{
  "schema_version": 1,
  "task_type": "regression",
  "analysis": "prediction",
  "target": "outcome",
  "target_unit": "synthetic_outcome_unit",
  "target_definition": {
    "sample_unit": "independent synthetic row",
    "averaging_period": "not applicable",
    "prediction_time": "all declared features available before prediction"
  },
  "features": ["x1", "x2", "treatment"],
  "id_column": "id",
  "split": {"column": "dataset", "train": "train", "val": "val", "test": "test"},
  "categorical_features": [],
  "missing": {"policy": "drop", "sentinels": [-999]},
  "feature_selection": {"mode": "manual"},
  "models": [
    {"id": "tree", "learner": "regr.rpart", "parameters": {"cp": 0.005, "maxdepth": 5}},
    {"id": "forest", "learner": "regr.ranger", "parameters": {"num.trees": 48, "min.node.size": 5}}
  ],
  "selection_metric": "rmse",
  "seed": 20261028,
  "row_limits": {"train": 400, "val": 100, "test": 100},
  "explanation": {
    "methods": ["permutation", "pdp", "ice"],
    "features": ["x1", "treatment"],
    "background_rows": 16,
    "validation_rows": 16,
    "permutation_repeats": 2,
    "pdp_points": 4
  }
}