Model Evaluation Flashcard

Model Evaluation Flashcard

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Hard

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Wayground Content

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11 questions

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1.

FLASHCARD QUESTION

Front

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?

Back

Recall

2.

FLASHCARD QUESTION

Front

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?

Back

Precision

3.

FLASHCARD QUESTION

Front

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?

Back

Precision

4.

FLASHCARD QUESTION

Front

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

Back

Recall

5.

FLASHCARD QUESTION

Front

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?

Back

Accuracy

6.

FLASHCARD QUESTION

Front

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?

Back

F1-score

7.

FLASHCARD QUESTION

Front

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?

Back

F1-score

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