version: prml/0.1
claim_id: 01a0ce19-5532-7c91-bed6-1ac1d4c0d689
created_at: '2026-09-23T11:49:15Z'
metric: accuracy
metric_args:
  split: stratified 70/30 train/test at the manifest seed
  features: all 20 attributes; categorical one-hot encoded; numeric standardised
  model_config: scikit-learn LogisticRegression, L2 penalty, C=1.0, max_iter=2000
  definition: share of correct predictions (good/bad credit) on the held-out test split
comparator: '>='
threshold: 0.7
dataset:
  id: uci-statlog-german-credit
  hash: b21f3d81db8071257d5ff1deaeba1fd4303b62712e6fcc9715c7a86202cb5871
  uri: https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data
seed: 42
producer:
  id: acceptance-record-example.falsify
model:
  id: sklearn-logistic-regression-l2-C1.0
notes: 'Illustrative acceptance record (criterion C2 of plan AP-2026-001). Falsify OU plays both supplier and client roles; not a client engagement.'