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HousePriccePrediction / Model

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catboost_all_1.pkl
Detected Pickle imports (3)
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "catboost.core.CatBoostRegressor"
How to fix it?
4.19 MB
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catboost_all_2.pkl
Detected Pickle imports (3)
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "catboost.core.CatBoostRegressor"
How to fix it?
4.2 MB
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catboost_all_3.pkl
Detected Pickle imports (3)
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "catboost.core.CatBoostRegressor"
How to fix it?
4.19 MB
xet

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catboost_all_4.pkl
Detected Pickle imports (3)
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "catboost.core.CatBoostRegressor"
How to fix it?
4.19 MB
xet

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randomforest_sg_1.pkl
Detected Pickle imports (6)
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.ndarray",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.tree._tree.Tree",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
54.7 MB
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randomforest_sg_2.pkl
Detected Pickle imports (6)
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.ndarray",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.tree._tree.Tree",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
60.9 MB
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randomforest_sg_3.pkl
Detected Pickle imports (6)
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.ndarray",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.tree._tree.Tree",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
54.7 MB
xet

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randomforest_sg_4.pkl
Detected Pickle imports (6)
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.ndarray",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.tree._tree.Tree",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
27.4 MB
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scaler1.pkl
Detected Pickle imports (7)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler"
How to fix it?
1.33 kB
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scaler2.pkl
Detected Pickle imports (7)
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler"
How to fix it?
1.38 kB
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xgboost_hn_1.pkl
Detected Pickle imports (3)
- "xgboost.core.Booster",
- "xgboost.sklearn.XGBRegressor",
- "builtins.bytearray"
How to fix it?
345 kB
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xgboost_hn_2.pkl
Detected Pickle imports (6)
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.ndarray",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.tree._tree.Tree",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
41.1 MB
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xgboost_hn_3.pkl
Detected Pickle imports (3)
- "xgboost.core.Booster",
- "xgboost.sklearn.XGBRegressor",
- "builtins.bytearray"
How to fix it?
346 kB
xet

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xgboost_hn_4.pkl
Detected Pickle imports (3)
- "xgboost.core.Booster",
- "xgboost.sklearn.XGBRegressor",
- "builtins.bytearray"
How to fix it?
346 kB
xet

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