| 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 | 516.7383333769102 |
| sklearn.svm.classes.SVC(35)_cache_size | 200 |
| sklearn.svm.classes.SVC(35)_class_weight | null |
| sklearn.svm.classes.SVC(35)_coef0 | -0.405043557426745 |
| sklearn.svm.classes.SVC(35)_decision_function_shape | "ovr" |
| sklearn.svm.classes.SVC(35)_degree | 3 |
| sklearn.svm.classes.SVC(35)_gamma | 0.8690038766528384 |
| 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 | 38761 |
| sklearn.svm.classes.SVC(35)_shrinking | true |
| sklearn.svm.classes.SVC(35)_tol | 0.003813910849244485 |
| sklearn.svm.classes.SVC(35)_verbose | false |
0.4698 ± 0.004 Per class Cross-validation details (10-fold Crossvalidation)
|
-0.0604 ± 0.0079 Cross-validation details (10-fold Crossvalidation)
|
-0.0023 ± 0.0075 Cross-validation details (10-fold Crossvalidation)
|
0.1753 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
|
0.1653 Cross-validation details (10-fold Crossvalidation)
|
5500 Per class Cross-validation details (10-fold Crossvalidation) |
0.036 ± 0.0072 Cross-validation details (10-fold Crossvalidation)
|
3.4594 Cross-validation details (10-fold Crossvalidation)
|
0.036 ± 0.0072 Per class Cross-validation details (10-fold Crossvalidation)
|
1.0604 ± 0.0079 Cross-validation details (10-fold Crossvalidation)
|
0.2875 Cross-validation details (10-fold Crossvalidation)
|
0.4187 ± 0.0016 Cross-validation details (10-fold Crossvalidation)
|
1.4563 ± 0.0055 Cross-validation details (10-fold Crossvalidation)
|