Run
10560642

Run 10560642

Task 9977 (Supervised Classification) nomao Uploaded 21-08-2021 by Sergey Redyuk
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Flow

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)_axis0
sklearn.preprocessing.imputation.Imputer(54)_copytrue
sklearn.preprocessing.imputation.Imputer(54)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(54)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(54)_verbose0
sklearn.naive_bayes.GaussianNB(21)_priorsnull
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.naive_bayes.GaussianNB)(2)_memorynull
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"}}]

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

0.8154 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
0.7809 ± 0.007
Per class
Cross-validation details (10-fold Crossvalidation)
0.438 ± 0.0182
Cross-validation details (10-fold Crossvalidation)
0.4705 ± 0.0162
Cross-validation details (10-fold Crossvalidation)
0.1993 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
0.4081 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.8008 ± 0.006
Cross-validation details (10-fold Crossvalidation)
34465
Per class
Cross-validation details (10-fold Crossvalidation)
0.7962 ± 0.0076
Per class
Cross-validation details (10-fold Crossvalidation)
0.8008 ± 0.006
Cross-validation details (10-fold Crossvalidation)
0.863 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.4885 ± 0.0149
Cross-validation details (10-fold Crossvalidation)
0.4517 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.4449 ± 0.007
Cross-validation details (10-fold Crossvalidation)
0.9849 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
0.6902 ± 0.0085
Cross-validation details (10-fold Crossvalidation)