| 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"}}] |
0.8907 ± 0.0372 Per class Cross-validation details (10-fold Crossvalidation)
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0.7129 ± 0.0445 Per class Cross-validation details (10-fold Crossvalidation)
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0.4442 ± 0.0739 Cross-validation details (10-fold Crossvalidation)
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0.3215 ± 0.098 Cross-validation details (10-fold Crossvalidation)
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0.2892 ± 0.041 Cross-validation details (10-fold Crossvalidation)
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0.4472 ± 0.0012 Cross-validation details (10-fold Crossvalidation)
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0.7071 ± 0.0439 Cross-validation details (10-fold Crossvalidation)
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1055 Per class Cross-validation details (10-fold Crossvalidation) |
0.8065 ± 0.0324 Per class Cross-validation details (10-fold Crossvalidation)
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0.7071 ± 0.0439 Cross-validation details (10-fold Crossvalidation)
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0.9223 ± 0.0036 Cross-validation details (10-fold Crossvalidation)
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0.6466 ± 0.0922 Cross-validation details (10-fold Crossvalidation)
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0.4728 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
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0.5335 ± 0.0374 Cross-validation details (10-fold Crossvalidation)
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1.1284 ± 0.0803 Cross-validation details (10-fold Crossvalidation)
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0.7617 ± 0.0393 Cross-validation details (10-fold Crossvalidation)
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