| 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"}}] |
0.6659 ± 0.0272 Per class Cross-validation details (10-fold Crossvalidation)
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0.4694 ± 0.0426 Per class Cross-validation details (10-fold Crossvalidation)
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0.2172 ± 0.0555 Cross-validation details (10-fold Crossvalidation)
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0.2227 ± 0.0375 Cross-validation details (10-fold Crossvalidation)
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0.3728 ± 0.0154 Cross-validation details (10-fold Crossvalidation)
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0.4308 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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0.4684 ± 0.0414 Cross-validation details (10-fold Crossvalidation)
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1473 Per class Cross-validation details (10-fold Crossvalidation) |
0.5103 ± 0.0328 Per class Cross-validation details (10-fold Crossvalidation)
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0.4684 ± 0.0414 Cross-validation details (10-fold Crossvalidation)
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1.539 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
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0.8653 ± 0.0359 Cross-validation details (10-fold Crossvalidation)
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0.4641 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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0.4816 ± 0.0168 Cross-validation details (10-fold Crossvalidation)
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1.0376 ± 0.0365 Cross-validation details (10-fold Crossvalidation)
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0.4937 ± 0.0403 Cross-validation details (10-fold Crossvalidation)
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