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{
    "sklearn": {
        "columns": [
            "texture_mean",
            "perimeter_mean",
            "area_mean",
            "smoothness_mean",
            "compactness_mean",
            "concavity_mean",
            "concave_points_mean",
            "symmetry_mean",
            "fractal_dimension_mean",
            "radius_se",
            "texture_se",
            "perimeter_se",
            "area_se",
            "smoothness_se",
            "compactness_se",
            "concavity_se",
            "concave_points_se",
            "symmetry_se",
            "fractal_dimension_se",
            "radius_worst",
            "texture_worst",
            "perimeter_worst",
            "area_worst",
            "smoothness_worst",
            "compactness_worst",
            "concavity_worst",
            "concave_points_worst",
            "symmetry_worst",
            "fractal_dimension_worst"
        ],
        "environment": [
            "scikit-learn=1.7.2"
        ],
        "example_input": {
            "texture_mean": [
                0.6982019329160188
            ],
            "perimeter_mean": [
                -0.05515505353932299
            ],
            "area_mean": [
                -0.18767978227853688
            ],
            "smoothness_mean": [
                1.6823310363661423
            ],
            "compactness_mean": [
                0.42373642790472826
            ]
        },
        "model": {
            "file": "model.pkl"
        },
        "task": "tabular-classification",
        "target": "diagnosis"
    },
    "metadata": {
        "model_name": "Gaussian Naive Bayes Breast Cancer Classifier",
        "dataset": "Wisconsin Diagnostic Breast Cancer (WDBC)",
        "created": "2025-11-06",
        "author": "Jad Alsassa",
        "license": "CC-BY-NC 4.0",
        "description": "A Gaussian Naive Bayes classifier trained to distinguish malignant from benign breast tumors using the WDBC dataset. Intended for educational purposes only."
    }
}