| 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"}}] |
0.9386 ± 0.0199 Per class Cross-validation details (10-fold Crossvalidation)
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0.8377 ± 0.0339 Per class Cross-validation details (10-fold Crossvalidation)
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0.6706 ± 0.0689 Cross-validation details (10-fold Crossvalidation)
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0.628 ± 0.0534 Cross-validation details (10-fold Crossvalidation)
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0.1896 ± 0.0249 Cross-validation details (10-fold Crossvalidation)
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0.4939 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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0.8382 ± 0.0335 Cross-validation details (10-fold Crossvalidation)
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1372 Per class Cross-validation details (10-fold Crossvalidation) |
0.8381 ± 0.0335 Per class Cross-validation details (10-fold Crossvalidation)
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0.8382 ± 0.0335 Cross-validation details (10-fold Crossvalidation)
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0.9911 ± 0.0004 Cross-validation details (10-fold Crossvalidation)
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0.3839 ± 0.0505 Cross-validation details (10-fold Crossvalidation)
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0.4969 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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0.3241 ± 0.0328 Cross-validation details (10-fold Crossvalidation)
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0.6523 ± 0.0661 Cross-validation details (10-fold Crossvalidation)
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0.8336 ± 0.035 Cross-validation details (10-fold Crossvalidation)
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