forecasting/bootstrap/draws.meta.json

{
  "n_boot": 1000,
  "seed": 42,
  "ci_level": 0.95,
  "splits": [
    "test"
  ],
  "baseline": "seasonal_naive",
  "methods": [
    "autoARIMA",
    "autoETS",
    "chronos2_finetuned",
    "chronos2_zeroshot",
    "dlinear",
    "mixlinear",
    "seasonal_naive",
    "segrnn",
    "toto_finetuned_ctx4096",
    "toto_zeroshot_ctx4096"
  ],
  "continuous_metrics": [
    "mae"
  ],
  "binary_metrics": [
    "auroc"
  ],
  "age_bins": [
    18,
    30,
    40,
    50,
    60
  ],
  "reductions": [
    "skill",
    "rank",
    "fairness"
  ],
  "within_user_aggregation": "micro",
  "aggregation_unit": "user",
  "format": "long: (reduction, model, scope, metric, draw, value); metric is '' for skill/fairness",
  "n_rows": 738580,
  "elapsed_seconds": 1162.6,
  "git_commit": "ed55a3f29ec511efbebd8a87c96ebec7cdf7ff3f",
  "timestamp": "2026-06-24T21:23:05.446320+00:00",
  "argv": [
    "scripts/paper_results/forecasting/produce_forecasting_bootstrap_draws.py",
    "--summary-dir",
    "results/forecasting_eval/simurgh/summary/forecasting_full_20260622"
  ]
}