| 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 |
0.812 Per class Cross-validation details (10% Holdout set)
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0.7275 Per class Cross-validation details (10% Holdout set)
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0.4054 Cross-validation details (10% Holdout set)
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0.2915 Cross-validation details (10% Holdout set)
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0.3306 Cross-validation details (10% Holdout set)
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0.4589 Cross-validation details (10% Holdout set)
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0.7312 Cross-validation details (10% Holdout set)
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253 Per class Cross-validation details (10% Holdout set) |
0.7263 Per class Cross-validation details (10% Holdout set)
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0.7312 Cross-validation details (10% Holdout set)
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0.9463 Cross-validation details (10% Holdout set)
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0.7204 Cross-validation details (10% Holdout set)
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0.4813 Cross-validation details (10% Holdout set)
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0.4123 Cross-validation details (10% Holdout set)
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0.8567 Cross-validation details (10% Holdout set)
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0.698 Cross-validation details (10% Holdout set)
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