5.4.5 - Decision Tree Reports - Teradata Warehouse Miner

Teradata Warehouse Miner User Guide - Volume 3Analytic Functions

Product
Teradata Warehouse Miner
Release Number
5.4.5
Published
February 2018
Language
English (United States)
Last Update
2018-05-04
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  • Total observations — This is the number of observations in the training data set used to build the tree. More precisely, this is the number of rows in the input table after any rows have been excluded for containing a null value in a column selected as an independent or dependent variable.
  • Nodes before pruning — This is the number of nodes in the tree, including the root node, before it is pruned back in the second stage of the tree-building process.
  • Nodes after pruning — This is the number of nodes in the tree, including the root node, after it is pruned back in the second stage of the tree-building process.
  • Total nodes — This is the number of nodes in the tree, including the root node, when either pruning is not requested or does not remove any nodes.
  • Model Accuracy — This is the percentage of observations in the training data set that the tree accurately predicts the value of the dependent variable for.