| 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"}}] |
0.9874 ± 0.0155 Per class Cross-validation details (10-fold Crossvalidation)
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0.9602 ± 0.0235 Per class Cross-validation details (10-fold Crossvalidation)
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0.9127 ± 0.0502 Cross-validation details (10-fold Crossvalidation)
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0.9075 ± 0.0561 Cross-validation details (10-fold Crossvalidation)
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0.0401 ± 0.0243 Cross-validation details (10-fold Crossvalidation)
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0.4519 ± 0.0014 Cross-validation details (10-fold Crossvalidation)
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0.9599 ± 0.0241 Cross-validation details (10-fold Crossvalidation)
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699 Per class Cross-validation details (10-fold Crossvalidation) |
0.9616 ± 0.0201 Per class Cross-validation details (10-fold Crossvalidation)
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0.9599 ± 0.0241 Cross-validation details (10-fold Crossvalidation)
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0.9293 ± 0.0043 Cross-validation details (10-fold Crossvalidation)
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0.0887 ± 0.0538 Cross-validation details (10-fold Crossvalidation)
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0.4753 ± 0.0015 Cross-validation details (10-fold Crossvalidation)
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0.1988 ± 0.0555 Cross-validation details (10-fold Crossvalidation)
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0.4183 ± 0.1171 Cross-validation details (10-fold Crossvalidation)
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0.9635 ± 0.0191 Cross-validation details (10-fold Crossvalidation)
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