| Issue | #Downvotes for this reason | By |
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| 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.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(2)_C | 1.0 |
| sklearn.svm._classes.SVC(2)_break_ties | false |
| sklearn.svm._classes.SVC(2)_cache_size | 200 |
| sklearn.svm._classes.SVC(2)_class_weight | null |
| sklearn.svm._classes.SVC(2)_coef0 | 0.0 |
| sklearn.svm._classes.SVC(2)_decision_function_shape | "ovr" |
| sklearn.svm._classes.SVC(2)_degree | 3 |
| sklearn.svm._classes.SVC(2)_gamma | "scale" |
| sklearn.svm._classes.SVC(2)_kernel | "rbf" |
| sklearn.svm._classes.SVC(2)_max_iter | -1 |
| sklearn.svm._classes.SVC(2)_probability | false |
| sklearn.svm._classes.SVC(2)_random_state | 59237 |
| sklearn.svm._classes.SVC(2)_shrinking | true |
| sklearn.svm._classes.SVC(2)_tol | 0.001 |
| sklearn.svm._classes.SVC(2)_verbose | false |
0.5 Per class Cross-validation details (10-fold Crossvalidation)
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0.2364 ± 0.0024 Cross-validation details (10-fold Crossvalidation)
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0.0539 ± 0.0007 Cross-validation details (10-fold Crossvalidation)
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0.1022 ± 0.0006 Cross-validation details (10-fold Crossvalidation)
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0.9461 ± 0.0007 Cross-validation details (10-fold Crossvalidation)
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4839 Per class Cross-validation details (10-fold Crossvalidation) |
0.9461 ± 0.0007 Cross-validation details (10-fold Crossvalidation)
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0.3029 ± 0.0027 Cross-validation details (10-fold Crossvalidation)
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0.5277 ± 0.0033 Cross-validation details (10-fold Crossvalidation)
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0.2259 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
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0.2322 ± 0.0014 Cross-validation details (10-fold Crossvalidation)
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1.0281 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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0.5 Cross-validation details (10-fold Crossvalidation)
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