A data scientist wants to evaluate the performance of various nonlinear models. Which of the following is best suited for this task?

• A.AIC
• B.Chi-squared test
• C.MCC
• D.ANOVA

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A data scientist has built an image recognition model that distinguishes cars from trucks. The data scientist now wants to measure the rate at which the model correctly identifies a car as a car versus when it misidentifies a truck as a car. Which of the following would best convey this information?

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

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Which of the following best describes the minimization of the residual term in a ridge linear regression?

• A.|e|
• B.e
• C.e²
• D.0

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A data analyst wants to use compression on an analyzed data set and send it to a new destination for further processing. Which of the following issues will most likely occur?

• A.Library dependency will be missing.
• B.Server CPU usage will be too high.
• C.Operating system support will be missing.
• D.Server memory usage will be too high.

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A data scientist built several models that perform about the same but vary in the number of features. Which of the following models should the data scientist recommend for production according to Occam's razor?

• A.The model with the fewest features and highest performance
• B.The model with the fewest features and the lowest performance
• C.The model with the most features and the lowest performance
• D.The model with the most features and the highest performance

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