Metrics used to evaluate a regressor’s performance.
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.