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?
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.