I created a model to predict if there was a match between 2 lists. The model has 4 levels of matching based on different fields. It is better to say no match when it should be a match than to say match when it is not. n=5867 TT=model indicated a match and it is a match TF=model indicated a match and it is not a match FF=model indicated a non-match and it is a non-match FT=model indicated a non-match and it was not a match
Here are the results: Level 1: TT=919 TF=4 FF=3546 FT=1398 Level 2: TT=2160 TF=13 FF=3537 FT=157 Level 3: TT=2270 TF=34 FF=3516 FT=47 Level 4: TT=2317 TF=42 FF=3508 FT=0 As I go from level 1 to level 4, the model matches more TT, but it is also getting more TF. How do I show this? What does this tell me? Should I just use the TT and TF? Any help getting started is appreciated. Thanks, . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
