Run
10398819

Run 10398819

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 17-09-2019 by Jan van Rijn
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Flow

sklearn.svm.classes.SVC(35)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(35)_C0.06163194629209356
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef00.1816754433204899
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree3
sklearn.svm.classes.SVC(35)_gamma0.005310565258791546
sklearn.svm.classes.SVC(35)_kernel"sigmoid"
sklearn.svm.classes.SVC(35)_max_iter-1
sklearn.svm.classes.SVC(35)_probabilityfalse
sklearn.svm.classes.SVC(35)_random_state32430
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.04823159667734891
sklearn.svm.classes.SVC(35)_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.

15 Evaluation measures

0.5
Per class
Cross-validation details (10-fold Crossvalidation)
0.2023 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
0.3467 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
0.4531 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
1941
Per class
Cross-validation details (10-fold Crossvalidation)
0.6533 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
0.9311 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
0.6533 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
0.7653 ± 0.0038
Cross-validation details (10-fold Crossvalidation)
0.4759 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
0.5888 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
1.2372 ± 0.0021
Cross-validation details (10-fold Crossvalidation)