RandomForestClassifier outputs float instead of bool class-labels when fit on a pd.Series since 1.2.0

### Describe the bug

```
import numpy as np
import pandas as pd
import sklearn
from sklearn.ensemble import RandomForestClassifier

# 1.23.3 1.5.0 1.2.0
print(np.__version__, pd.__version__, sklearn.__version__)

x = np.random.random((20, 1))
y = x[:, 0] >= 0.3

x = pd.DataFrame(x)     # remove these and it works
y = pd.Series(y)    # remove these and it works

r = RandomForestClassifier()
r.fit(x, y)


yhat = r.predict(x)
assert np.issubdtype(yhat.dtype, np.bool_)  # fails since scikit 1.2.0
```


### Steps/Code to Reproduce

```
import numpy as np
import pandas as pd
import sklearn
from sklearn.ensemble import RandomForestClassifier

# 1.23.3 1.5.0 1.2.0
print(np.__version__, pd.__version__, sklearn.__version__)

x = np.random.random((20, 1))
y = x[:, 0] >= 0.3

x = pd.DataFrame(x)     # remove these and it works
y = pd.Series(y)    # remove these and it works

r = RandomForestClassifier()
r.fit(x, y)


yhat = r.predict(x)
print(yhat)
assert np.issubdtype(yhat.dtype, np.bool_)  # fails since scikit 1.2.0
```

### Expected Results

[True False False True ...]

### Actual Results

[1. 0. 0. 1. ...]
Traceback (most recent call last):
  File "/Users/XXX/PycharmProjects/flow/bla.py", line 21, in <module>
    assert np.issubdtype(yhat.dtype, np.bool_)
AssertionError

### Versions

```shell
System:
    python: 3.9.13 (main, Sep 21 2022, 15:17:17)  [Clang 13.0.0 (clang-1300.0.29.30)]
executable: /Users/niklas.fruehauf/.pyenv/versions/flow-venv-3.9/bin/python
   machine: macOS-12.6.1-x86_64-i386-64bit

Python dependencies:
      sklearn: 1.2.0
          pip: 22.3.1
   setuptools: 59.8.0
        numpy: 1.23.3
        scipy: 1.8.1
       Cython: 0.29.32
       pandas: 1.5.0
   matplotlib: 3.5.3
       joblib: 1.2.0
threadpoolctl: 3.1.0

Built with OpenMP: True

threadpoolctl info:
       user_api: blas
   internal_api: openblas
         prefix: libopenblas
       filepath: /Users/niklas.fruehauf/.pyenv/versions/3.9.13/envs/flow-venv-3.9/lib/python3.9/site-packages/numpy/.dylibs/libopenblas64_.0.dylib
        version: 0.3.20
threading_layer: pthreads
   architecture: Haswell
    num_threads: 6

       user_api: openmp
   internal_api: openmp
         prefix: libomp
       filepath: /Users/niklas.fruehauf/.pyenv/versions/3.9.13/envs/flow-venv-3.9/lib/python3.9/site-packages/sklearn/.dylibs/libomp.dylib
        version: None
    num_threads: 12

       user_api: blas
   internal_api: openblas
         prefix: libopenblas
       filepath: /Users/niklas.fruehauf/.pyenv/versions/3.9.13/envs/flow-venv-3.9/lib/python3.9/site-packages/scipy/.dylibs/libopenblas.0.dylib
        version: 0.3.17
threading_layer: pthreads
   architecture: Haswell
    num_threads: 6
```

COMMENT:
Hi 👋  and thanks for reporting this!

On `main` I can not reproduce this (anymore). There was a similar bug related to `pd.Series` handling that was fixed a few days ago. I think that fix might have also fixed this issue. Could you try out the [scikit-learn nightly build](https://scikit-learn.org/dev/developers/advanced_installation.html#installing-nightly-builds) to see if that fixes the problem for you as well?

Labels: Bug, Needs Triage