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applied-ml-project
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applied-ml-project
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models
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PenaltyCat
268 MB
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2 contributors
History:
3 commits
riyadhrazzaq
add alvaro's code
bd9ee57
over 2 years ago
AdaBoost Undersampling.pkl
Safe
144 MB
xet
supports penalty cat
over 2 years ago
Decision Tree Undersampling.pkl
pickle
Detected Pickle imports (6)
"sklearn.tree._classes.DecisionTreeClassifier"
,
"numpy.core.multiarray.scalar"
,
"numpy.ndarray"
,
"sklearn.tree._tree.Tree"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
How to fix it?
648 kB
xet
supports penalty cat
over 2 years ago
KNN Undersampling.pkl
Safe
27.3 MB
xet
supports penalty cat
over 2 years ago
Logistic Regression Balanced.pkl
1.73 kB
xet
add alvaro's code
over 2 years ago
Logistic Regression Undersampling.pkl
pickle
Detected Pickle imports (4)
"sklearn.linear_model._logistic.LogisticRegression"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.dtype"
,
"numpy.ndarray"
How to fix it?
4.84 kB
xet
supports penalty cat
over 2 years ago
Logistic Regression.pkl
2.02 kB
xet
lr model added without undersampling
over 2 years ago
Random Forest Undersampling.pkl
Safe
96.1 MB
xet
supports penalty cat
over 2 years ago
scaler_model.pkl
pickle
Detected Pickle imports (5)
"numpy.dtype"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy.ndarray"
,
"numpy.core.multiarray.scalar"
,
"numpy.core.multiarray._reconstruct"
How to fix it?
6.42 kB
xet
add alvaro's code
over 2 years ago