Umranz

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mediscan-symptom-classifier

like 1

• "numpy.ndarray",
• "sklearn.preprocessing._label.LabelEncoder",
• "numpy.dtype",
• "numpy._core.multiarray._reconstruct"

How to fix it?

• "numpy.ndarray",
• "numpy.dtype",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy._core.multiarray._reconstruct"

How to fix it?

• "numpy._core.multiarray._reconstruct",
• "sklearn.naive_bayes.MultinomialNB",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?

• "numpy.dtype",
• "numpy._core.multiarray.scalar",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.tree._tree.Tree",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray"

How to fix it?

• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "numpy.ndarray",
• "scipy.sparse._csr.csr_matrix",
• "numpy._core.multiarray._reconstruct",
• "sklearn.svm._classes.SVC"

How to fix it?

• "sklearn.feature_extraction.text.TfidfTransformer",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy._core.multiarray._reconstruct",
• "numpy._core.multiarray.scalar",
• "numpy.float64"

How to fix it?

• "numpy.ndarray",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.dtype",
• "sklearn.preprocessing._label.LabelEncoder",
• "sklearn.svm._classes.SVC",
• "sklearn.ensemble._voting.VotingClassifier",
• "numpy._core.multiarray.scalar",
• "numpy._core.multiarray._reconstruct",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.linear_model._logistic.LogisticRegression",
• "sklearn.naive_bayes.MultinomialNB",
• "sklearn.tree._tree.Tree",
• "sklearn.utils._bunch.Bunch",
• "scipy.sparse._csr.csr_matrix"

How to fix it?