| Interface | Description |
|---|---|
| RegressionScore |
This interface defines the contract for evaluating or "scoring" the results
on a regression problem.
|
| Class | Description |
|---|---|
| CoefficientOfDetermination |
Uses the Coefficient of Determination, also known as R2, is an
evaluation score in [0,1].
|
| MeanAbsoluteError |
Uses the Mean of Absolute Errors between the predictions and the true values.
|
| MeanSquaredError |
Uses the Mean of the Squared Errors between the predictions and the true
values.
|
| RelativeAbsoluteError |
Uses the Sum of Absolute Errors divided by the sum of the absolute value of
the true values subtracted from their mean.
|
| RelativeSquaredError |
Uses the Sum of Squared Errors divided by the sum of the squared true values
subtracted from their mean.
|
| TotalHistoryRegressionScore |
This abstract class provides the work for maintaining the history of
predictions and their true values.
|
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