```py
X = train_encoded_df.iloc[:, 1: ]
y = train_encoded_df["Loan_Status"]

print("Precision:",metrics.precision_score(y_test, y_pred))

```

My training data contains the categorical features encoded using `get_dummies()`.

This is causing the error:

```
> ValueError: pos_label=1 is not a valid label: array(['N', 'Y'], dtype='U1')

```

How to fix this?