| Issue | #Downvotes for this reason | By |
|---|
| sklearn.svm.classes.SVC(35) | C-Support Vector Classification. The implementation is based on libsvm. The fit time complexity is more than quadratic with the number of samples which makes it hard to scale to dataset with more than a couple of 10000 samples. 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(35)_C | 1.3505496576056615 |
| sklearn.svm.classes.SVC(35)_cache_size | 200 |
| sklearn.svm.classes.SVC(35)_class_weight | null |
| sklearn.svm.classes.SVC(35)_coef0 | 0.9394965902806032 |
| sklearn.svm.classes.SVC(35)_decision_function_shape | "ovr" |
| sklearn.svm.classes.SVC(35)_degree | 3 |
| sklearn.svm.classes.SVC(35)_gamma | 0.7192985461586294 |
| sklearn.svm.classes.SVC(35)_kernel | "sigmoid" |
| sklearn.svm.classes.SVC(35)_max_iter | -1 |
| sklearn.svm.classes.SVC(35)_probability | false |
| sklearn.svm.classes.SVC(35)_random_state | 21004 |
| sklearn.svm.classes.SVC(35)_shrinking | false |
| sklearn.svm.classes.SVC(35)_tol | 0.008133025839758405 |
| sklearn.svm.classes.SVC(35)_verbose | false |
0.5 Per class Cross-validation details (10-fold Crossvalidation)
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0.1296 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
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0.1455 ± 0.0004 Cross-validation details (10-fold Crossvalidation)
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0.1679 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
|
2126 Per class Cross-validation details (10-fold Crossvalidation) |
0.2723 ± 0.0018 Cross-validation details (10-fold Crossvalidation)
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2.9134 ± 0.0053 Cross-validation details (10-fold Crossvalidation)
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0.2723 ± 0.0018 Per class Cross-validation details (10-fold Crossvalidation)
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0.8666 ± 0.002 Cross-validation details (10-fold Crossvalidation)
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0.2897 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
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0.3815 ± 0.0005 Cross-validation details (10-fold Crossvalidation)
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1.3167 ± 0.0015 Cross-validation details (10-fold Crossvalidation)
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