| ML.EVAL.REGRESSION.D2_ABSOLUTE_ERROR_SCORE |
Returns the D^2 regression score function, fraction of absolute error explained. |
| ML.EVAL.REGRESSION.D2_PINBALL_SCORE |
Returns the D^2 regression score function, fraction of pinball loss explained. |
| ML.EVAL.REGRESSION.D2_TWEEDIE_SCORE |
Returns the D^2 regression score function, fraction of Tweedie deviance explained. |
| ML.EVAL.REGRESSION.EXPLAINED_VARIANCE_SCORE |
Returns the explained variance regression score function. |
| ML.EVAL.REGRESSION.MAX_ERROR |
Returns the max error metric. |
| ML.EVAL.REGRESSION.MEAN_ABSOLUTE_ERROR |
Returns the mean absolute error regression loss. |
| ML.EVAL.REGRESSION.MEAN_ABSOLUTE_PERCENTAGE_ERROR |
Returns the mean absolute percentage error regression loss. |
| ML.EVAL.REGRESSION.MEAN_GAMMA_DEVIANCE |
Returns the mean Gamma deviance regression loss. |
| ML.EVAL.REGRESSION.MEAN_POISSON_DEVIANCE |
Returns the mean Poisson deviance regression loss. |
| ML.EVAL.REGRESSION.MEAN_SQUARED_ERROR |
Returns the mean squared error regression loss. |
| ML.EVAL.REGRESSION.MEAN_SQUARED_LOG_ERROR |
Returns the mean squared logarithmic error regression loss. |
| ML.EVAL.REGRESSION.MEDIAN_ABSOLUTE_ERROR |
Returns the median absolute error regression loss. |
| ML.EVAL.REGRESSION.R2_SCORE |
Returns the R^2 (coefficient of determination) regression score function. |
| ML.EVAL.REGRESSION.ROOT_MEAN_SQUARED_ERROR |
Returns the root mean squared error regression loss. |
| ML.EVAL.REGRESSION.ROOT_MEAN_SQUARED_LOG_ERROR |
Returns the root mean squared logarithmic error regression loss. |