DY0-001: CompTIA DataAIDemo

By CompTIA · Question Mode

QuestionQ113

Modeling, Analysis, and Outcomes

A data scientist has developed an image-recognition model that differentiates cars from trucks. The data scientist now wants to measure how often the model correctly classifies a car as a car, compared with how often it incorrectly classifies a truck as a car. Which of the following would best present this information?

  • A Confusion matrix
  • B AUC/ROC curve
  • C Box plot
  • D Correlation plot
Explanation

A confusion matrix shows predicted classes against actual classes. It directly identifies cars correctly predicted as cars (true positives) and trucks incorrectly predicted as cars (false positives), along with the other classification outcomes.

Community Discussion

No comments yet. Be the first to start the discussion!