Which property in the replacement node controls the number of standard deviations?

The property in the replacement node that controls the number of standard deviations is indeed the Cutoff Value. This option specifies the limits beyond which observations are considered outliers in relation to the mean. By defining these cutoff values in terms of standard deviations, you can effectively manage which data points are flagged for replacement based on how far they deviate from the average.

For instance, if you set a cutoff of 2 standard deviations, any data point lying beyond this range would be considered significantly different from the norm and potentially subject to replacement. This allows analysts to maintain data integrity and accuracy by removing anomalies that could skew analysis results.

While other options like Bin, Inputs, and Threshold are relevant within the context of data processing, they do not serve the specific purpose of quantifying deviations in the manner that the Cutoff Value does. Binning is more about categorizing continuous variables, Inputs refer to the components of the model, and Threshold typically relates to classification decisions rather than controlling the standard deviations directly. Hence, Cutoff Value effectively serves as the mechanism for defining the boundary around standard deviations in the replacement node.