| 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 | 5246.875827996526 |
| sklearn.svm.classes.SVC(35)_cache_size | 200 |
| sklearn.svm.classes.SVC(35)_class_weight | null |
| sklearn.svm.classes.SVC(35)_coef0 | -0.029673191882445993 |
| sklearn.svm.classes.SVC(35)_decision_function_shape | "ovr" |
| sklearn.svm.classes.SVC(35)_degree | 3 |
| sklearn.svm.classes.SVC(35)_gamma | 4.710111226898891 |
| 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 | 58845 |
| sklearn.svm.classes.SVC(35)_shrinking | true |
| sklearn.svm.classes.SVC(35)_tol | 0.0005202679073357088 |
| sklearn.svm.classes.SVC(35)_verbose | false |
0.5 Per class Cross-validation details (10-fold Crossvalidation)
|
0.2486 ± 0.0138 Cross-validation details (10-fold Crossvalidation)
|
0.0694 ± 0.0043 Cross-validation details (10-fold Crossvalidation)
|
0.1299 ± 0.0037 Cross-validation details (10-fold Crossvalidation)
|
1109 Per class Cross-validation details (10-fold Crossvalidation) |
0.9306 ± 0.0043 Cross-validation details (10-fold Crossvalidation)
|
0.3638 ± 0.0159 Cross-validation details (10-fold Crossvalidation)
|
0.9306 ± 0.0043 Per class Cross-validation details (10-fold Crossvalidation)
|
0.5345 ± 0.0182 Cross-validation details (10-fold Crossvalidation)
|
0.2542 ± 0.0073 Cross-validation details (10-fold Crossvalidation)
|
0.2635 ± 0.0082 Cross-validation details (10-fold Crossvalidation)
|
1.0366 ± 0.0026 Cross-validation details (10-fold Crossvalidation)
|