| Class | Description |
|---|---|
| RegressionEvaluation |
Evaluation method for the evaluation of regression algorithms.
Provides the following metrics, for each column: - MSE: mean squared error - MAE: mean absolute error - RMSE: root mean squared error - RSE: relative squared error - PC: pearson correlation coefficient - R^2: coefficient of determination See for example: http://www.saedsayad.com/model_evaluation_r.htm For classification, see Evaluation |
| Enum | Description |
|---|---|
| RegressionEvaluation.Metric |
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