Imbalanced class metrics
Class imbalance is something that can hamper your model's performance in any machine learning context. This is especially relevant in a machine learning interview if you are asked what to do if you are given a dataset with an imbalanced class, as some data is imbalanced by design such as insurance fraud data.
In this exercise you'll use sklearn to create a logistic regression model and print the confusion matrix along with several evaluation metrics to get a better understanding of how to interpret Machine Learning models from datasets that have a class imbalance.
Recall the class imbalance you saw previously in loan_data. The number of observations with Loan Status of Fully Paid far outweighs those that are Charged Off:
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Practicing Machine Learning Interview Questions in Python
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# Import
from sklearn.____ import ____
from sklearn.____ import ____, ____, ____, ____, _____