| Issue | #Downvotes for this reason | By |
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| sklearn.svm._classes.SVC(17) | 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 or other :ref:`kernel_approximation`. 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`. To learn how to tune SVC's hyperparameters, see the following example: :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` |
| sklearn.svm._classes.SVC(17)_C | 1.2 |
| sklearn.svm._classes.SVC(17)_break_ties | false |
| sklearn.svm._classes.SVC(17)_cache_size | 200 |
| sklearn.svm._classes.SVC(17)_class_weight | null |
| sklearn.svm._classes.SVC(17)_coef0 | 0.0 |
| sklearn.svm._classes.SVC(17)_decision_function_shape | "ovr" |
| sklearn.svm._classes.SVC(17)_degree | 3 |
| sklearn.svm._classes.SVC(17)_gamma | "scale" |
| sklearn.svm._classes.SVC(17)_kernel | "linear" |
| sklearn.svm._classes.SVC(17)_max_iter | -1 |
| sklearn.svm._classes.SVC(17)_probability | false |
| sklearn.svm._classes.SVC(17)_random_state | 26003 |
| sklearn.svm._classes.SVC(17)_shrinking | true |
| sklearn.svm._classes.SVC(17)_tol | 0.001 |
| sklearn.svm._classes.SVC(17)_verbose | false |
0.8387 Per class Cross-validation details (10% Holdout set)
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0.7671 Per class Cross-validation details (10% Holdout set)
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0.4882 Cross-validation details (10% Holdout set)
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0.3122 Cross-validation details (10% Holdout set)
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0.7747 Cross-validation details (10% Holdout set)
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253 Per class Cross-validation details (10% Holdout set) |
0.7714 Per class Cross-validation details (10% Holdout set)
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0.7747 Cross-validation details (10% Holdout set)
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0.9463 Cross-validation details (10% Holdout set)
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0.7083 Cross-validation details (10% Holdout set)
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0.4813 Cross-validation details (10% Holdout set)
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0.3959 Cross-validation details (10% Holdout set)
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0.8226 Cross-validation details (10% Holdout set)
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0.7321 Cross-validation details (10% Holdout set)
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