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HW3_Tabular

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• "sklearn.metrics._classification.accuracy_score",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ELU",
• "sklearn.preprocessing._data.StandardScaler",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "numpy._core.multiarray._reconstruct",
• "sklearn.impute._base.SimpleImputer",
• "torch._utils._rebuild_tensor_v2",
• "builtins.slice",
• "sklearn.preprocessing._data.QuantileTransformer",
• "autogluon.core.metrics._ClassScorer",
• "builtins.list",
• "sklearn.pipeline.Pipeline",
• "numpy.ndarray",
• "numpy.dtype",
• "torch._utils._rebuild_parameter",
• "autogluon.tabular.models.tabular_nn.compilers.native.AbstractNativeCompiler",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "torch.storage._load_from_bytes",
• "collections.defaultdict",
• "autogluon.tabular.models.tabular_nn.torch.tabular_nn_torch.TabularNeuralNetTorchModel",
• "torch.device",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.Softmax",
• "torch.nn.modules.linear.Linear",
• "autogluon.tabular.models.tabular_nn.torch.torch_network_modules.EmbedNet",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.nn.modules.dropout.Dropout",
• "sklearn.metrics._classification.accuracy_score",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ELU",
• "sklearn.preprocessing._data.StandardScaler",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "numpy._core.multiarray._reconstruct",
• "sklearn.impute._base.SimpleImputer",
• "torch._utils._rebuild_tensor_v2",
• "builtins.slice",
• "sklearn.preprocessing._data.QuantileTransformer",
• "autogluon.core.metrics._ClassScorer",
• "builtins.list",
• "sklearn.pipeline.Pipeline",
• "numpy.ndarray",
• "numpy.dtype",
• "torch._utils._rebuild_parameter",
• "autogluon.tabular.models.tabular_nn.compilers.native.AbstractNativeCompiler",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "torch.storage._load_from_bytes",
• "collections.defaultdict",
• "autogluon.tabular.models.tabular_nn.torch.tabular_nn_torch.TabularNeuralNetTorchModel",
• "torch.device",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.Softmax",
• "torch.nn.modules.linear.Linear",
• "autogluon.tabular.models.tabular_nn.torch.torch_network_modules.EmbedNet",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.nn.modules.dropout.Dropout",
• "sklearn.metrics._classification.accuracy_score",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ELU",
• "sklearn.preprocessing._data.StandardScaler",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "numpy._core.multiarray._reconstruct",
• "sklearn.impute._base.SimpleImputer",
• "torch._utils._rebuild_tensor_v2",
• "builtins.slice",
• "sklearn.preprocessing._data.QuantileTransformer",
• "autogluon.core.metrics._ClassScorer",
• "builtins.list",
• "sklearn.pipeline.Pipeline",
• "numpy.ndarray",
• "numpy.dtype",
• "torch._utils._rebuild_parameter",
• "autogluon.tabular.models.tabular_nn.compilers.native.AbstractNativeCompiler",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "torch.storage._load_from_bytes",
• "collections.defaultdict",
• "autogluon.tabular.models.tabular_nn.torch.tabular_nn_torch.TabularNeuralNetTorchModel",
• "torch.device",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.Softmax",
• "torch.nn.modules.linear.Linear",
• "autogluon.tabular.models.tabular_nn.torch.torch_network_modules.EmbedNet",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.nn.modules.dropout.Dropout",
• "sklearn.metrics._classification.accuracy_score",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ELU",
• "sklearn.preprocessing._data.StandardScaler",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "numpy._core.multiarray._reconstruct",
• "sklearn.impute._base.SimpleImputer",
• "torch._utils._rebuild_tensor_v2",
• "builtins.slice",
• "sklearn.preprocessing._data.QuantileTransformer",
• "autogluon.core.metrics._ClassScorer",
• "builtins.list",
• "sklearn.pipeline.Pipeline",
• "numpy.ndarray",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.tabular.models.catboost.catboost_model.CatBoostModel",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.tabular.models.rf.rf_model.RFModel",
• "autogluon.core.metrics._ClassScorer",
• "collections.defaultdict",
• "sklearn.metrics._classification.accuracy_score",
• "builtins.list",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "autogluon.core.models.ensemble.stacker_ensemble_model.StackerEnsembleModel",
• "autogluon.tabular.models.rf.rf_model.RFModel",
• "sklearn.metrics._classification.accuracy_score",
• "autogluon.core.metrics._ClassScorer",
• "numpy._core.multiarray._reconstruct",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy._core.multiarray.scalar",
• "autogluon.tabular.models.rf.rf_model.RFModel",
• "autogluon.tabular.models.rf.compilers.native.AbstractNativeCompiler",
• "autogluon.core.metrics._ClassScorer",
• "autogluon.features.generators.label_encoder.LabelEncoderFeatureGenerator",
• "collections.defaultdict",
• "sklearn.metrics._classification.accuracy_score",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "builtins.list",
• "sklearn.tree._tree.Tree",
• "autogluon.common.features.feature_metadata.FeatureMetadata",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray"

How to fix it?