Specifies the method used to calculate the split score. The available methods are: Entropy (1), Bayesian with K2 Prior (3), or Bayesian Dirichlet Equivalent with Uniform prior (4).
Specifies the maximum number of states for a non-sequence attribute that the algorithm supports. If the number of states ...
Specifies the maximum number of states that a sequence can have. Setting this value to a number greater than 100 can result ...
Specifies the measure used to resolve a Multidimensional Expressions (MDX) expression if a measure is not explicitly referenced ...
Specifies the metadata cached for the linking object, as well as the behavior upon any changes to the underlying linked object. ...
Specifies the method used to calculate the split score. The available methods are: Entropy (1), Bayesian with K2 Prior (3), ...
Specifies the method used to discretize (group) the members of the attribute. The number of buckets created by discretizing ...
Specifies the method used to fill the gaps in historical data. By default, irregular gaps or ragged edges in data are not ...
Specifies the minimum dependency probability between input and output attributes. This value is used to limit the size of ...
Specifies the minimum number of cases that a leaf node must contain. Setting this value to less than 1 specifies the minimum ...