nadiCR7

/

danish-residential-housing-prices

Like 0

• "numpy.dtype",
• "sklearn.preprocessing._encoders.OneHotEncoder",
• "sklearn.tree._tree.Tree",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "numpy._core.multiarray._reconstruct",
• "_loss.CyHalfSquaredError",
• "numpy.random._pickle.__bit_generator_ctor",
• "numpy.random._mt19937.MT19937",
• "sklearn.dummy.DummyRegressor",
• "numpy.float64",
• "sklearn.impute._base.SimpleImputer",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "sklearn.pipeline.Pipeline",
• "sklearn._loss.link.IdentityLink",
• "builtins.slice",
• "sklearn.ensemble._gb.GradientBoostingRegressor",
• "numpy.ndarray",
• "sklearn._loss.loss.HalfSquaredError",
• "sklearn.compose._column_transformer._RemainderColsList",
• "numpy.random._pickle.__randomstate_ctor",
• "sklearn._loss.link.Interval"

How to fix it?

• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.pipeline.Pipeline",
• "numpy._core.multiarray._reconstruct",
• "numpy._core.multiarray.scalar",
• "sklearn.tree._tree.Tree",
• "numpy.ndarray",
• "sklearn.compose._column_transformer._RemainderColsList",
• "sklearn.impute._base.SimpleImputer",
• "builtins.slice",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "numpy.dtype",
• "sklearn.preprocessing._encoders.OneHotEncoder",
• "numpy.float64"

How to fix it?