CompTIA DataX (DY0-001) — Question 4

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

Answer options

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

Correct answer: A

Explanation

AIC (Akaike Information Criterion) is specifically designed for model selection and evaluation, making it ideal for assessing nonlinear models. The Chi-squared test is used for categorical data analysis, MCC (Matthews correlation coefficient) is for binary classification, and ANOVA (Analysis of Variance) is used for comparing means across groups, none of which are suitable for evaluating model performance in this context.