| 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"}}] |
0.9856 ± 0.0041 Per class Cross-validation details (10-fold Crossvalidation)
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0.9309 ± 0.0178 Per class Cross-validation details (10-fold Crossvalidation)
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0.9228 ± 0.02 Cross-validation details (10-fold Crossvalidation)
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0.9271 ± 0.0189 Cross-validation details (10-fold Crossvalidation)
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0.014 ± 0.0036 Cross-validation details (10-fold Crossvalidation)
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0.18 Cross-validation details (10-fold Crossvalidation)
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0.9305 ± 0.018 Cross-validation details (10-fold Crossvalidation)
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2000 Per class Cross-validation details (10-fold Crossvalidation) |
0.9326 ± 0.0168 Per class Cross-validation details (10-fold Crossvalidation)
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0.9305 ± 0.018 Cross-validation details (10-fold Crossvalidation)
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3.3219 Cross-validation details (10-fold Crossvalidation)
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0.0777 ± 0.0201 Cross-validation details (10-fold Crossvalidation)
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0.3 Cross-validation details (10-fold Crossvalidation)
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0.1174 ± 0.0147 Cross-validation details (10-fold Crossvalidation)
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0.3914 ± 0.0491 Cross-validation details (10-fold Crossvalidation)
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0.9305 ± 0.018 Cross-validation details (10-fold Crossvalidation)
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