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{
  "id": "6b1e4c2a-9d3f-4a7b-8c5e-1f2a3b4c5d6e",
  "name": "Coating adhesion classifier",
  "task_type": "tabular",
  "description": "Predicts whether a cured coating passes the pull-off adhesion test from its cure schedule and substrate preparation.",
  "target_column": "adhesion_pass",
  "feature_columns": [
    "cure_temperature_c",
    "cure_time_min",
    "substrate_roughness_um",
    "primer_thickness_um"
  ],
  "image_columns": null,
  "problem_type": "binary",
  "currently_active": true,
  "status": "ready",
  "version_number": 3,
  "dataset_id": "2c7d9e1f-3a4b-4c5d-8e6f-7a8b9c0d1e2f",
  "quality_preset": "good_quality",
  "error_message": null,
  "training_started_at": "2026-08-14T09:12:04Z",
  "training_completed_at": "2026-08-14T09:41:37Z",
  "evaluation_metrics": {
    "accuracy": 0.94,
    "f1": 0.93,
    "precision": 0.92,
    "recall": 0.95,
    "roc_auc": 0.97
  }
}

Get one ML model’s training status and results.

Requires an API key with the read scope.

Authentication

AuthorizationBearer

Bearer authentication of the form Bearer <token>, where token is your auth token.

Path parameters

ml_model_idstringRequired

Response

idstringformat: "uuid"

namestring

task_typestring

descriptionstring or nullOptional

target_columnstring or nullOptional

feature_columnslist of strings or nullOptional

image_columnslist of strings or nullOptional

problem_typestring or nullOptional

currently_activebooleanOptionalDefaults to false

statusstring or nullOptional

version_numberinteger or nullOptional

dataset_idstring or nullOptionalformat: "uuid"

quality_presetstring or nullOptional

error_messagestring or nullOptional

training_started_atdatetime or nullOptional

training_completed_atdatetime or nullOptional

evaluation_metricsmap from strings to any or nullOptional

Errors

400

Bad Request Error

401

Unauthorized Error

403

Forbidden Error

404

Not Found Error

422

Unprocessable Entity Error

500

Internal Server Error