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vavelychko

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A.joblib
Detected Pickle imports (7)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.dtype",
- "numpy._core.multiarray._reconstruct",
- "numpy.ndarray",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "_codecs.encode"
How to fix it?
194 MB
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A_feature_names.json

71 Bytes

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A_scaler.joblib
Detected Pickle imports (6)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "sklearn.preprocessing._data.MaxAbsScaler",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype"
How to fix it?
1.24 kB
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B_1.joblib

12.5 MB
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B_1_feature_names.json

191 Bytes

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Model_A.joblib
Detected Pickle imports (7)
- "_codecs.encode",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray._reconstruct",
- "numpy.ndarray",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.dtype"
How to fix it?
341 MB
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Model_A_feature_names.json

133 Bytes

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model_1_A.joblib
Detected Pickle imports (7)
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.core.multiarray._reconstruct",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.ndarray",
- "numpy.dtype",
- "_codecs.encode",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
11.2 MB
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model_1_A_feature_names.json

464 Bytes

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model_2_1.joblib
Detected Pickle imports (6)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "sklearn.ensemble._gb.GradientBoostingRegressor",
- "numpy.dtype"
How to fix it?
1.16 MB
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model_2_1_feature_names.json

1.38 kB

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model_2_A.joblib
Detected Pickle imports (7)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "_codecs.encode",
- "numpy.core.multiarray._reconstruct",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
3.4 MB
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model_2_A_feature_names.json

464 Bytes

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model_A.joblib
Detected Pickle imports (7)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.ndarray",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "_codecs.encode",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct"
How to fix it?
119 MB
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model_A_feature_names.json

162 Bytes

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model_B_1.joblib
Detected Pickle imports (7)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "_codecs.encode",
- "numpy.core.multiarray._reconstruct",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
9.67 MB
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model_B_1_feature_names.json

483 Bytes

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model_B_2.joblib
Detected Pickle imports (7)
- "_codecs.encode",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "numpy.dtype",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
43.7 MB
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model_B_2_feature_names.json

464 Bytes

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model_B_3.joblib
Detected Pickle imports (6)
- "_codecs.encode",
- "numpy.dtype",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.core.multiarray._reconstruct",
- "sklearn.ensemble._gb.GradientBoostingClassifier"
How to fix it?
43.5 MB
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model_B_3_feature_names.json

382 Bytes

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model_c_5.joblib

158 MB
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model_c_5_feature_names.json

382 Bytes

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model_d_5.joblib

401 MB
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model_d_5_feature_names.json

545 Bytes

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model_d_5_scaler.joblib
Detected Pickle imports (6)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "sklearn.preprocessing._data.MaxAbsScaler",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype"
How to fix it?
1.54 kB
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model_e_5.joblib

390 MB
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model_e_5_feature_names.json

297 Bytes

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model_e_5_scaler.joblib
Detected Pickle imports (6)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "sklearn.preprocessing._data.MaxAbsScaler",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype"
How to fix it?
1.39 kB
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model_с_5.joblib
Detected Pickle imports (7)
- "_codecs.encode",
- "numpy.core.multiarray._reconstruct",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestRegressor"
How to fix it?
140 MB
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model_с_5_feature_names.json

545 Bytes

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model_с_5_scaler.joblib
Detected Pickle imports (6)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "_codecs.encode",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.MaxAbsScaler",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
1.54 kB
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optimized_random_forest_model.joblib
Detected Pickle imports (7)
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.ndarray",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "_codecs.encode"
How to fix it?
413 MB
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optimized_random_forest_model_feature_names.json

269 Bytes

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Detected Pickle imports (7)

Detected Pickle imports (6)

Detected Pickle imports (7)

Detected Pickle imports (7)

Detected Pickle imports (6)

Detected Pickle imports (7)

Detected Pickle imports (7)

Detected Pickle imports (7)

Detected Pickle imports (7)

Detected Pickle imports (6)

Detected Pickle imports (6)

Detected Pickle imports (6)

Detected Pickle imports (7)

Detected Pickle imports (6)

Detected Pickle imports (7)