DOC Fix some typos in doc of RandomizedSearchCV and GridSearchCV (scikit-learn#30341)

Author: yuanx749

sklearn/model_selection/_search.py

@@ -1254,7 +1254,7 @@ class GridSearchCV(BaseSearchCV):
         - a list or tuple of unique strings;
         - a callable returning a dictionary where the keys are the metric
           names and the values are the metric scores;
-        - a dictionary with metric names as keys and callables a values.
+        - a dictionary with metric names as keys and callables as values.
 
         See :ref:`multimetric_grid_search` for an example.
 
@@ -1630,7 +1630,7 @@ class RandomizedSearchCV(BaseSearchCV):
         - a list or tuple of unique strings;
         - a callable returning a dictionary where the keys are the metric
           names and the values are the metric scores;
-        - a dictionary with metric names as keys and callables a values.
+        - a dictionary with metric names as keys and callables as values.
 
         See :ref:`multimetric_grid_search` for an example.
 
@@ -1655,7 +1655,7 @@ class RandomizedSearchCV(BaseSearchCV):
 
         Where there are considerations other than maximum score in
         choosing a best estimator, ``refit`` can be set to a function which
-        returns the selected ``best_index_`` given the ``cv_results``. In that
+        returns the selected ``best_index_`` given the ``cv_results_``. In that
         case, the ``best_estimator_`` and ``best_params_`` will be set
         according to the returned ``best_index_`` while the ``best_score_``
         attribute will not be available.