I'm running an HP Neural node in Enterprise Miner to predict toward a multicategorical nomial target. I receive the following error message due to a run time error:
NOTE: There were 57066 observations read from the data set EMWS1.PART_TRAIN.
NOTE: There were 24457 observations read from the data set EMWS1.PART_VALIDATE.
NOTE: Reading data...
ERROR: No useable observations.
NOTE: The SAS System stopped processing this step because of errors.
NOTE: There were 81523 observations read from the data set WORK.HPNNA_TRAINDATA.
WARNING: The data set EMWS1.HPNNA_OUTMODEL may be incomplete. When this step was stopped there were 0 observations and 0 variables.
WARNING: Data set EMWS1.HPNNA_OUTMODEL was not replaced because this step was stopped.
I have been unable to find any documentation online as to the cause of this error message. I have run the same data through several decision trees and random forests with no hassle.
Thanks in advance.
My best guess is that each observation has at least one missing value for an input or target. Can you see if there is an input with a lot of missing values and either reject that variable, or use HP Impute to impute?
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