| 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"}}] |
0.9804 ± 0.0043 Per class Cross-validation details (10-fold Crossvalidation)
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0.7912 ± 0.0283 Per class Cross-validation details (10-fold Crossvalidation)
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0.7685 ± 0.0304 Cross-validation details (10-fold Crossvalidation)
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0.7876 ± 0.0275 Cross-validation details (10-fold Crossvalidation)
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0.042 ± 0.0053 Cross-validation details (10-fold Crossvalidation)
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0.18 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.7916 ± 0.0274 Cross-validation details (10-fold Crossvalidation)
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5620 Per class Cross-validation details (10-fold Crossvalidation) |
0.8474 ± 0.0139 Per class Cross-validation details (10-fold Crossvalidation)
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0.7916 ± 0.0274 Cross-validation details (10-fold Crossvalidation)
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3.3218 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.2335 ± 0.0294 Cross-validation details (10-fold Crossvalidation)
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0.3 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.1986 ± 0.0132 Cross-validation details (10-fold Crossvalidation)
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0.6621 ± 0.0441 Cross-validation details (10-fold Crossvalidation)
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0.7925 ± 0.0275 Cross-validation details (10-fold Crossvalidation)
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