| Issue | #Downvotes for this reason | By |
|---|
| sklearn.linear_model._ridge.RidgeClassifier(1) | Classifier using Ridge regression. This classifier first converts the target values into ``{-1, 1}`` and then treats the problem as a regression task (multi-output regression in the multiclass case). |
| sklearn.linear_model._ridge.RidgeClassifier(1)_alpha | 1.0 |
| sklearn.linear_model._ridge.RidgeClassifier(1)_class_weight | null |
| sklearn.linear_model._ridge.RidgeClassifier(1)_copy_X | true |
| sklearn.linear_model._ridge.RidgeClassifier(1)_fit_intercept | true |
| sklearn.linear_model._ridge.RidgeClassifier(1)_max_iter | null |
| sklearn.linear_model._ridge.RidgeClassifier(1)_normalize | false |
| sklearn.linear_model._ridge.RidgeClassifier(1)_random_state | 54503 |
| sklearn.linear_model._ridge.RidgeClassifier(1)_solver | "auto" |
| sklearn.linear_model._ridge.RidgeClassifier(1)_tol | 0.001 |
0.7695 ± 0.0037 Per class Cross-validation details (10-fold Crossvalidation)
|
0.521 ± 0.0073 Per class Cross-validation details (10-fold Crossvalidation)
|
0.5389 ± 0.0075 Cross-validation details (10-fold Crossvalidation)
|
0.5508 ± 0.0073 Cross-validation details (10-fold Crossvalidation)
|
0.0341 ± 0.0006 Cross-validation details (10-fold Crossvalidation)
|
0.074 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.5567 ± 0.0072 Cross-validation details (10-fold Crossvalidation)
|
20000 Per class Cross-validation details (10-fold Crossvalidation) |
0.5924 ± 0.0118 Per class Cross-validation details (10-fold Crossvalidation)
|
0.5567 ± 0.0072 Cross-validation details (10-fold Crossvalidation)
|
4.6998 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.461 ± 0.0075 Cross-validation details (10-fold Crossvalidation)
|
0.1923 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.1847 ± 0.0015 Cross-validation details (10-fold Crossvalidation)
|
0.9603 ± 0.0078 Cross-validation details (10-fold Crossvalidation)
|
0.5549 ± 0.0071 Cross-validation details (10-fold Crossvalidation)
|