Model Evaluation Quiz

A medical diagnostic model is designed to identify patients with a rare disease. Which metric is most important to ensure that no true cases are missed?

• a) Accuracy
• b) Precision
• c) Recall
• d) F1-score

A spam email filter aims to minimize the number of legitimate emails that are incorrectly flagged as spam. Which metric is most relevant to this goal?

• a) Accuracy
• b) Precision
• c) Recall
• d) F1-score

A recommendation system suggests products to users based on their past purchases. Which metric is most important to ensure that the recommendations are highly relevant to the user's interests?

• a) Accuracy
• b) Precision
• c) Recall
• d) F1-score

A fraud detection system flags suspicious transactions. Which metric is most important to ensure that all fraudulent transactions are identified?

• a) Accuracy
• b) Precision
• c) Recall
• d) F1-score

A search engine aims to return the most relevant results for a given query. Which metric is most important to ensure that the top results are accurate and relevant?

• a) Accuracy
• b) Precision
• c) Recall
• d) F1-score

A machine learning model is used to classify images of cats and dogs. Which metric is most important to ensure that the model is good at identifying both cats and dogs accurately?

• a) Accuracy
• b) Precision
• c) Recall
• d) F1-score

A machine learning model is used to classify images of cats and dogs. Which metric is most important to ensure that the model is good at identifying both cats and dogs accurately?

• a) Accuracy
• b) Precision
• c) Recall
• d) F1-score

A chatbot is designed to answer customer queries. Which metric is most important to ensure that the chatbot provides accurate and relevant information?

• a) Accuracy
• b) Precision
• c) Recall
• d) F1-score

A facial recognition system is used to unlock smartphones. Which metric is most important to ensure that the system is secure and only unlocks for the correct user?

• a) Accuracy
• b) Precision
• c) Recall
• d) F1-score

A system aims to identify hate speech in social media posts. Which metric is most important to ensure that all hate speech is detected while minimizing false positives?

• a) Accuracy
• b) Precision
• c) Recall
• d) F1-score