| 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 | 0.5020886696170518 |
| sklearn.svm.classes.SVC(35)_cache_size | 200 |
| sklearn.svm.classes.SVC(35)_class_weight | null |
| sklearn.svm.classes.SVC(35)_coef0 | -0.30715413527425617 |
| sklearn.svm.classes.SVC(35)_decision_function_shape | "ovr" |
| sklearn.svm.classes.SVC(35)_degree | 3 |
| sklearn.svm.classes.SVC(35)_gamma | 0.0038826047165906657 |
| 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 | 56431 |
| sklearn.svm.classes.SVC(35)_shrinking | true |
| sklearn.svm.classes.SVC(35)_tol | 0.0161036523890002 |
| sklearn.svm.classes.SVC(35)_verbose | false |
0.5262 ± 0.0072 Per class Cross-validation details (10-fold Crossvalidation)
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0.0524 ± 0.0144 Cross-validation details (10-fold Crossvalidation)
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0.0598 ± 0.0143 Cross-validation details (10-fold Crossvalidation)
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0.0188 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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0.0198 Cross-validation details (10-fold Crossvalidation)
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1600 Per class Cross-validation details (10-fold Crossvalidation) |
0.0619 ± 0.0143 Cross-validation details (10-fold Crossvalidation)
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6.6439 Cross-validation details (10-fold Crossvalidation)
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0.0619 ± 0.0143 Per class Cross-validation details (10-fold Crossvalidation)
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0.9476 ± 0.0144 Cross-validation details (10-fold Crossvalidation)
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0.0995 Cross-validation details (10-fold Crossvalidation)
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0.137 ± 0.001 Cross-validation details (10-fold Crossvalidation)
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1.3767 ± 0.0105 Cross-validation details (10-fold Crossvalidation)
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