Boolean DataFrame incorrect shape

[enricorox]

Describe the bug
Passing boolean DataFrames gives Found array with 0 feature(s) and displays only the DummyClassifier.
There are no warnings about the data type, only incorrect shape.

To Reproduce
Execute the snippet

import numpy as np
import pandas as pd
from lazypredict.Supervised import LazyClassifier
from sklearn.model_selection import train_test_split

X = pd.DataFrame(np.random.choice([True, False], size=(10, 3)), columns=list('ABC'))
y = pd.DataFrame(np.random.choice([True, False], size=(10, 1)), columns=list('F'))

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.5, random_state=123)
clf = LazyClassifier(verbose=0, ignore_warnings=False, custom_metric=None)
models, predictions = clf.fit(X_train, X_test, y_train, y_test)
print(models)

Expected behavior
Correctly handle boolean DataFrames

Desktop (please complete the following information):

• OS: Ubuntu 22.04
• Version 0.2.12

Workaround
https://stackoverflow.com/questions/77357871/lazypredict-found-array-with-0-features