{
    "run_id": "53ff75a9-4de7-439d-bd01-5dc537f54173",
    "start_time": "2025-09-15T09:08:41.118506+00:00",
    "end_time": "2025-09-15T09:08:41.408719+00:00",
    "duration_seconds": 0.290213,
    "environment": {
        "python_version": "3.9.6",
        "platform": "macOS-26.0-arm64-arm-64bit",
        "architecture": "arm64",
        "cpu": "arm",
        "package_versions": {
            "cachetools": "6.1.0",
            "certifi": "2025.8.3",
            "charset-normalizer": "3.4.3",
            "frozendict": "2.4.6",
            "idna": "3.10",
            "joblib": "1.5.1",
            "lxml": "6.0.0",
            "numpy": "2.0.2",
            "pandas": "2.3.1",
            "PyLD": "2.0.4",
            "python-dateutil": "2.9.0.post0",
            "pytz": "2025.2",
            "requests": "2.32.5",
            "scikit-learn": "1.6.1",
            "scipy": "1.13.1",
            "six": "1.17.0",
            "# Editable install with no version control (skfair": "0.1.0)",
            "threadpoolctl": "3.6.0",
            "tzdata": "2025.2",
            "urllib3": "2.5.0"
        }
    },
    "model_params": {
        "model_name": "RandomForestClassifier",
        "algorithm_type": "sklearn.ensemble._forest.RandomForestClassifier",
        "hyperparameters": {
            "bootstrap": true,
            "ccp_alpha": 0.0,
            "class_weight": null,
            "criterion": "gini",
            "max_depth": null,
            "max_features": "sqrt",
            "max_leaf_nodes": null,
            "max_samples": null,
            "min_impurity_decrease": 0.0,
            "min_samples_leaf": 1,
            "min_samples_split": 2,
            "min_weight_fraction_leaf": 0.0,
            "monotonic_cst": null,
            "n_estimators": 100,
            "n_jobs": null,
            "oob_score": false,
            "random_state": 42,
            "verbose": 0,
            "warm_start": false
        },
        "framework_name": "scikit-learn",
        "framework_version": "1.6.1"
    },
    "data": {
        "X_shape": [
            150,
            4
        ],
        "X_hash_sha256": "ad1c8bb67bb523ab715a8c334561b35e9d72805d75dfa258c6ef7d1f38376aae",
        "X_type": "<class 'pandas.core.frame.DataFrame'>",
        "feature_names": [
            "sepal length (cm)",
            "sepal width (cm)",
            "petal length (cm)",
            "petal width (cm)"
        ],
        "y_shape": [
            150
        ],
        "y_hash_sha256": null,
        "y_type": "<class 'pandas.core.series.Series'>",
        "name": "Iris",
        "description": "Fisher's Iris dataset (150 samples, 4 features).",
        "license": "https://creativecommons.org/publicdomain/zero/1.0/",
        "identifier": "https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html"
    },
    "model_file": {
        "filename": "model.joblib",
        "size_bytes": 187073,
        "sha256": "2b24ba6d3d20ec1c79b5029f40799ea0399d5374506dc46776b511c5be0bd991"
    }
}