| 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 | "scale" |
| 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 | 26504 |
| sklearn.svm._classes.SVC(12)_shrinking | true |
| sklearn.svm._classes.SVC(12)_tol | 0.001 |
| sklearn.svm._classes.SVC(12)_verbose | false |
0.975 ± 0.0264 Per class Cross-validation details (10-fold Crossvalidation)
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0.9667 ± 0.0355 Per class Cross-validation details (10-fold Crossvalidation)
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0.95 ± 0.0527 Cross-validation details (10-fold Crossvalidation)
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0.9544 ± 0.0481 Cross-validation details (10-fold Crossvalidation)
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0.0222 ± 0.0234 Cross-validation details (10-fold Crossvalidation)
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0.4444 Cross-validation details (10-fold Crossvalidation)
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0.9667 ± 0.0351 Cross-validation details (10-fold Crossvalidation)
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150 Per class Cross-validation details (10-fold Crossvalidation) |
0.9668 ± 0.0293 Per class Cross-validation details (10-fold Crossvalidation)
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0.9667 ± 0.0351 Cross-validation details (10-fold Crossvalidation)
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1.585 Cross-validation details (10-fold Crossvalidation)
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0.05 ± 0.0527 Cross-validation details (10-fold Crossvalidation)
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0.4714 Cross-validation details (10-fold Crossvalidation)
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0.1491 ± 0.1111 Cross-validation details (10-fold Crossvalidation)
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0.3162 ± 0.2357 Cross-validation details (10-fold Crossvalidation)
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0.9667 ± 0.0351 Cross-validation details (10-fold Crossvalidation)
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