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Checklist USA-NA-AIO 2026 Round 1 · Task 1

Machine Learning Concepts (Multiple Choice)

Answer five multiple-choice questions on machine-learning fundamentals.

  • Multiple-choice theory

The task

Problem 1 (50 points) consists of five multiple-choice parts of 10 points each: identifying an unsupervised-learning task; comparing the sparsity of l1- and l2-regularised linear regression; the behaviour of bias and variance as model complexity grows; when the F1 score is preferred over accuracy; and a property of UMAP.

Abridged by SOTA from the official materials. The official statement has the exact rules, and it wins wherever this summary differs.

At a glance

You submit
One option (A–E) per part.
Format
2026 USA-NA-AIO Round 1, 30 January 2026 (date printed on the problem set). Individual, proctored.

Details

Year
2026, Proctored at schools or authorised test sites
Round
Round 1 · Task 1
Language
English
License
Not stated by the source