Decision Tree VAL

The Gain Ratio Extreme Decision Tree function performs decision tree modeling and returns a teradataml DataFrame containing one row with two columns.

Options

Algorithm: Specifies the name of the algorithm that the decision tree uses during building.
Binning: Specifies whether to perform binning on the continuous independent variables automatically.
Input Columns: Specifies the name(s) of the column(s) to be used in decision tree building
Maximum Depth: Specifies the maximum number of levels the tree can grow.
Number Of Splits: Specifies how far the decision tree can be split.
Pruning: Specifies the style of pruning to use after the tree is fully built.
Response Columns: Specifies the name of a column whose values are being predicted.
Output Schema: Output Schema, if Volatile is true then use user login as the schema.
Output Table: Output Table
VAL Location: VAL Location