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