| Issue | #Downvotes for this reason | By |
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| sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imput er,estimator=sklearn.naive_bayes.GaussianNB)(2) | 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 to None. |
| sklearn.preprocessing.imputation.Imputer(54)_axis | 0 |
| sklearn.preprocessing.imputation.Imputer(54)_copy | true |
| sklearn.preprocessing.imputation.Imputer(54)_missing_values | "NaN" |
| sklearn.preprocessing.imputation.Imputer(54)_strategy | "mean" |
| sklearn.preprocessing.imputation.Imputer(54)_verbose | 0 |
| sklearn.naive_bayes.GaussianNB(21)_priors | null |
| sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.naive_bayes.GaussianNB)(2)_memory | null |
| sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.naive_bayes.GaussianNB)(2)_steps | [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputation", "step_name": "imputation"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] |
0.9569 ± 0.0074 Per class Cross-validation details (10-fold Crossvalidation)
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0.6864 ± 0.014 Per class Cross-validation details (10-fold Crossvalidation)
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0.6652 ± 0.0196 Cross-validation details (10-fold Crossvalidation)
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0.6964 ± 0.0184 Cross-validation details (10-fold Crossvalidation)
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0.0825 ± 0.0046 Cross-validation details (10-fold Crossvalidation)
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0.2449 Cross-validation details (10-fold Crossvalidation)
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0.713 ± 0.0168 Cross-validation details (10-fold Crossvalidation)
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2310 Per class Cross-validation details (10-fold Crossvalidation) |
0.7241 ± 0.0273 Per class Cross-validation details (10-fold Crossvalidation)
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0.713 ± 0.0168 Cross-validation details (10-fold Crossvalidation)
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2.8074 Cross-validation details (10-fold Crossvalidation)
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0.337 ± 0.0189 Cross-validation details (10-fold Crossvalidation)
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0.3499 Cross-validation details (10-fold Crossvalidation)
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0.2748 ± 0.0084 Cross-validation details (10-fold Crossvalidation)
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0.7854 ± 0.0239 Cross-validation details (10-fold Crossvalidation)
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0.713 ± 0.0168 Cross-validation details (10-fold Crossvalidation)
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