Exam Preparation Quiz

Evaluate Dataset Bias From Confusion Matrix

Claire, the Model Fairness Auditor at MDFT Pro, is reviewing machine learning models used for student success prediction to ensure they provide equitable outcomes across different student populations. MDFT Pro, a well-known training agency, is committed to supporting all students effectively and wants to identify potential biases in their predictive models that could lead to unfair treatment or missed opportunities for student support. Claire is analyzing the confusion matrix from a model trained on historical student data to assess whether the training dataset reflects balanced representation or shows problematic patterns that could affect model reliability.

Based on the following confusion matrix showing actual versus predicted student success outcomes, does this dataset exhibit bias?

Does this confusion matrix indicate bias in the underlying dataset?

Choose the correct answer from the options below.