The Simulation Scoring tool takes a sample from an approximation of a model object error distribution. Whereas standard scoring attempts to predict the mean predicted value, Simulation Scoring also considers the error distribution to provide a range of possible values.
This tool uses the R programming language. Go to Options > Download Predictive Tools to install R and the packages used by the R Tool.
Do not connect this input when the incoming model object uses a Linear Regression tool.
If you are scoring an LM model, the error distribution can be directly sampled due to the properties of LMs.
If you are scoring other models (non-LM), homoscedasticity of the error distributions with respect to the predictors is assumed. This allows a single error distribution to be calculated by scoring the model against a validation set. That error distribution is then sampled and added to the score results for the incoming data.
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