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"}}] |
0.7859 ± 0.014 Per class Cross-validation details (10-fold Crossvalidation)
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0.5298 ± 0.0228 Per class Cross-validation details (10-fold Crossvalidation)
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0.3601 ± 0.0258 Cross-validation details (10-fold Crossvalidation)
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0.4146 ± 0.0218 Cross-validation details (10-fold Crossvalidation)
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0.2364 ± 0.0078 Cross-validation details (10-fold Crossvalidation)
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0.3312 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
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0.526 ± 0.0209 Cross-validation details (10-fold Crossvalidation)
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5456 Per class Cross-validation details (10-fold Crossvalidation) |
0.6265 ± 0.0245 Per class Cross-validation details (10-fold Crossvalidation)
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0.526 ± 0.0209 Cross-validation details (10-fold Crossvalidation)
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1.7146 ± 0.0017 Cross-validation details (10-fold Crossvalidation)
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0.7137 ± 0.0237 Cross-validation details (10-fold Crossvalidation)
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0.4069 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
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0.4371 ± 0.0092 Cross-validation details (10-fold Crossvalidation)
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1.0741 ± 0.0227 Cross-validation details (10-fold Crossvalidation)
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0.6639 ± 0.0207 Cross-validation details (10-fold Crossvalidation)
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