Segmentation issue keeps crashing the kernel

[issue.csv](https://github.com/user-attachments/files/15572106/issue.csv)
The AutoMLSearch keeps crashing with the simple dataset. Running the code in terminal gives segmentation error. If run in Jupyter Notebook, the notebook crashes and gets restarted.

```python
import pandas as pd
import evalml

fm = pd.read_csv('issue.csv')
fm.ww.init()

fm.ww.describe()

y = fm.ww.pop('label')

automl = evalml.AutoMLSearch(
X_train=fm,
y_train=y,
problem_type='binary',
random_seed=3,
max_batches=5
)
automl.search()
```
The data doesn't have infinity or null values. In principle, it shouldn't crash the kernel even though it won't get an amazing model.