Objective 4.3 Evaluate Models CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 2)

Questions 6–10

1. 6expert · hard

   A team is evaluating three models for a fraud detection system. Model X has precision 0.90 and recall 0.40. Model Y has precision 0.60 and recall 0.70. Model Z has precision 0.50 and recall 0.90. The business wants to minimize the number of fraudulent transactions that go undetected, but also wants to avoid overwhelming investigators with false positives. Which model is the best compromise?

   • AModel Z
   • BModel X
   • CModel Y
   • DNone of the models are suitable.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   Which metric is calculated as the number of true positives divided by the sum of true positives and false positives?

   • ARecall
   • BF1-score
   • CAccuracy
   • DPrecision
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   Which of the following best describes the role of an evaluation metric in model development?

   • AIt defines the algorithm used to train the model
   • BIt ensures the model is free from any bias
   • CIt automatically selects the best features for the model
   • DIt provides a basis for comparing the performance of different models
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   Which of the following is a common format for storing a trained machine learning model for operational use?

   • ACSV file
   • BPickle file (.pkl)
   • CJSON file
   • DHTML file
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   When selecting the best model, why should you consider multiple evaluation metrics rather than just accuracy?

   • ABecause different metrics capture different aspects of performance
   • BBecause accuracy is always the most important metric
   • CBecause multiple metrics are required by law
   • DBecause accuracy is difficult to calculate
   Reveal Solution Discussion Select an answer first