| 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 | 890.6484417371004 |
| sklearn.svm.classes.SVC(35)_cache_size | 200 |
| sklearn.svm.classes.SVC(35)_class_weight | null |
| sklearn.svm.classes.SVC(35)_coef0 | -0.28587915329610913 |
| sklearn.svm.classes.SVC(35)_decision_function_shape | "ovr" |
| sklearn.svm.classes.SVC(35)_degree | 3 |
| sklearn.svm.classes.SVC(35)_gamma | 0.06126110801098913 |
| 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 | 59015 |
| sklearn.svm.classes.SVC(35)_shrinking | false |
| sklearn.svm.classes.SVC(35)_tol | 0.0012513137354175149 |
| sklearn.svm.classes.SVC(35)_verbose | false |
0.5 Per class Cross-validation details (10-fold Crossvalidation)
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0.2023 ± 0.0034 Cross-validation details (10-fold Crossvalidation)
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0.3467 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
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0.4531 ± 0.0007 Cross-validation details (10-fold Crossvalidation)
|
1941 Per class Cross-validation details (10-fold Crossvalidation) |
0.6533 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
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0.9311 ± 0.0021 Cross-validation details (10-fold Crossvalidation)
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0.6533 ± 0.0023 Per class Cross-validation details (10-fold Crossvalidation)
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0.7653 ± 0.0038 Cross-validation details (10-fold Crossvalidation)
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0.4759 ± 0.0007 Cross-validation details (10-fold Crossvalidation)
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0.5888 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
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1.2372 ± 0.0021 Cross-validation details (10-fold Crossvalidation)
|