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1.06 MB
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4.48 MB
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dtc.model.pkl
Detected Pickle imports (6)
- "numpy.dtype",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.core.multiarray._reconstruct",
- "sklearn.tree._tree.Tree",
- "numpy.core.multiarray.scalar",
- "numpy.ndarray"
How to fix it?
596 kB
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918 kB
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918 kB
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lr.model.pkl
Detected Pickle imports (4)
- "numpy.dtype",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray"
How to fix it?
5.58 MB
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nb.model.pkl
Detected Pickle imports (4)
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct",
- "sklearn.naive_bayes.MultinomialNB",
- "numpy.ndarray"
How to fix it?
11.2 MB
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rf.model.pkl
Detected Pickle imports (7)
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar",
- "sklearn.tree._tree.Tree",
- "numpy.ndarray",
- "numpy.dtype",
- "sklearn.ensemble._forest.RandomForestClassifier"
How to fix it?
124 MB
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svm.model.pkl
Detected Pickle imports (6)
- "numpy.dtype",
- "scipy.sparse._csr.csr_matrix",
- "numpy.core.multiarray._reconstruct",
- "sklearn.svm._classes.SVC",
- "numpy.core.multiarray.scalar",
- "numpy.ndarray"
How to fix it?
2.81 MB
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vectorizer.states.pkl
Detected Pickle imports (7)
- "numpy.dtype",
- "numpy.ndarray",
- "scipy.sparse._csr.csr_matrix",
- "numpy.core.multiarray._reconstruct",
- "sklearn.feature_extraction.text.TfidfTransformer",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "numpy.float64"
How to fix it?
1.93 MB
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xgb.model.pkl
Detected Pickle imports (3)
- "builtins.bytearray",
- "xgboost.core.Booster",
- "xgboost.sklearn.XGBClassifier"
How to fix it?
1.5 MB
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