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ROC Curve or sensitivriy-specifty plot?

Hi
I really have problem understanding ROC threshold curv and none of the relevant posts could help!
Recently I found such a curve that we see in model results of rapidminer. It was called sensitivriy-specifty vs. cut off plot. It really makes sense.If so it is really differebt from ROC curve.I am really confused!
Somebody help me please ???

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fmon

Any heeeeelp???
and one more question.
The auc of my neural network model is 0.851+/-0.04.what is 0.04?standard error?

MariusHelf

You probably used a X-Validation to estimate the AUC. As you know, the X-Validation does 10 iterations, calculates the AUC for each, and delivers the average. The +-0.04 is the standard deviation of the AUC over the 10 iterations.

Regarding the ROC plot, did you see these articles?
- http://rapid-i.com/rapidforum/index.php/topic,5698.msg20162.html#msg20162
- http://rapid-i.com/rapidforum/index.php/topic,4713.0.html

Best regards,
Marius