||||||||||||||||||||||
| overflow | 0 | ||||||||||||||||||||||||
| nesting inversions | 0 | ||||||||||||||||||||||||
| redundant steps | 0 | ||||||||||||||||||||||||
| alias steps | 0 | ||||||||||||||||||||||||
| target impurity sum | 0 | ||||||||||||||||||||||||
| target impurity by depth | none | ||||||||||||||||||||||||
| availability impurity sum | 0 | ||||||||||||||||||||||||
| availability impurity by depth | 0.0, 0.0 | ||||||||||||||||||||||||
| explanation | Observed prefix groups: site: 2 → exam_id: 4; Supported coarse-to-fine nesting: site → exam_id; Availability nonmodal fractions: 0, 0 | ||||||||||||||||||||||||
| reasons |
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Positions are zero-based offsets in the original ordered source, not dataframe index labels. Saved samples are the first matches in source order; their size is not the total support.
Examples: 3/8 saved source positions [0, 1, 2]
Exceptions: 0/0 saved source positions []
In Python, with this result named result and its identical ordered source named df:
result.inspect(df, 'f0')
Use all_matches=True to retrieve all matching rows and exceptions=True for exception rows. These operations require the original source and a Python session.