| Issue | #Downvotes for this reason | By |
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| TEST260ce2e22esklearn.pipeline.Pipeline(imputer=sklearn.impute._base.Simple Imputer,classifier=sklearn.dummy.DummyClassifier)(1) | Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit and transform methods. The final estimator only needs to implement fit. The transformers in the pipeline can be cached using ``memory`` argument. The purpose of the pipeline is to assemble several steps that can be cross-validated together while setting different parameters. For this, it enables setting parameters of the various steps using their names and the parameter name separated by a '__', as in the example below. A step's estimator may be replaced entirely by setting the parameter with its name to another estimator, or a transformer removed by setting it to 'passthrough' or ``None``. |
| TEST260ce2e22esklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memory | null |
| TEST260ce2e22esklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_steps | [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}] |
| TEST260ce2e22esklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbose | false |
| TEST260ce2e22esklearn.impute._base.SimpleImputer(1)_add_indicator | false |
| TEST260ce2e22esklearn.impute._base.SimpleImputer(1)_copy | true |
| TEST260ce2e22esklearn.impute._base.SimpleImputer(1)_fill_value | null |
| TEST260ce2e22esklearn.impute._base.SimpleImputer(1)_missing_values | NaN |
| TEST260ce2e22esklearn.impute._base.SimpleImputer(1)_strategy | "mean" |
| TEST260ce2e22esklearn.impute._base.SimpleImputer(1)_verbose | 0 |
| TEST260ce2e22esklearn.dummy.DummyClassifier(1)_constant | null |
| TEST260ce2e22esklearn.dummy.DummyClassifier(1)_random_state | 63483 |
| TEST260ce2e22esklearn.dummy.DummyClassifier(1)_strategy | "warn" |
0.5388 Per class Cross-validation details (10% Holdout set)
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0.5659 Per class Cross-validation details (10% Holdout set)
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0.0757 Cross-validation details (10% Holdout set)
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0.0091 Cross-validation details (10% Holdout set)
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0.4387 Cross-validation details (10% Holdout set)
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0.4589 Cross-validation details (10% Holdout set)
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0.5613 Cross-validation details (10% Holdout set)
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253 Per class Cross-validation details (10% Holdout set) |
0.5725 Per class Cross-validation details (10% Holdout set)
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0.5613 Cross-validation details (10% Holdout set)
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0.9463 Cross-validation details (10% Holdout set)
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0.956 Cross-validation details (10% Holdout set)
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0.4813 Cross-validation details (10% Holdout set)
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0.6624 Cross-validation details (10% Holdout set)
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1.3763 Cross-validation details (10% Holdout set)
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0.5388 Cross-validation details (10% Holdout set)
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