staccuracy-package: Standardized Accuracy and Other Model Performance Metrics

In staccuracy: Standardized Accuracy and Other Model Performance Metrics

Standardized Accuracy and Other Model Performance Metrics

Description

Standardized accuracy (staccuracy) is a framework for expressing accuracy scores such that 50% represents a reference level of performance and 100% is perfect prediction. The 'staccuracy' package provides tools for creating staccuracy functions as well as some recommended staccuracy measures. It also provides functions for some classic performance metrics such as mean absolute error (MAE), root mean squared error (RMSE), and area under the receiver operating characteristic curve (AUCROC), as well as their winsorized versions when applicable.

Author(s)

Chitu Okoli [e-mail]

See Also

Useful links:

• https://github.com/tripartio/staccuracy

• https://tripartio.github.io/staccuracy/

• Report bugs at https://github.com/tripartio/staccuracy/issues

staccuracy documentation built on April 3, 2025, 10:49 p.m.