ClarusC64/ABX-CT-009_resistance_breakthrough_prediction-v0.1

ABX-CT-009 Resistance Breakthrough Prediction

Purpose

Predict which drug in a combination will fail first.

Core pattern

• —stress_index high
• —both exposure indices high
• —one drug shows early resistance drift
• —mic fold rises
• —resistance marker rises
• —later fail flag confirms the order

Files

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

Schema

Each row is one timepoint in a within strain series.

Required columns

• —row_id
• —series_id
• —timepoint_h
• —organism
• —strain_id
• —drug_a
• —drug_b
• —stress_index
• —exposureaindex
• —exposurebindex
• —micafoldvsbaseline
• —micbfoldvsbaseline
• —resistancemarkera
• —resistancemarkerb
• —failaflag
• —failbflag
• —firstfailurelabel
• —breakthroughpredictionlabel
• —earliestbreakthroughprediction

Labels

• —firstfailurelabel
• —A or B or none
• —repeated on all rows in the series

• —breakthroughpredictionlabel
• —A or B or none
• —repeated on all rows in the series

• —earliestbreakthroughprediction
• —1 only on the first row where a prediction becomes valid

Scorer logic in v1

• —series level true label comes from the earliest fail flag
• —prediction point requires
• —stress_index at least 0.80
• —exposureaindex and exposurebindex at least 0.80
• —for A
• —micafoldvsbaseline at least 1.50
• —micbfoldvsbaseline at most 1.20
• —resistancemarkera at least 0.50
• —resistancemarkera exceeds resistancemarkerb by 0.15
• —symmetric for B

Evaluation

Run

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