Assume, that x is input parameter, y is real output value and z is predicted output value. Early (20 years ago!) for sensitivity I have mean indicator of correction of prediction function changing depending of input parameter changing. So, Sensitivity is
{z(x[2] – z(x[1])}/{y(x[2] – y(x[1])}. In differ of accuracy, that one-point estimation, sensitivity is two-point estimation. But last years for sensitivity, at least on data mining field, mean some else.
Sensitivity = Recall = TPR = #TP/(#TP + #FN). What term can I use now instead of sensitivity for two-point estimation? Thanks beforehand for your answer. Regards, Sergey.
Dear Sergey Porotsky ,
Analog for “Sensitivity” - Pathos sensibility sensitiveness sensitivity sentience soreness susceptibility
Regards, Shafagat
Dear Sergey Porotsky ,
Analog for “Sensitivity” - Pathos sensibility sensitiveness sensitivity sentience soreness susceptibility
Regards, Shafagat
Dear Shafagat, thanks a lot for answer! What is your opinion - what term is most available for old "two-point (dynamic) sensitivity"?
Regards, Sergey.
Dear Sergey Porotsky,
I found this an interesting article.
Article Research Article Dynamic Changes, Cut-Off Points, Sensitivit...
Regards, Shafagat
Dear Shafagat, thank you very much for your link! I will carefully study this article! Regards, Sergey.
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