Issue | #Downvotes for this reason | By |
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sklearn.svm._classes.SVC(12) | 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.svm.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(12)_C | 1 |
sklearn.svm._classes.SVC(12)_break_ties | false |
sklearn.svm._classes.SVC(12)_cache_size | 200 |
sklearn.svm._classes.SVC(12)_class_weight | null |
sklearn.svm._classes.SVC(12)_coef0 | 0.0 |
sklearn.svm._classes.SVC(12)_decision_function_shape | "ovr" |
sklearn.svm._classes.SVC(12)_degree | 3 |
sklearn.svm._classes.SVC(12)_gamma | 2 |
sklearn.svm._classes.SVC(12)_kernel | "rbf" |
sklearn.svm._classes.SVC(12)_max_iter | -1 |
sklearn.svm._classes.SVC(12)_probability | false |
sklearn.svm._classes.SVC(12)_random_state | 19266 |
sklearn.svm._classes.SVC(12)_shrinking | true |
sklearn.svm._classes.SVC(12)_tol | 0.001 |
sklearn.svm._classes.SVC(12)_verbose | false |
0.5134 ± 0.0267 Per class Cross-validation details (10-fold Crossvalidation)
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0.6764 ± 0.0261 Per class Cross-validation details (10-fold Crossvalidation)
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0.0373 ± 0.0733 Cross-validation details (10-fold Crossvalidation)
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0.223 ± 0.0624 Cross-validation details (10-fold Crossvalidation)
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0.25 ± 0.0199 Cross-validation details (10-fold Crossvalidation)
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0.363 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
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0.75 ± 0.0199 Cross-validation details (10-fold Crossvalidation)
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748 Per class Cross-validation details (10-fold Crossvalidation) |
0.669 ± 0.0811 Per class Cross-validation details (10-fold Crossvalidation)
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0.75 ± 0.0199 Cross-validation details (10-fold Crossvalidation)
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0.7916 ± 0.0072 Cross-validation details (10-fold Crossvalidation)
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0.6886 ± 0.0551 Cross-validation details (10-fold Crossvalidation)
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0.4258 ± 0.0027 Cross-validation details (10-fold Crossvalidation)
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0.5 ± 0.0201 Cross-validation details (10-fold Crossvalidation)
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1.1742 ± 0.0478 Cross-validation details (10-fold Crossvalidation)
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0.5134 ± 0.0267 Cross-validation details (10-fold Crossvalidation)
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