Hello Everyone,
I am using SAS Enterprise Miner to create a model. While using the Gradient Boosting model, I am getting missing value for false negative in the training set. I'm not sure what it means.
Moreover, in what ways can we improve the classifiers for the model?
Thanks,
Dishen
I have moved this post to 'SAS Data Science' board which is more appropriate for the subject.
Hello,
How many observations are there in your training dataset?
If you have 234 + 3 + 80 ( = TN + FP + TP ) = 317, then the missing means zero!
Making the model better?
Remember : what you do BEFORE throwing the data into a modelling node is of utmost importance !
Good luck,
Koen
You might find some helpful tips for improving the gradient boosting model here:
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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.