5.4.5 - Factor Scoring - RESULTS - Reports - Teradata Warehouse Miner

Teradata Warehouse Miner User Guide - Volume 3Analytic Functions

Teradata Warehouse Miner
Release Number
February 2018
English (United States)
Last Update
  1. On the Factor Scoring dialog box, click RESULTS.
  2. Click reports (note that the RESULTS tab is disabled until after the analysis is completed).
    Factor Scoring > Results > Reports

    • Resulting Scored Table — Name of the scored table - equivalent to Result Table Name.
    • Number of Rows in Scored Table — Number of rows in the Resulting Scored Table.
    • Evaluation — Model evaluation for factor analysis consists of computing the standard error of estimate for each variable based on working backwards and re-estimating their values using the scored factors. Estimated values of the original data are made using the factor scoring equation = XCT where is the estimated raw data, X is the scored data, and C is the factor pattern matrix or rotated factor pattern matrix if rotation was included in the model. The standard error of estimate for each variable y in the original data Y is then given by:

      where each is the estimated value of each variable y, n is the number of observations and p is the number of factors.