piyushptiwari
/

InsureFraudNet

Tabular Classification

fraud-detection

isolation-forest

Eval Results (legacy)

Model card Files Files and versions

9.84 MB

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1 contributor

History: 2 commits

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.gitattributes

1.52 kB
initial commit 5 days ago
README.md

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iforest_liability.pkl
Detected Pickle imports (7)
- "sklearn.tree._tree.Tree",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy.dtype",
- "sklearn.tree._classes.ExtraTreeRegressor",
- "sklearn.ensemble._iforest.IsolationForest",
- "numpy._core.multiarray.scalar"
How to fix it?
3.23 MB
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iforest_motor.pkl
Detected Pickle imports (7)
- "sklearn.ensemble._iforest.IsolationForest",
- "sklearn.tree._classes.ExtraTreeRegressor",
- "sklearn.tree._tree.Tree",
- "numpy._core.multiarray.scalar",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct"
How to fix it?
3.24 MB
xet

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iforest_property.pkl
Detected Pickle imports (7)
- "numpy._core.multiarray._reconstruct",
- "numpy.ndarray",
- "sklearn.tree._classes.ExtraTreeRegressor",
- "sklearn.tree._tree.Tree",
- "numpy._core.multiarray.scalar",
- "numpy.dtype",
- "sklearn.ensemble._iforest.IsolationForest"
How to fix it?
3.3 MB
xet

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training_results.json

3.3 kB
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xgb_liability.json

17.4 kB
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xgb_motor.json

18.4 kB
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xgb_property.json

18.3 kB
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