Monday, November 28, 2005
ROC curve
My goal today:
[/] to understand the concept of ROC curve
ROC curve also known as Receiver operating Characteristics curve or Relative operating characteristics curve is useful in medical decision-making. It was developed in the 1950’s as a product of research into making sense of radio signal contaminated by noise.
The basic idea of ROC is the concept of TPF (true positive fraction), FPF (false positive fraction), FNF (false negative fraction) and TNF (true negative fraction), sensitivity and specificity.
Sensitivity – how good the test in picking faces, P(T+/D+)
Specificity – the ability of the test to select a faces from objects, P(T-/D-)
Refer to reference 1 to fully understand the whole tutorial.
References:
1. http://www.anaesthetist.com/mnm/stats/roc/
2. http://peipa.essex.ac.uk/benchmark/tutorials/epsrcss2002/handout/epsrcss2002-handout.pdf
3. http://peipa.essex.ac.uk/benchmark/tutorials/essex/tutorial.pdf
4. http://eprints.pascal-network.org/archive/00001095/01/bengio_2005_icml.pdf
[/] to understand the concept of ROC curve
ROC curve also known as Receiver operating Characteristics curve or Relative operating characteristics curve is useful in medical decision-making. It was developed in the 1950’s as a product of research into making sense of radio signal contaminated by noise.
The basic idea of ROC is the concept of TPF (true positive fraction), FPF (false positive fraction), FNF (false negative fraction) and TNF (true negative fraction), sensitivity and specificity.
Sensitivity – how good the test in picking faces, P(T+/D+)
Specificity – the ability of the test to select a faces from objects, P(T-/D-)
Refer to reference 1 to fully understand the whole tutorial.
References:
1. http://www.anaesthetist.com/mnm/stats/roc/
2. http://peipa.essex.ac.uk/benchmark/tutorials/epsrcss2002/handout/epsrcss2002-handout.pdf
3. http://peipa.essex.ac.uk/benchmark/tutorials/essex/tutorial.pdf
4. http://eprints.pascal-network.org/archive/00001095/01/bengio_2005_icml.pdf
# posted by Jacey Lynn Minoi : 5:03 pm
