ClarusC64/ABX-PD-003_post_antibiotic_effect_loss-v0.1

ABX-PD-003: Post-Antibiotic Effect Loss

This dataset tests early resistance signals that appear before MIC changes.

The signal is loss of the post-antibiotic effect.

PAE is the duration of growth suppression after drug removal.

Files

• —data/train.csv
• —data/test.csv
• —scorer.py

Schema

Each row is one timepoint in a longitudinal series.

Required columns

• —row_id
• —series_id
• —timepoint_h
• —organism
• —strain_id
• —antibiotic_name
• —antibiotic_class
• —exposure_index
• —micmgL
• —pae_hours
• —media
• —assay_method
• —source_type
• —paelosssignal
• —earliestpaeloss

Labels

• —paelosssignal
• —1 for rows at or after meaningful PAE loss

• —earliestpaeloss
• —1 only for the first detected row in that series

Evaluation

Run

• —python scorer.py --path data/test.csv

The scorer reports

• —series level F1 for paelosssignal
• —earliest loss hits and misses
• —measurement spike flags

Notes

The scorer avoids a common mistake.

It does not call resistance when exposure collapses.

It also flags spike and snap PAE values as likely measurement artifacts.