Run
31778

Run 31778

Task 119 (Supervised Classification) diabetes Uploaded 30-03-2021 by Continuous Integration
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TEST8a9d29c9e0sklearn.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``.
TEST8a9d29c9e0sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TEST8a9d29c9e0sklearn.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"}}]
TEST8a9d29c9e0sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbosefalse
TEST8a9d29c9e0sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
TEST8a9d29c9e0sklearn.impute._base.SimpleImputer(1)_copytrue
TEST8a9d29c9e0sklearn.impute._base.SimpleImputer(1)_fill_valuenull
TEST8a9d29c9e0sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
TEST8a9d29c9e0sklearn.impute._base.SimpleImputer(1)_strategy"mean"
TEST8a9d29c9e0sklearn.impute._base.SimpleImputer(1)_verbose0
TEST8a9d29c9e0sklearn.dummy.DummyClassifier(1)_constantnull
TEST8a9d29c9e0sklearn.dummy.DummyClassifier(1)_random_state47732
TEST8a9d29c9e0sklearn.dummy.DummyClassifier(1)_strategy"stratified"

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

0.4612
Per class
Cross-validation details (10% Holdout set)
0.5047
Per class
Cross-validation details (10% Holdout set)
-0.0791
Cross-validation details (10% Holdout set)
-0.107
Cross-validation details (10% Holdout set)
0.4901
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.5099
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.5004
Per class
Cross-validation details (10% Holdout set)
0.5099
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
1.068
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.7001
Cross-validation details (10% Holdout set)
1.4547
Cross-validation details (10% Holdout set)
0.4612
Cross-validation details (10% Holdout set)