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emotional_ad_predictions

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• "sklearn.svm._classes.SVC",
• "sklearn.preprocessing._data.StandardScaler",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.pipeline.Pipeline",
• "sklearn.preprocessing._label.LabelEncoder",
• "sklearn.ensemble._voting.VotingClassifier",
• "sklearn.linear_model._logistic.LogisticRegression",
• "sklearn.impute._base.SimpleImputer",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "xgboost.sklearn.XGBClassifier",
• "numpy.dtype",
• "sklearn.ensemble._stacking.StackingClassifier",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "lightgbm.sklearn.LGBMClassifier"

How to fix it?

• "sklearn.svm._classes.SVC",
• "sklearn.preprocessing._data.StandardScaler",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.pipeline.Pipeline",
• "sklearn.preprocessing._label.LabelEncoder",
• "sklearn.ensemble._voting.VotingClassifier",
• "sklearn.linear_model._logistic.LogisticRegression",
• "sklearn.impute._base.SimpleImputer",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "xgboost.sklearn.XGBClassifier",
• "numpy.dtype",
• "sklearn.ensemble._stacking.StackingClassifier",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "lightgbm.sklearn.LGBMClassifier"

How to fix it?

• "sklearn.svm._classes.SVC",
• "sklearn.preprocessing._data.StandardScaler",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.pipeline.Pipeline",
• "sklearn.preprocessing._label.LabelEncoder",
• "sklearn.ensemble._voting.VotingClassifier",
• "sklearn.linear_model._logistic.LogisticRegression",
• "sklearn.impute._base.SimpleImputer",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "xgboost.sklearn.XGBClassifier",
• "numpy.dtype",
• "sklearn.ensemble._stacking.StackingClassifier",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "lightgbm.sklearn.LGBMClassifier"

How to fix it?

• "sklearn.svm._classes.SVC",
• "sklearn.preprocessing._data.StandardScaler",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.pipeline.Pipeline",
• "sklearn.preprocessing._label.LabelEncoder",
• "sklearn.ensemble._voting.VotingClassifier",
• "sklearn.linear_model._logistic.LogisticRegression",
• "sklearn.impute._base.SimpleImputer",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "xgboost.sklearn.XGBClassifier",
• "numpy.dtype",
• "sklearn.ensemble._stacking.StackingClassifier",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "lightgbm.sklearn.LGBMClassifier"

How to fix it?

• "sklearn.svm._classes.SVC",
• "sklearn.preprocessing._data.StandardScaler",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.pipeline.Pipeline",
• "sklearn.preprocessing._label.LabelEncoder",
• "sklearn.ensemble._voting.VotingClassifier",
• "sklearn.linear_model._logistic.LogisticRegression",
• "sklearn.impute._base.SimpleImputer",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "xgboost.sklearn.XGBClassifier",
• "numpy.dtype",
• "sklearn.ensemble._stacking.StackingClassifier",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "lightgbm.sklearn.LGBMClassifier"

How to fix it?