How do data analysts use confusion matrices?
A)To predict a non-binary outcome.
B)To predict a binary outcome.
C)To understand a model's prediction results.
D)To audit artificial intelligence.

Question

Quizplus · Accepted Answer

Confusion matrices are used by data analysts to understand the prediction results of a model, particularly in binary classification problems where there are two possible outcomes (e.g. yes or no, true or false). The matrix shows the number of true positives, true negatives, false positives, and false negatives, allowing analysts to evaluate the model's precision, recall, accuracy, and other metrics. It can help them identify patterns and potential biases in the model, and make improvements or adjustments as needed.

How Do Data Analysts Use Confusion Matrices