DecisionTreePredict_MLE Output - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
9.02
9.01
2.0
1.3
Published
February 2022
Language
English (United States)
Last Update
2022-02-10
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B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢

Output Table Schema

Column Data Type Description
id_column Any Data point identifier from AttributeTable (DecisionTree InputTable).
pred_label VARCHAR Predicted response value for data point.
prob DOUBLE PRECISION [Column appears only with OutputProb ('true') and without Responses syntax element.] Probability that observation belongs to class pred_label, which depends on value of DecisionTree syntax element ResponseProbDistType used to create model:
ResponseProbDistType Probability Formula
'laplace' (TP + 1) / (TP + FP + C)
'frequency' or 'rawcount' Lc / L
Where:
Operand Description
TP Number of true positives at leaf.
FP Number of false positives at leaf.
C Number of trees.
Lc Number of leaf nodes for class.
L Number of leaf nodes in tree.
prob_for_label_response DOUBLE PRECISION [Column appears only with Responses syntax element.] Probability that observation belongs to category response, calculated as in the description of column prob.
accumulate_column Same as in AttributeTable [Column appears once for each specified accumulate_column.] Column copied from AttributeTable.