A dog-park occupancy desk wants a fair call between two models. Which statistical comparisons does the syllabus name for A/B testing of ML systems?
Select an answer to reveal the explanation.
Short Explanation
The syllabus names t-test, z-test, chi-squared, and Mann–Whitney U for A/B testing of ML systems. Name them; do not compute a statistic. A single-run eyeball, a sample-size formula the candidate must compute, and treating A/B as Kolmogorov–Smirnov static drift testing miss those named comparisons.
Full Explanation
Popular A/B techniques for ML systems include t-test, z-test, chi-squared, and Mann–Whitney U. An eyeball winner, a formula the candidate computes, and treating A/B as static drift testing miss those named comparisons.