forest-cover-classifier / model_config.json
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Add reproducible Forest Cover classifier package
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{
"model_file": "model.joblib",
"serialization": "joblib",
"framework": "scikit-learn",
"model": "DecisionTreeClassifier",
"model_role": "Project-selected final estimator",
"random_state": 42,
"preprocessing": "None; raw UCI Covertype values are used in the original 54-feature order.",
"feature_schema_file": "feature_schema.json",
"labels": {"1": "Spruce/Fir", "2": "Lodgepole Pine", "3": "Ponderosa Pine", "4": "Cottonwood/Willow", "5": "Aspen", "6": "Douglas-fir", "7": "Krummholz"}
}