BaggingClassifier throws ValueError: WRITEBACKIFCOPY base is read-only

### Describe the bug

When I use the bagging-classifier in conjunction with LinearSVC it throws `ValueError: WRITEBACKIFCOPY base is read-only` when `n_jobs!=1`.

Changing `n_jobs` to 1 removes the error 

### Steps/Code to Reproduce

The issue is that I cannot reproduce this error with e.g iris-data but I can't share the dataset since it's company-classified.

My code is as following:

```python

  max_samples_pr_model = 50_000
  n_models = X_train.shape[0] // max_samples_pr_model # 36
  dual = max_samples_pr_model <= X_train.shape[1]  # True

  model_instance = LinearSVC(
      max_iter=5_000,
      dual=dual,
      C=1.0,
      class_weight="balanced")

  model = BaggingClassifier(
      random_state=42,
      n_jobs=-1, # Setting as "1" seems to remove the error
      n_estimators=n_models,
      max_samples=max_samples_pr_model,
      max_features=1.0,
      estimator=model_instance

  )

    model.fit(X_train, y_train)
```





### Expected Results

No error is thrown and it works

### Actual Results

The error `ValueError: WRITEBACKIFCOPY` is thrown with the following stack-trace


```
joblib.externals.loky.process_executor._RemoteTraceback: 
"""
Traceback (most recent call last):
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\joblib\externals\loky\process_executor.py", line 428, in _process_worker
    r = call_item()
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\joblib\externals\loky\process_executor.py", line 275, in __call__
    return self.fn(*self.args, **self.kwargs)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\joblib\_parallel_backends.py", line 620, in __call__
    return self.func(*args, **kwargs)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\joblib\parallel.py", line 288, in __call__
    return [func(*args, **kwargs)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\joblib\parallel.py", line 288, in <listcomp>
    return [func(*args, **kwargs)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\sklearn\utils\parallel.py", line 123, in __call__
    return self.function(*args, **kwargs)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\sklearn\ensemble\_bagging.py", line 141, in _parallel_build_estimators
    estimator_fit(X_, y, sample_weight=curr_sample_weight)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\sklearn\svm\_classes.py", line 263, in fit
    X, y = self._validate_data(
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\sklearn\base.py", line 565, in _validate_data
    X, y = check_X_y(X, y, **check_params)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\sklearn\utils\validation.py", line 1106, in check_X_y
    X = check_array(
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\sklearn\utils\validation.py", line 845, in check_array
    array = _ensure_sparse_format(
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\sklearn\utils\validation.py", line 549, in _ensure_sparse_format
    spmatrix = spmatrix.astype(dtype)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\scipy\sparse\_data.py", line 72, in astype
    self._deduped_data().astype(dtype, casting=casting, copy=copy),
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\scipy\sparse\_data.py", line 32, in _deduped_data
    self.sum_duplicates()
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\scipy\sparse\_compressed.py", line 1118, in sum_duplicates
    self.sort_indices()
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\scipy\sparse\_compressed.py", line 1164, in sort_indices
    _sparsetools.csr_sort_indices(len(self.indptr) - 1, self.indptr,
ValueError: WRITEBACKIFCOPY base is read-only
"""


The above exception was the direct cause of the following exception:
Traceback (most recent call last):
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\IPython\core\interactiveshell.py", line 3460, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-14-e5fe18752d98>", line 17, in <module>
    model.fit(X_train, y_train)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\sklearn\ensemble\_bagging.py", line 337, in fit
    return self._fit(X, y, self.max_samples, sample_weight=sample_weight)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\sklearn\ensemble\_bagging.py", line 472, in _fit
    all_results = Parallel(
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\sklearn\utils\parallel.py", line 63, in __call__
    return super().__call__(iterable_with_config)
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\joblib\parallel.py", line 1098, in __call__
    self.retrieve()
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\joblib\parallel.py", line 975, in retrieve
    self._output.extend(job.get(timeout=self.timeout))
  File "C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\lib\site-packages\joblib\_parallel_backends.py", line 567, in wrap_future_result
    return future.result(timeout=timeout)
  File "C:\Users\my_user\AppData\Local\Programs\Python\Python310\lib\concurrent\futures\_base.py", line 445, in result
    return self.__get_result()
  File "C:\Users\my_user\AppData\Local\Programs\Python\Python310\lib\concurrent\futures\_base.py", line 390, in __get_result
    raise self._exception
ValueError: WRITEBACKIFCOPY base is read-only
```


### Versions

```shell
System:
    python: 3.10.0 (tags/v3.10.0:b494f59, Oct  4 2021, 19:00:18) [MSC v.1929 64 bit (AMD64)]
executable: C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\Scripts\python.exe
   machine: Windows-10-10.0.22621-SP0
Python dependencies:
      sklearn: 1.2.1
          pip: 22.3.1
   setuptools: 67.5.1
        numpy: 1.24.2
        scipy: 1.10.1
       Cython: 0.29.33
       pandas: 1.5.3
   matplotlib: 3.7.1
       joblib: 1.2.0
threadpoolctl: 3.1.0
Built with OpenMP: True
threadpoolctl info:
       user_api: blas
   internal_api: openblas
         prefix: libopenblas
       filepath: C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\Lib\site-packages\numpy\.libs\libopenblas64__v0.3.21-gcc_10_3_0.dll
        version: 0.3.21
threading_layer: pthreads
   architecture: SkylakeX
    num_threads: 16
       user_api: openmp
   internal_api: openmp
         prefix: vcomp
       filepath: C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\Lib\site-packages\sklearn\.libs\vcomp140.dll
        version: None
    num_threads: 16
       user_api: blas
   internal_api: openblas
         prefix: libopenblas
       filepath: C:\Users\my_user\AppData\Local\pypoetry\Cache\virtualenvs\transtotag-6uueIOAW-py3.10\Lib\site-packages\scipy.libs\libopenblas-802f9ed1179cb9c9b03d67ff79f48187.dll
        version: 0.3.18
threading_layer: pthreads
   architecture: Prescott
    num_threads: 16
```

COMMENT:
You can update the version or you can use StackingClassifier instead of using BaggingClassifier 
model_instance = LinearSVC(
      max_iter=5_000,
      dual=dual,
      C=1.0,
      class_weight="balanced")

from sklearn.ensemble import StackingClassifier

  model = StackingClassifier(
      random_state=42,
      n_jobs=-1, # Setting as "1" seems to remove the error
      n_estimators=n_models,
      max_samples=max_samples_pr_model,
      max_features=1.0,
      estimator=model_instance

  )

Labels: Bug