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fraud_detection

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History: 46 commits

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Upload rf_random_model.pkl

e6952b3 verified 10 months ago

.gitattributes

1.52 kB

initial commit 10 months ago
README.md

239 Bytes

initial commit 10 months ago
app.py

4.27 kB

Update app.py 10 months ago
random_forest_model.pkl
Detected Pickle imports (7)
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "sklearn.tree._tree.Tree",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray"
How to fix it?
2.13 MB
LFS

Upload random_forest_model.pkl 10 months ago
requirements.txt

68 Bytes

Update requirements.txt 10 months ago
rf_random_model.pkl
Detected Pickle imports (13)
- "numpy.ma.core.MaskedArray",
- "numpy.ndarray",
- "sklearn.model_selection._search.RandomizedSearchCV",
- "sklearn.metrics._classification.f1_score",
- "numpy.core.multiarray._reconstruct",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "sklearn.model_selection._split.KFold",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.core.multiarray.scalar",
- "sklearn.metrics._scorer._PredictScorer",
- "numpy.ma.core._mareconstruct",
- "numpy.dtype",
- "sklearn.tree._tree.Tree"
How to fix it?
20.5 MB
LFS

Upload rf_random_model.pkl 10 months ago
scalers.pkl
Detected Pickle imports (5)
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "numpy.ndarray"
How to fix it?
509 Bytes
LFS

Upload scalers.pkl 10 months ago
standard_scaler.pkl
Detected Pickle imports (5)
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray"
How to fix it?
473 Bytes
LFS

Upload standard_scaler.pkl 10 months ago