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random_forest_model.pkl
Detected Pickle imports (7)
- "numpy._core.multiarray._reconstruct",
- "numpy._core.multiarray.scalar",
- "sklearn.tree._tree.Tree",
- "numpy.ndarray",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.dtype",
- "sklearn.tree._classes.DecisionTreeClassifier"
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274 MB
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winning_model (1).pkl
Detected Pickle imports (13)
- "numpy._core.multiarray._reconstruct",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "builtins.slice",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "sklearn.pipeline.Pipeline",
- "numpy.dtype",
- "sklearn.compose._column_transformer._RemainderColsList",
- "numpy.ndarray",
- "sklearn.tree._tree.Tree",
- "sklearn.preprocessing._function_transformer.FunctionTransformer",
- "numpy.float64"
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12.7 MB
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