| 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 | 0.09727410759646254 |
| sklearn.svm.classes.SVC(35)_cache_size | 200 |
| sklearn.svm.classes.SVC(35)_class_weight | null |
| sklearn.svm.classes.SVC(35)_coef0 | -0.2954183542764872 |
| sklearn.svm.classes.SVC(35)_decision_function_shape | "ovr" |
| sklearn.svm.classes.SVC(35)_degree | 3 |
| sklearn.svm.classes.SVC(35)_gamma | 0.4376175669022614 |
| 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 | 48752 |
| sklearn.svm.classes.SVC(35)_shrinking | false |
| sklearn.svm.classes.SVC(35)_tol | 0.053891642147869616 |
| sklearn.svm.classes.SVC(35)_verbose | false |
0.5 Per class Cross-validation details (10-fold Crossvalidation)
|
0.1324 ± 0.0053 Cross-validation details (10-fold Crossvalidation)
|
0.3115 ± 0.0028 Cross-validation details (10-fold Crossvalidation)
|
0.3439 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
|
841 Per class Cross-validation details (10-fold Crossvalidation) |
0.3769 ± 0.0056 Cross-validation details (10-fold Crossvalidation)
|
1.7874 ± 0.0186 Cross-validation details (10-fold Crossvalidation)
|
0.3769 ± 0.0056 Per class Cross-validation details (10-fold Crossvalidation)
|
0.906 ± 0.0053 Cross-validation details (10-fold Crossvalidation)
|
0.4146 ± 0.0015 Cross-validation details (10-fold Crossvalidation)
|
0.5582 ± 0.0025 Cross-validation details (10-fold Crossvalidation)
|
1.3464 ± 0.0026 Cross-validation details (10-fold Crossvalidation)
|