Datasets:

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simonlesaumon

/

AI_DETECTOR_SOTA

like 0

• "models.SOTAStackingDetector",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy.dtype",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "xgboost.core.Booster",
• "numpy.dtype",
• "xgboost.sklearn.XGBClassifier",
• "numpy._core.multiarray.scalar",
• "sklearn.preprocessing._data.StandardScaler",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "builtins.bytearray",
• "models_v2.SOTAHybridDetector",
• "numpy.ndarray"

How to fix it?

• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.float64",
• "numpy.ndarray",
• "numpy.dtype",
• "sklearn.feature_extraction.text.TfidfTransformer"

How to fix it?

• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.float64",
• "numpy.ndarray",
• "numpy.dtype",
• "sklearn.feature_extraction.text.TfidfTransformer"

How to fix it?

• "sklearn.feature_extraction.text.TfidfTransformer",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.float64",
• "numpy.dtype",
• "sklearn.feature_extraction.text.TfidfVectorizer"

How to fix it?

• "sklearn.feature_extraction.text.TfidfTransformer",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.float64",
• "numpy.dtype",
• "sklearn.feature_extraction.text.TfidfVectorizer"

How to fix it?