BUG: is_numeric_dtype return bool as TRUE

#### Code Sample, 

```
from pandas.api.types import is_integer_dtype, is_numeric_dtype, is_string_dtype, is_bool_dtype
import numpy as np
is_numeric_dtype(bool)
# True

is_numeric_dtype(np.bool)
# True
```

#### Problem description

is_numeric_dtype is returning true for boolean values

source code below
https://github.com/pandas-dev/pandas/blob/v1.1.5/pandas/core/dtypes/common.py#L1223-L1262

```
def is_numeric_dtype(arr_or_dtype) -> bool:
    """
    Check whether the provided array or dtype is of a numeric dtype.
    Parameters
    ----------
    arr_or_dtype : array-like
        The array or dtype to check.
    Returns
    -------
    boolean
        Whether or not the array or dtype is of a numeric dtype.
    Examples
    --------
    >>> is_numeric_dtype(str)
    False
    >>> is_numeric_dtype(int)
    True
    >>> is_numeric_dtype(float)
    True
    >>> is_numeric_dtype(np.uint64)
    True
    >>> is_numeric_dtype(np.datetime64)
    False
    >>> is_numeric_dtype(np.timedelta64)
    False
    >>> is_numeric_dtype(np.array(['a', 'b']))
    False
    >>> is_numeric_dtype(pd.Series([1, 2]))
    True
    >>> is_numeric_dtype(pd.Index([1, 2.]))
    True
    >>> is_numeric_dtype(np.array([], dtype=np.timedelta64))
    False
    """
    return _is_dtype_type(
        arr_or_dtype, classes_and_not_datetimelike(np.number, np.bool_)
    )
```

#### Expected Output
is_numeric_dtype(np.bool)
# False

#### 

<details>
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.5.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.2.9-98_fbk11_hardened_3627_g39307fe48d19
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : 
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.0.4
numpy            : 1.19.2
pytz             : 2020.1
dateutil         : 2.8.1
pip              : None
setuptools       : 46.1.0
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.5.0
html5lib         : 1.1
pymysql          : None
psycopg2         : None
jinja2           : 2.10.3
IPython          : 7.8.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.5.0
matplotlib       : 3.1.2
numexpr          : None
odfpy            : None
openpyxl         : 3.0.3
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : None
pyxlsb           : None
s3fs             : None
scipy            : 1.5.0
sqlalchemy       : 1.2.14
tables           : None
tabulate         : 0.8.6
xarray           : None
xlrd             : 1.2.0
xlwt             : None
xlsxwriter       : None
numba            : None
</details>
