Run
10560137

Run 10560137

Task 23 (Supervised Classification) cmc Uploaded 13-08-2021 by Sergey Redyuk
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Flow

sklearn.pipeline.Pipeline(Median-Imputer=sklearn.preprocessing.imputation.I mputer,learner=sklearn.naive_bayes.GaussianNB)(2)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 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 to None.
sklearn.preprocessing.imputation.Imputer(52)_axis0
sklearn.preprocessing.imputation.Imputer(52)_copytrue
sklearn.preprocessing.imputation.Imputer(52)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(52)_strategy"median"
sklearn.preprocessing.imputation.Imputer(52)_verbose0
sklearn.pipeline.Pipeline(Median-Imputer=sklearn.preprocessing.imputation.Imputer,learner=sklearn.naive_bayes.GaussianNB)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "Median-Imputer", "step_name": "Median-Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "learner", "step_name": "learner"}}]
sklearn.naive_bayes.GaussianNB(20)_priorsnull

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

0.6659 ± 0.0272
Per class
Cross-validation details (10-fold Crossvalidation)
0.4694 ± 0.0426
Per class
Cross-validation details (10-fold Crossvalidation)
0.2172 ± 0.0555
Cross-validation details (10-fold Crossvalidation)
0.2227 ± 0.0375
Cross-validation details (10-fold Crossvalidation)
0.3728 ± 0.0154
Cross-validation details (10-fold Crossvalidation)
0.4308 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.4684 ± 0.0414
Cross-validation details (10-fold Crossvalidation)
1473
Per class
Cross-validation details (10-fold Crossvalidation)
0.5103 ± 0.0328
Per class
Cross-validation details (10-fold Crossvalidation)
0.4684 ± 0.0414
Cross-validation details (10-fold Crossvalidation)
1.539 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
0.8653 ± 0.0359
Cross-validation details (10-fold Crossvalidation)
0.4641 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.4816 ± 0.0168
Cross-validation details (10-fold Crossvalidation)
1.0376 ± 0.0365
Cross-validation details (10-fold Crossvalidation)
0.4937 ± 0.0403
Cross-validation details (10-fold Crossvalidation)