linkage_version: prml-linkage/0
manifest_hash: 5ce3c9c3484d8db1ffbc67dc4f3958c9a88009a0ae92ce51e045ea6b70258bc3
receipt: https://registry.falsify.dev/5ce3c9c3484d8db1ffbc67dc4f3958c9a88009a0ae92ce51e045ea6b70258bc3
result:
  digest: 70e2fd7f287dde840e5a5dadefe56fe9a67da8056ed10366dd47c2cfec8273ff
  exit_code: 0
  finished_at: '2026-09-23T11:51:37.257647Z'
  observed: 0.857919
run:
  dataset_hash: b21f3d81db8071257d5ff1deaeba1fd4303b62712e6fcc9715c7a86202cb5871
  environment: 'illustrative: darwin/python3.9/sklearn1.6.1/cpu'
  id: acc-demo-01-C1
  model_version: sklearn-logistic-regression-l2-C1.0
  started_at: '2026-09-23T11:51:18.178825Z'
start_hash: 14bc38f2bd355d86457cbedba9b37a25f2da7eb57350a7e26a591ba55d09fd92