Run
9951

Run 9951

Task 59 (Supervised Classification) mfeat-pixel Uploaded 07-11-2019 by Matthias Feurer
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Flow

sklearn.svm.classes.SVC(2)C-Support Vector Classification. The implementation is based on libsvm. The fit time scales at least quadratically with the number of samples and may be impractical beyond tens of thousands of samples. For large datasets consider using :class:`sklearn.linear_model.LinearSVC` or :class:`sklearn.linear_model.SGDClassifier` instead, possibly after a :class:`sklearn.kernel_approximation.Nystroem` transformer. 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(2)_C0.5
sklearn.svm.classes.SVC(2)_cache_size200
sklearn.svm.classes.SVC(2)_class_weightnull
sklearn.svm.classes.SVC(2)_coef00.0
sklearn.svm.classes.SVC(2)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(2)_degree3
sklearn.svm.classes.SVC(2)_gamma"auto"
sklearn.svm.classes.SVC(2)_kernel"linear"
sklearn.svm.classes.SVC(2)_max_iter-1
sklearn.svm.classes.SVC(2)_probabilitytrue
sklearn.svm.classes.SVC(2)_random_state36700
sklearn.svm.classes.SVC(2)_shrinkingtrue
sklearn.svm.classes.SVC(2)_tol1e-05
sklearn.svm.classes.SVC(2)_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

0.9995
Per class
Cross-validation details (10% Holdout set)
0.9848
Per class
Cross-validation details (10% Holdout set)
0.9832
Cross-validation details (10% Holdout set)
0.9407
Cross-validation details (10% Holdout set)
0.0205
Cross-validation details (10% Holdout set)
0.18
Cross-validation details (10% Holdout set)
0.9848
Cross-validation details (10% Holdout set)
660
Per class
Cross-validation details (10% Holdout set)
0.985
Per class
Cross-validation details (10% Holdout set)
0.9848
Cross-validation details (10% Holdout set)
3.3219
Cross-validation details (10% Holdout set)
0.1141
Cross-validation details (10% Holdout set)
0.3
Cross-validation details (10% Holdout set)
0.0697
Cross-validation details (10% Holdout set)
0.2324
Cross-validation details (10% Holdout set)
0.9853
Cross-validation details (10% Holdout set)