Hi,
I'm using a Neural Net model to approach a classification problem with 3
possible outcomes. The distribution of outcomes is far from even: A (88%), B
(10%) and C (2%). I am using a random sample and thus it reflects the
proportions in the population. Because the algorithm minimizes the overall
error function, I'm getting good performance on A's but not on B and C.
Should I use a sample with 1/3 of the outcomes in each category and do some
proper weighting afterwards?
By the way, I am using STATISTICA Data Miner.
Thanks in advance for your response.
Regards,
Leo.
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