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Predicting_level_of_mental_well-being_based_on_lifestyle

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• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "sklearn.pipeline.Pipeline",
• "numpy._core.multiarray._reconstruct",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy.ndarray"

How to fix it?

• "sklearn.dummy.DummyRegressor",
• "sklearn._loss.link.IdentityLink",
• "_loss.CyHalfSquaredError",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "sklearn.tree._tree.Tree",
• "numpy.dtype",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "sklearn._loss.loss.HalfSquaredError",
• "numpy.random._pickle.__bit_generator_ctor",
• "sklearn.ensemble._gb.GradientBoostingRegressor",
• "numpy.random._mt19937.MT19937",
• "numpy.random._pickle.__randomstate_ctor",
• "sklearn._loss.link.Interval"

How to fix it?