CAP CAP Methodology Selection & Analytics Problem Framing 2

Question 1

Which evaluation metric is MOST appropriate for a highly imbalanced binary classification problem?

Accepted Answer

Area Under the ROC Curve (AUC-ROC)

Answer

AUC-ROC evaluates discrimination ability across all thresholds and is robust to class imbalance, unlike accuracy.

Question 2

A CAP analyst must choose between a linear regression model and a decision tree for a continuous outcome. The BEST reason to prefer linear regression is:

Accepted Answer

It provides easily interpretable coefficients for stakeholders

Answer

Linear regression coefficients have clear directional interpretations, making results more communicable to non-technical stakeholders.

Question 3

Cross-validation is used during methodology selection primarily to:

Accepted Answer

Estimate model performance on unseen data

Answer

Cross-validation provides an unbiased estimate of how well the model will generalize by repeatedly testing on held-out data folds.

Question 4

When an analytics problem involves predicting the number of events in a fixed time interval, which model family is MOST appropriate?

Accepted Answer

Poisson regression

Answer

Poisson regression is designed for count outcomes representing events in a fixed time or space interval.

Question 5

Which concept describes selecting the simplest model that adequately explains the data?

Accepted Answer

Parsimony

Answer

Parsimony (Occam's Razor) favors simpler models to avoid overfitting and improve generalizability.

(CAP) Certified Analytics Professional Practice Test

(CAP) Certified Analytics Professional Practice Test

CAP CAP Methodology Selection & Analytics Problem Framing 2