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"}}] |
0.9605 ± 0.0098 Per class Cross-validation details (10-fold Crossvalidation)
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0.7329 ± 0.0383 Per class Cross-validation details (10-fold Crossvalidation)
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0.7044 ± 0.0433 Cross-validation details (10-fold Crossvalidation)
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0.758 ± 0.0395 Cross-validation details (10-fold Crossvalidation)
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0.0534 ± 0.0067 Cross-validation details (10-fold Crossvalidation)
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0.18 Cross-validation details (10-fold Crossvalidation)
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0.734 ± 0.039 Cross-validation details (10-fold Crossvalidation)
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2000 Per class Cross-validation details (10-fold Crossvalidation) |
0.7328 ± 0.038 Per class Cross-validation details (10-fold Crossvalidation)
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0.734 ± 0.039 Cross-validation details (10-fold Crossvalidation)
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3.3219 Cross-validation details (10-fold Crossvalidation)
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0.2965 ± 0.0375 Cross-validation details (10-fold Crossvalidation)
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0.3 Cross-validation details (10-fold Crossvalidation)
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0.2027 ± 0.0161 Cross-validation details (10-fold Crossvalidation)
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0.6757 ± 0.0538 Cross-validation details (10-fold Crossvalidation)
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0.734 ± 0.039 Cross-validation details (10-fold Crossvalidation)
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