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From Mat Kelcey <matthew.kel...@gmail.com>
Subject AUC=1.00 when confusion matrix shows prediction not perfect
Date Sun, 22 May 2011 21:53:41 GMT
Hi,

I'm working through some examples from mahout in action and have got a
strange result.

mat@matpc:~/dev/mahout$ bin/mahout trainlogistic --input donut.csv
--output ./model --target color --categories 2 --predictors x y a b c
--types numeric --features 20 --passes 100 --rate 50
...
mat@matpc:~/dev/mahout$ bin/mahout runlogistic --input donut.csv
--model ./model --auc --confusion
...
AUC = 1.00
confusion: [[27.0, 1.0], [0.0, 12.0]]
entropy: [[-0.1, -1.5], [-4.0, -0.2]]
...

how can i have AUC=1.00 when there was a mis prediction?

cheers,
mat

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