{
  "folds": [
    {
      "test_fold": 1,
      "parcels": 38283,
      "used_for_fold1_training": 0,
      "used_for_fold1_validation": 0,
      "held_out_from_fold1_training_and_validation": 38283
    },
    {
      "test_fold": 2,
      "parcels": 38283,
      "used_for_fold1_training": 38283,
      "used_for_fold1_validation": 0,
      "held_out_from_fold1_training_and_validation": 0
    },
    {
      "test_fold": 3,
      "parcels": 38282,
      "used_for_fold1_training": 38282,
      "used_for_fold1_validation": 0,
      "held_out_from_fold1_training_and_validation": 0
    },
    {
      "test_fold": 4,
      "parcels": 38282,
      "used_for_fold1_training": 38281,
      "used_for_fold1_validation": 1,
      "held_out_from_fold1_training_and_validation": 0
    },
    {
      "test_fold": 5,
      "parcels": 38282,
      "used_for_fold1_training": 0,
      "used_for_fold1_validation": 38282,
      "held_out_from_fold1_training_and_validation": 0
    }
  ],
  "conclusion": "Only test fold1 is held out for the saved fold1 dropout and ensemble models. Baseline models exist for all5 folds; corresponding capacity/group/dropout models do not."
}