Contents

MLRegressorMetrics

Metrics you use to evaluate a regressor’s performance.

Declaration

struct MLRegressorMetrics

Mentioned in

Overview

To understand what performance you can expect from the regressor, you start by looking at its maximumError. This high-level metric indicates your model’s worst-case performance. To get a sense for how your model performs on average, look at the rootMeanSquaredError. In both cases, you want to minimize the value and therefore the error.

Topics

Understanding the model

Handling errors

Creating metrics

Describing metrics

Default Implementations

See Also

Model accuracy