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Run 715

Task 119 (Supervised Classification) diabetes Uploaded 11-01-2024 by Continuous Integration
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TEST848ad7be25sklearn.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``.
TEST848ad7be25sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TEST848ad7be25sklearn.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"}}]
TEST848ad7be25sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbosefalse
TEST848ad7be25sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
TEST848ad7be25sklearn.impute._base.SimpleImputer(1)_copytrue
TEST848ad7be25sklearn.impute._base.SimpleImputer(1)_fill_valuenull
TEST848ad7be25sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
TEST848ad7be25sklearn.impute._base.SimpleImputer(1)_strategy"mean"
TEST848ad7be25sklearn.impute._base.SimpleImputer(1)_verbose0
TEST848ad7be25sklearn.dummy.DummyClassifier(1)_constantnull
TEST848ad7be25sklearn.dummy.DummyClassifier(1)_random_state28397
TEST848ad7be25sklearn.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