Apply Functions Parameters

The Apply Function parameters that can be specified:

• Cluster ID: The default is Most Probable. No other parameters are supported.

• Cluster Probability: The default is Most Probable.
  You can also select a specific cluster ID or specify NULL or Most Likely to return the bounds for the most likely cluster.

• Cluster Set: The default is All Clusters.
  You can also specify either or both of the following:

  • TopN: Where N is between one and the number of clusters. The optional TopN argument is a positive integer that restricts the set of features to those that have one of the top N values. If there is a tie at the Nth value, then the database still returns only N values. If you omit this argument, then the function returns all features.

  • Probability Cutoff: It is a number strictly greater than zero and less than or equal to 1. The optional cutoff argument restricts the returned features to only those that have a feature value greater than or equal to the specified cutoff. To filter only by cutoff, specify Null for TopN and the desired cutoff for cutoff.

• Feature ID: The default is Most Probable. No other values are supported.

• Feature Set: The default is All Feature IDs. You can also specify either or both of the following:

  • TopN: Where N is between 1 and the number of clusters. The optional TopN argument is a positive integer that restricts the set of features to those that have one of the top N values. If there is a tie at the Nth value, then the database still returns only N values. If you omit this argument, then the function returns all features.

  • Probability Cutoff: It is a number strictly greater than zero and less than or equal to one. The optional cutoff argument restricts the returned features to only those that have a feature value greater than or equal to the specified cutoff. To filter only by cutoff, specify Null for TopN and the desired cutoff.

• Feature Value: The default is Highest Value.
  You can also select a specific feature ID value or specify anyone of the following value to return the bounds for the most likely feature:

  • NULL

  • Most Likely

• Prediction: The default is Best Prediction to consider the cost matrix.

• Prediction Upper Bounds or Prediction Lower Bounds: The default is Best Prediction with Confidence Level 95%.
  You can change Confidence Level to any number strictly greater than zero and less than or equal to one. For Classification models only, you can use the Target Value Selection dialog box option to pick a specific target value. You can also specify Null or Most Likely to return the bounds for the most likely target value.

• Prediction Costs: The default is Best Prediction.
  Applicable for Classification models only. You can use the Target Value Selection option to pick a specific target value.

• Prediction Details: Only value is the details for the Best Prediction.

• Prediction Probability: The default is Best Prediction.
  Applicable for Classification models only. You can use the Target Value Selection option to pick a specific target value.

• Prediction Set: The default is All Target Values.
  You can also specify one or both of the following:

  • bestN: Where N is between one and the number of targets. The optional bestN argument is a positive integer that restricts the returned target classes to the N having the highest probability, or lowest cost if cost matrix clause is specified. If multiple classes are tied in the Nth value, then the database still returns only N values.
    To filter only by cutoff, specify Null for this parameter.

  • Probability Cutoff: Is a number strictly greater than zero and less than or equal to one. The optional cutoff argument restricts the returned target classes to those with a probability greater than or equal to (or a cost less than or equal to if cost matrix clause is specified) the specified cutoff value.
    You can filter solely by cutoff by specifying Null for this value.