Screen Link:
Mission Calculating Error Metrices
My Code:
import pandas as pd
from sklearn.metrics import confusion_matrix
tn, fp, fn, tp = confusion_matrix(loans["loan_status"], predictions ).ravel()
Used scikit approach using confusion matrix as an alternative SOlution