| Issue | #Downvotes for this reason | By |
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| sklearn.svm._classes.SVC(9) | 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(9)_C | 1.0 |
| sklearn.svm._classes.SVC(9)_break_ties | false |
| sklearn.svm._classes.SVC(9)_cache_size | 200 |
| sklearn.svm._classes.SVC(9)_class_weight | null |
| sklearn.svm._classes.SVC(9)_coef0 | 0.0 |
| sklearn.svm._classes.SVC(9)_decision_function_shape | "ovr" |
| sklearn.svm._classes.SVC(9)_degree | 3 |
| sklearn.svm._classes.SVC(9)_gamma | "scale" |
| sklearn.svm._classes.SVC(9)_kernel | "rbf" |
| sklearn.svm._classes.SVC(9)_max_iter | -1 |
| sklearn.svm._classes.SVC(9)_probability | false |
| sklearn.svm._classes.SVC(9)_random_state | 24128 |
| sklearn.svm._classes.SVC(9)_shrinking | true |
| sklearn.svm._classes.SVC(9)_tol | 0.001 |
| sklearn.svm._classes.SVC(9)_verbose | false |
0.5133 ± 0.0242 Per class Cross-validation details (10-fold Crossvalidation)
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0.6747 ± 0.0276 Per class Cross-validation details (10-fold Crossvalidation)
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0.0395 ± 0.0699 Cross-validation details (10-fold Crossvalidation)
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0.2687 ± 0.059 Cross-validation details (10-fold Crossvalidation)
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0.2353 ± 0.0196 Cross-validation details (10-fold Crossvalidation)
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0.363 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
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0.7647 ± 0.0196 Cross-validation details (10-fold Crossvalidation)
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748 Per class Cross-validation details (10-fold Crossvalidation) |
0.7272 ± 0.1248 Per class Cross-validation details (10-fold Crossvalidation)
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0.7647 ± 0.0196 Cross-validation details (10-fold Crossvalidation)
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0.7916 ± 0.0072 Cross-validation details (10-fold Crossvalidation)
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0.6481 ± 0.0528 Cross-validation details (10-fold Crossvalidation)
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0.4258 ± 0.0027 Cross-validation details (10-fold Crossvalidation)
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0.4851 ± 0.0198 Cross-validation details (10-fold Crossvalidation)
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1.1391 ± 0.0446 Cross-validation details (10-fold Crossvalidation)
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0.5133 ± 0.0242 Cross-validation details (10-fold Crossvalidation)
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