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144

Run 144

Task 119 (Supervised Classification) diabetes Uploaded 29-10-2019 by Continuous Integration
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TEST0b59c52a65sklearn.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``.
TEST0b59c52a65sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TEST0b59c52a65sklearn.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"}}]
TEST0b59c52a65sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbosefalse
TEST0b59c52a65sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
TEST0b59c52a65sklearn.impute._base.SimpleImputer(1)_copytrue
TEST0b59c52a65sklearn.impute._base.SimpleImputer(1)_fill_valuenull
TEST0b59c52a65sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
TEST0b59c52a65sklearn.impute._base.SimpleImputer(1)_strategy"mean"
TEST0b59c52a65sklearn.impute._base.SimpleImputer(1)_verbose0
TEST0b59c52a65sklearn.dummy.DummyClassifier(1)_constantnull
TEST0b59c52a65sklearn.dummy.DummyClassifier(1)_random_state51507
TEST0b59c52a65sklearn.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

0.4581
Per class
Cross-validation details (10% Holdout set)
0.4963
Per class
Cross-validation details (10% Holdout set)
-0.0831
Cross-validation details (10% Holdout set)
-0.1427
Cross-validation details (10% Holdout set)
0.5059
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.4941
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.4987
Per class
Cross-validation details (10% Holdout set)
0.4941
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
1.1024
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.7113
Cross-validation details (10% Holdout set)
1.478
Cross-validation details (10% Holdout set)
0.4581
Cross-validation details (10% Holdout set)