Run
9068

Run 9068

Task 119 (Supervised Classification) diabetes Uploaded 25-11-2022 by Continuous Integration
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Flow

TESTda91c73ccasklearn.pipeline.Pipeline(imputer=sklearn.impute._base.Simple Imputer,classifier=sklearn.dummy.DummyClassifier)(1)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 it to 'passthrough' or ``None``.
TESTda91c73ccasklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TESTda91c73ccasklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]
TESTda91c73ccasklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbosefalse
TESTda91c73ccasklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
TESTda91c73ccasklearn.impute._base.SimpleImputer(1)_copytrue
TESTda91c73ccasklearn.impute._base.SimpleImputer(1)_fill_valuenull
TESTda91c73ccasklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
TESTda91c73ccasklearn.impute._base.SimpleImputer(1)_strategy"mean"
TESTda91c73ccasklearn.impute._base.SimpleImputer(1)_verbose0
TESTda91c73ccasklearn.dummy.DummyClassifier(1)_constantnull
TESTda91c73ccasklearn.dummy.DummyClassifier(1)_random_state21124
TESTda91c73ccasklearn.dummy.DummyClassifier(1)_strategy"prior"

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.

16 Evaluation measures