prediction.output: Predictions and predictive accuracy estimates
In RTIInternational/mobForest: Model Based Random Forest Analysis

Description Usage Arguments Value See Also

This function takes predictions and predictive accuracy estimates as input arguments and creates objects of class prediction.output.

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prediction.output(pred_mean = numeric(), pred_sd = numeric(),
  residual = numeric(), R2_or_acc = numeric(), mse = numeric(),
  overall_r2_or_acc = numeric(), pred_type = character())

`pred_mean`	Mean predictions across trees.
`pred_sd`	Standard deviation predictions across trees.
`residual`	Residuals (predicted outcome - observed outcome).
`R2_or_acc`	R2 or accuracy (for binomial) across trees
`mse`	MSE across trees
`overall_r2_or_acc`	Overall R2 or accuracy (for binomial)
`pred_type`	Out-of-bag data or test data or learning data.