Run
9853

Run 9853

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_state9592
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)
0.9818
Per class
Cross-validation details (10% Holdout set)
0.9798
Cross-validation details (10% Holdout set)
0.9395
Cross-validation details (10% Holdout set)
0.0209
Cross-validation details (10% Holdout set)
0.18
Cross-validation details (10% Holdout set)
0.9818
Cross-validation details (10% Holdout set)
660
Per class
Cross-validation details (10% Holdout set)
0.9822
Per class
Cross-validation details (10% Holdout set)
0.9818
Cross-validation details (10% Holdout set)
3.3219
Cross-validation details (10% Holdout set)
0.1161
Cross-validation details (10% Holdout set)
0.3
Cross-validation details (10% Holdout set)
0.0705
Cross-validation details (10% Holdout set)
0.2349
Cross-validation details (10% Holdout set)
0.9822
Cross-validation details (10% Holdout set)