| 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 | 0.025 |
| 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 | "scale" |
| sklearn.svm._classes.SVC(12)_kernel | "linear" |
| sklearn.svm._classes.SVC(12)_max_iter | -1 |
| sklearn.svm._classes.SVC(12)_probability | false |
| sklearn.svm._classes.SVC(12)_random_state | 42845 |
| sklearn.svm._classes.SVC(12)_shrinking | true |
| sklearn.svm._classes.SVC(12)_tol | 0.001 |
| sklearn.svm._classes.SVC(12)_verbose | false |
0.96 ± 0.0459 Per class Cross-validation details (10-fold Crossvalidation)
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0.9466 ± 0.0619 Per class Cross-validation details (10-fold Crossvalidation)
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0.92 ± 0.0919 Cross-validation details (10-fold Crossvalidation)
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0.927 ± 0.0839 Cross-validation details (10-fold Crossvalidation)
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0.0356 ± 0.0408 Cross-validation details (10-fold Crossvalidation)
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0.4444 Cross-validation details (10-fold Crossvalidation)
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0.9467 ± 0.0613 Cross-validation details (10-fold Crossvalidation)
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150 Per class Cross-validation details (10-fold Crossvalidation) |
0.9471 ± 0.0586 Per class Cross-validation details (10-fold Crossvalidation)
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0.9467 ± 0.0613 Cross-validation details (10-fold Crossvalidation)
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1.585 Cross-validation details (10-fold Crossvalidation)
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0.08 ± 0.0919 Cross-validation details (10-fold Crossvalidation)
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0.4714 Cross-validation details (10-fold Crossvalidation)
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0.1886 ± 0.1309 Cross-validation details (10-fold Crossvalidation)
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0.4 ± 0.2776 Cross-validation details (10-fold Crossvalidation)
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0.9467 ± 0.0613 Cross-validation details (10-fold Crossvalidation)
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