Metrics used to evaluate a regressor’s performance.
To understand how your regressor can be expected to perform, you start by looking at its maximumError. This is a high-level metric indicates your model's worst case performance. To get an idea for how your model will perform on average, look at the rootMeanSquaredError. In both cases, you want to minimize the value and therefore the error.
Metrics used to evaluate a classifier’s performance.
This documentation contains preliminary information about an API or technology in development. This information is subject to change, and software implemented according to this documentation should be tested with final operating system software.