SAS Enterprise Miner

RCLIB.DIABVA

Input Data Settings:

Source Data: RCLIB.DIABVA ( 51 rows, 7 columns)
Output: EMDATA.VIEW_708
Description: RCLIB.DIABVA
Role: VALIDATE
Metadata Sample: EMPROJ.SMP_VI1Y ( 50 rows)

RCLIB.DIABTR

Input Data Settings:

Source Data: RCLIB.DIABTR ( 101 rows, 7 columns)
Output: EMDATA.VIEW_0O7
Description: RCLIB.DIABTR
Role: TRAIN
Metadata Sample: EMPROJ.SMP_VIH9 ( 100 rows)

Neural Network

Optimization plot:

 
 Fit Statistic                     Training    Validation        Test 
  
 [ TARGET=GLU ]                         .            .            . 
 Average Error                       826.79       539.57      1451.34 
 Average Squared Error               826.79       539.57      1451.34 
 Sum of Squared Errors             82678.75     26978.39     72567.25 
 Root Average Squared Error           28.75        23.23        38.10 
 Root Final Prediction Error          30.84          .            . 
 Root Mean Squared Error              29.82        23.23        38.10 
 Error Function                    82678.75     26978.39     72567.25 
 Mean Squared Error                  889.02       539.57      1451.34 
 Maximum Absolute Error               81.52        55.03        84.61 
 Final Prediction Error              951.25          .            . 
 Divisor for ASE                     100.00        50.00        50.00 
 Model Degrees of Freedom              7.00          .            . 
 Degrees of Freedom for Error         93.00          .            . 
 Total Degrees of Freedom            100.00          .            . 
 Sum of Frequencies                  100.00        50.00        50.00 
 Sum Case Weights * Frequencies      100.00        50.00        50.00 
 Akaike's Information Criterion      685.75          .            . 
 Schwarz's Baysian Criterion         703.99          .            . 
  

End Report

Path Information

Name: Neural Network_T3S5M6FG
Target: GLU
Description:
Mining Function: Transform
Subject: No subject
Rating: 0