Run
10560079

Run 10560079

Task 146817 (Supervised Classification) steel-plates-fault Uploaded 13-08-2021 by Sergey Redyuk
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Flow

sklearn.svm.classes.SVC(45)C-Support Vector Classification. The implementation is based on libsvm. The fit time complexity is more than quadratic with the number of samples which makes it hard to scale to dataset with more than a couple of 10000 samples. The multiclass support is handled according to a one-vs-one scheme. For details on the precise mathematical formulation of the provided kernel functions and how `gamma`, `coef0` and `degree` affect each other, see the corresponding section in the narrative documentation: :ref:`svm_kernels`.
sklearn.svm.classes.SVC(45)_C1.0
sklearn.svm.classes.SVC(45)_cache_size200
sklearn.svm.classes.SVC(45)_class_weightnull
sklearn.svm.classes.SVC(45)_coef00.0
sklearn.svm.classes.SVC(45)_decision_function_shapenull
sklearn.svm.classes.SVC(45)_degree3
sklearn.svm.classes.SVC(45)_gamma"auto"
sklearn.svm.classes.SVC(45)_kernel"rbf"
sklearn.svm.classes.SVC(45)_max_iter-1
sklearn.svm.classes.SVC(45)_probabilityfalse
sklearn.svm.classes.SVC(45)_random_state62551
sklearn.svm.classes.SVC(45)_shrinkingtrue
sklearn.svm.classes.SVC(45)_tol0.001
sklearn.svm.classes.SVC(45)_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.

16 Evaluation measures

0.5
Per class
Cross-validation details (10-fold Crossvalidation)
0.1529 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
0.1866 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.2223 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.3467 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
1941
Per class
Cross-validation details (10-fold Crossvalidation)
0.3467 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
2.4107 ± 0.0095
Cross-validation details (10-fold Crossvalidation)
0.8395 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
0.3334 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.432 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
1.296 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
0.1429
Cross-validation details (10-fold Crossvalidation)