Class RegressionEvaluationMetrics (2.3.0)

RegressionEvaluationMetrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metrics for regression problems.

Attributes

Name	Description
`root_mean_squared_error`	`float` Output only. Root Mean Squared Error (RMSE).
`mean_absolute_error`	`float` Output only. Mean Absolute Error (MAE).
`mean_absolute_percentage_error`	`float` Output only. Mean absolute percentage error. Only set if all ground truth values are are positive.
`r_squared`	`float` Output only. R squared.
`root_mean_squared_log_error`	`float` Output only. Root mean squared log error.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2024-11-19 UTC.