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Task 119 (Supervised Classification) diabetes Uploaded 17-10-2024 by Continuous Integration
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Flow

TEST3ed6caa603sklearn.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`.
TEST3ed6caa603sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TEST3ed6caa603sklearn.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"}}]
TEST3ed6caa603sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbosefalse
TEST3ed6caa603sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
TEST3ed6caa603sklearn.impute._base.SimpleImputer(1)_copytrue
TEST3ed6caa603sklearn.impute._base.SimpleImputer(1)_fill_valuenull
TEST3ed6caa603sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
TEST3ed6caa603sklearn.impute._base.SimpleImputer(1)_strategy"mean"
TEST3ed6caa603sklearn.impute._base.SimpleImputer(1)_verbose0
TEST3ed6caa603sklearn.dummy.DummyClassifier(1)_constantnull
TEST3ed6caa603sklearn.dummy.DummyClassifier(1)_random_state30028
TEST3ed6caa603sklearn.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