1.1 - Training and Test Table Structure for Model - Teradata Analytic Apps - Vantage Analyst

Vantage Analyst with Machine Learning Engine User Guide

Product
Teradata Analytic Apps
Vantage Analyst
Release Number
1.1
Published
December 2019
Language
English (United States)
Last Update
2020-08-06
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Model requires a pair of training and test tables, with input features and a response or target field, one record for each entity being modeled. Typically, the training table contains 80% of the records, with the remaining 20% applied to the test table to validate the accuracy of the model.

Model automatically filters some tables, based on their name. Tables that contain the following case-sensitive strings in their name cannot be selected as a training or test tables:
  • _MODEL
  • _MONITOR
  • _MODEL_PREDICTIONS
  • _COUNT_OUTPUT
  • _STAT_OUTPUT
  • _ACC_OUTPUT

The structure for the Model training and test tables includes two required fields and any attributes applicable the model.

The two required fields are:
  • entity reference
  • response
Sample Model Profile Table

This sample table contains model input data that could be used to create an upgrade offer or churn prediction model for telecommunications customers.


Sample Model Profile Table