| 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"}}] |
0.8175 ± 0.0149 Per class Cross-validation details (10-fold Crossvalidation)
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0.7678 ± 0.0113 Per class Cross-validation details (10-fold Crossvalidation)
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0.4657 ± 0.0248 Cross-validation details (10-fold Crossvalidation)
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0.2877 ± 0.0326 Cross-validation details (10-fold Crossvalidation)
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0.278 ± 0.0115 Cross-validation details (10-fold Crossvalidation)
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0.4147 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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0.7605 ± 0.0121 Cross-validation details (10-fold Crossvalidation)
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5404 Per class Cross-validation details (10-fold Crossvalidation) |
0.785 ± 0.0116 Per class Cross-validation details (10-fold Crossvalidation)
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0.7605 ± 0.0121 Cross-validation details (10-fold Crossvalidation)
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0.8732 ± 0.001 Cross-validation details (10-fold Crossvalidation)
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0.6703 ± 0.028 Cross-validation details (10-fold Crossvalidation)
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0.4554 ± 0.0004 Cross-validation details (10-fold Crossvalidation)
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0.4285 ± 0.0113 Cross-validation details (10-fold Crossvalidation)
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0.9409 ± 0.025 Cross-validation details (10-fold Crossvalidation)
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0.7517 ± 0.0148 Cross-validation details (10-fold Crossvalidation)
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