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linear_model.pkl Detected Pickle imports (4)
- "numpy.dtype",
- "sklearn.linear_model._base.LinearRegression",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray"
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696 Bytes Upload 4 files logistic_regression.pkl Detected Pickle imports (4)
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype"
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model.pkl Detected Pickle imports (4)
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype"
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959 Bytes Upload 7 files - 447 kB Upload placementdata.csv
random_forest.pkl Detected Pickle imports (5)
- "sklearn.ensemble._forest.RandomForestClassifier",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype"
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14.5 MB Upload 7 files rf_model.pkl Detected Pickle imports (5)
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "sklearn.ensemble._forest.RandomForestClassifier"
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48.3 MB Upload rf_model.pkl scaler.pkl Detected Pickle imports (7)
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.core.multiarray.scalar",
- "numpy.core.multiarray._reconstruct",
- "_codecs.encode",
- "numpy.dtype",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper"
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1.45 kB Upload 7 files xgb_model.pkl Detected Pickle imports (3)
- "xgboost.sklearn.XGBClassifier",
- "xgboost.core.Booster",
- "builtins.bytearray"
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732 kB Upload 4 files xgboost.pkl Detected Pickle imports (3)
- "xgboost.sklearn.XGBClassifier",
- "xgboost.core.Booster",
- "builtins.bytearray"
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345 kB Upload 7 files
