ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (6, 33810) + inhomogeneous part.

Hello Scikit-learn team,

I am encountering an issue while running inference VotingClassifier model with `voting="hard"` argument, I found that this issue may related to [NEP 34](https://numpy.org/neps/nep-0034-infer-dtype-is-object.html) restriction of `dtype=object` in numpy and the solution is downgrading to numpy `1.23.1`. However, it doesn't work in my case due to dependency conflicts with pandas and other packages. I'd appreciate if you could analyze this issue and provide an update when possible.

```
Traceback (most recent call last):
  File "/home/mtoan65/Documents/Sentiment_Analysis/training.py", line 135, in <module>
    ensemble_model, trained_models, model_results, ensemble_results = main(sparse=False)
                                                                      ^^^^^^^^^^^^^^^^^^
  File "/home/mtoan65/Documents/Sentiment_Analysis/training.py", line 127, in main
    trained_ensemble, ensemble_results = train_ensemble_model(
                                         ^^^^^^^^^^^^^^^^^^^^^
  File "/home/mtoan65/Documents/Sentiment_Analysis/training.py", line 89, in train_ensemble_model
    ensemble_results, trained_ensemble = train_and_evaluate_ensemble(voting_clf, X_train, X_test, y_train, y_test)
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mtoan65/Documents/Sentiment_Analysis/training/ensemble_trainer.py", line 33, in train_and_evaluate_ensemble
    y_pred_ensemble = voting_clf.predict(X_test)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mtoan65/Documents/Sentiment_Analysis/.venv/lib/python3.11/site-packages/sklearn/ensemble/_voting.py", line 443, in predict
    predictions = self._predict(X)
                  ^^^^^^^^^^^^^^^^
  File "/home/mtoan65/Documents/Sentiment_Analysis/.venv/lib/python3.11/site-packages/sklearn/ensemble/_voting.py", line 80, in _predict
    return np.asarray([est.predict(X) for est in self.estimators_]).T
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (6, 33810) + inhomogeneous part.
```

### Steps/Code to Reproduce

```
try:
  main_logger.info("Training ensemble")
  voting_clf.fit(X_train, y_train)
  
  main_logger.info("Evaluating ensemble")
  y_pred_ensemble = voting_clf.predict(X_test)
  results = classification_report(y_test, y_pred_ensemble, output_dict=True)
  main_logger.info(f"Ensemble Results:\n{classification_report(y_test, y_pred_ensemble)}")
  
  return results, voting_clf

except Exception as e:
    main_logger.error(f"Error in ensemble training: {str(e)}")
    raise
```

### Expected Results

```Finish training```

### Actual Results

```
Traceback (most recent call last):
  File "/home/mtoan65/Documents/Sentiment_Analysis/training.py", line 135, in <module>
    ensemble_model, trained_models, model_results, ensemble_results = main(sparse=False)
                                                                      ^^^^^^^^^^^^^^^^^^
  File "/home/mtoan65/Documents/Sentiment_Analysis/training.py", line 127, in main
    trained_ensemble, ensemble_results = train_ensemble_model(
                                         ^^^^^^^^^^^^^^^^^^^^^
  File "/home/mtoan65/Documents/Sentiment_Analysis/training.py", line 89, in train_ensemble_model
    ensemble_results, trained_ensemble = train_and_evaluate_ensemble(voting_clf, X_train, X_test, y_train, y_test)
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mtoan65/Documents/Sentiment_Analysis/training/ensemble_trainer.py", line 33, in train_and_evaluate_ensemble
    y_pred_ensemble = voting_clf.predict(X_test)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mtoan65/Documents/Sentiment_Analysis/.venv/lib/python3.11/site-packages/sklearn/ensemble/_voting.py", line 443, in predict
    predictions = self._predict(X)
                  ^^^^^^^^^^^^^^^^
  File "/home/mtoan65/Documents/Sentiment_Analysis/.venv/lib/python3.11/site-packages/sklearn/ensemble/_voting.py", line 80, in _predict
    return np.asarray([est.predict(X) for est in self.estimators_]).T
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (6, 33810) + inhomogeneous part.
```

### Versions

```shell
1.5.2
```

COMMENT:
Hi @mtoan65. Sorry, but we cannot help you with such a user-specific report. To help you, we need a minimal reproducer.

Please follow these guidelines until the end: https://scikit-learn.org/stable/developers/minimal_reproducer.html

By the way, the solution to a problem is never downgrading to an older numpy release but instead to adapt the code to follow the best practice documented in the latest version. Otherwise your code will no longer work once the old numpy release is no longer supported.

Labels: Bug, Needs Info