Run
10560213

Run 10560213

Task 9952 (Supervised Classification) phoneme 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_state45759
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

0.9102 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
0.8407 ± 0.0161
Per class
Cross-validation details (10-fold Crossvalidation)
0.6118 ± 0.0398
Cross-validation details (10-fold Crossvalidation)
0.4884 ± 0.0247
Cross-validation details (10-fold Crossvalidation)
0.2145 ± 0.0082
Cross-validation details (10-fold Crossvalidation)
0.4147 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.8425 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
5404
Per class
Cross-validation details (10-fold Crossvalidation)
0.8397 ± 0.0161
Per class
Cross-validation details (10-fold Crossvalidation)
0.8425 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
0.8732 ± 0.001
Cross-validation details (10-fold Crossvalidation)
0.5171 ± 0.0198
Cross-validation details (10-fold Crossvalidation)
0.4554 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.3295 ± 0.0122
Cross-validation details (10-fold Crossvalidation)
0.7237 ± 0.0268
Cross-validation details (10-fold Crossvalidation)
0.7992 ± 0.0218
Cross-validation details (10-fold Crossvalidation)