Errata

Errata for Reliable Machine Learning

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The errata list is a list of errors and their corrections that were found after the product was released.

The following errata were submitted by our customers and have not yet been approved or disproved by the author or editor. They solely represent the opinion of the customer.

Color Key: Serious technical mistake Minor technical mistake Language or formatting error Typo Question Note Update

Version	Location	Description	Submitted by	Date submitted
Printed	Page 204 Concrete recommendation (2nd section)	Definitions of Precision and Recall seem incorrect. Or at least confusing/inconsistent terminology in usage of terms "Predicted" and "True". The definition given for Precision is: True Positives / Total Positives Should be: True Positives / Predicted Positives Equivalently: True Positives / (True Positives + False Positives) The definition given for Recall is: Predicted Positives / Total Positives Should be: True Positives / Total Positives Equivalently: True Positives / (True Positives + False Negatives) See en.wikipedia.org/wiki/Precision_and_recall, or "Designing Machine Learning Systems", Chip Huyen, O'Reilly 2022	Marcus Ulmefors	Dec 10, 2023