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"}}] |
0.8246 ± 0.0382 Per class Cross-validation details (10-fold Crossvalidation)
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0.7706 ± 0.0233 Per class Cross-validation details (10-fold Crossvalidation)
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0.1613 ± 0.0384 Cross-validation details (10-fold Crossvalidation)
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-2.7666 ± 0.3907 Cross-validation details (10-fold Crossvalidation)
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0.309 ± 0.0317 Cross-validation details (10-fold Crossvalidation)
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0.1186 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
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0.6914 ± 0.0314 Cross-validation details (10-fold Crossvalidation)
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2534 Per class Cross-validation details (10-fold Crossvalidation) |
0.9297 ± 0.0095 Per class Cross-validation details (10-fold Crossvalidation)
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0.6914 ± 0.0314 Cross-validation details (10-fold Crossvalidation)
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0.3398 ± 0.0005 Cross-validation details (10-fold Crossvalidation)
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2.6049 ± 0.2671 Cross-validation details (10-fold Crossvalidation)
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0.2432 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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0.5502 ± 0.0292 Cross-validation details (10-fold Crossvalidation)
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2.2622 ± 0.1195 Cross-validation details (10-fold Crossvalidation)
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0.7508 ± 0.0487 Cross-validation details (10-fold Crossvalidation)
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