Desktop productivity for business analysts and programmers

MBR prediction error and confusional matrix

Reply
New Contributor
Posts: 3

MBR prediction error and confusional matrix

How to find the total predictional error on the test set and the confusional matrix on validation set for MBR classificator on SAS enterprise miner?

  Answere asap.

             thank you very much

New Contributor
Posts: 3

Re: MBR prediction error and confusional matrix

I have the same problem :smileyshocked:

SAS Employee
Posts: 340

Re: MBR prediction error and confusional matrix

Connect a Model Comparison Node to MBR.

There you should see it.

New Contributor
Posts: 3

Re: MBR prediction error and confusional matrix

I found the confusional matrix, but not the error of test set Smiley Sad

SAS Employee
Posts: 340

Re: MBR prediction error and confusional matrix

In Model Comparison results look at the Fit Statistics table.

Some of the last columns are: Test ASE, Test RASE, Test MSE, Test RMSE, Test Misc.Rate, etc.

Make also sure, that you have a Partition Node in the flow, and test set percent is not 0%.

New Contributor
Posts: 3

Re: MBR prediction error and confusional matrix

Thank you very much!Smiley Happy

In the Partition Node test set percent is not 0%, but the value of final prediction error is " . " .I had a filter node for the target before the Partition, maybe I have deleted something important...

SAS Employee
Posts: 340

Re: MBR prediction error and confusional matrix

As a first step try to connect a Model Comparison Node directly to the MBR node.

What does your Filter Node do? Hopefully not dropping all the test observation.

You can select the Model Comparison Node, then click on Imported Data, and Browse directly the Test Data. Does it have predictions (not missing)? Is the target variable OK (not missing)?

Are you saying that Test ASE, etc are all missing in the Fit Statistic Table?

Ask a Question
Discussion stats
  • 6 replies
  • 463 views
  • 1 like
  • 3 in conversation