Run
10560288

Run 10560288

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

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,svc=sklearn.svm.classes.SVC)(8)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.data.StandardScaler(43)_copytrue
sklearn.preprocessing.data.StandardScaler(43)_with_meantrue
sklearn.preprocessing.data.StandardScaler(43)_with_stdtrue
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(8)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
sklearn.svm.classes.SVC(46)_C1.0
sklearn.svm.classes.SVC(46)_cache_size200
sklearn.svm.classes.SVC(46)_class_weightnull
sklearn.svm.classes.SVC(46)_coef00.0
sklearn.svm.classes.SVC(46)_decision_function_shapenull
sklearn.svm.classes.SVC(46)_degree3
sklearn.svm.classes.SVC(46)_gamma"auto"
sklearn.svm.classes.SVC(46)_kernel"rbf"
sklearn.svm.classes.SVC(46)_max_iter-1
sklearn.svm.classes.SVC(46)_probabilitytrue
sklearn.svm.classes.SVC(46)_random_state39952
sklearn.svm.classes.SVC(46)_shrinkingtrue
sklearn.svm.classes.SVC(46)_tol0.001
sklearn.svm.classes.SVC(46)_verbosefalse

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

0.7284 ± 0.0359
Per class
Cross-validation details (10-fold Crossvalidation)
0.5352 ± 0.0351
Per class
Cross-validation details (10-fold Crossvalidation)
0.2791 ± 0.0521
Cross-validation details (10-fold Crossvalidation)
0.2002 ± 0.0245
Cross-validation details (10-fold Crossvalidation)
0.3748 ± 0.0082
Cross-validation details (10-fold Crossvalidation)
0.4308 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.5465 ± 0.033
Cross-validation details (10-fold Crossvalidation)
1473
Per class
Cross-validation details (10-fold Crossvalidation)
0.5377 ± 0.0406
Per class
Cross-validation details (10-fold Crossvalidation)
0.5465 ± 0.033
Cross-validation details (10-fold Crossvalidation)
1.539 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
0.87 ± 0.0191
Cross-validation details (10-fold Crossvalidation)
0.4641 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.4306 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
0.9277 ± 0.0234
Cross-validation details (10-fold Crossvalidation)
0.5072 ± 0.037
Cross-validation details (10-fold Crossvalidation)