Machine Learning, Data Science, Python, Statistics, Evaluation Metric.
on the given features. True Negatives (TN): True negatives are instances where the model correctly predicted the negative class. In a credit approval model, this could be cases where the model correctly predicts that an applicant is not a credit risk. Example: In an email spam classifier, a true