Glossary

A (7) | B (2) | C (29) | D (13) | E (8) | F (6) | G (3) | H (10) | I (6) | J (1) | K (4) | L (3) | M (18) | N (4) | O (3) | P (15) | Q (5) | R (9) | S (14) | T (6) | U (3) | V (5) | W (1)

Underfitting

Underfitting is when a data model is unable to capture the relationship between the input and output variables accurately, generating a high error rate on both the training set and unseen data. Underfitting occurs when a model is too simple, which can be a result of a model needing more training time, more input features, or less regularization. IBM. (2021). What is underfitting? Retrieved November 1, 2023, from https://www.ibm.com/cloud/learn/underfitting


Unpaired t-test

An unpaired t-test is a statistical test comparing the averages/means of two independent or unrelated groups to determine if there is a significant difference between the two. Gleichmann, N. (2023, October 14). Paired vs unpaired T-test: Differences, assumptions and hypotheses. Technology Networks Informatics. Retrieved November 16, 2023, from https://www.technologynetworks.com/informatics/articles/paired-vs-unpaired-t-test-differences-assumptions-and-hypotheses-330826


Usability and Use

Usability and Use is the extent to which interested parties (e.g., individuals, purchasers, measured entities, and policymakers) are using or could use performance results for accountability and/or performance improvement to achieve the goal of high-quality, efficient health care for individuals or populations.