Hugues Fontenelle

Oslo, Norway

Age: 36

May
7
comment Python - How to delete rest of string after a specific word/character
You linked yourself to the general solution: stackoverflow.com/questions/14596884/…
May
7
revised Set debugger breakpoint at end of a function without return
added 784 characters in body
May
7
comment Set debugger breakpoint at end of a function without return
Sure. This is in my (separate) answer. Please comment on that one if it is still unclear.
May
5
comment Comments in continuation lines
Obviously the with-statement is not "multiple" anymore.
May
5
answered Comments in continuation lines
May
5
awarded Yearling
May
5
awarded Yearling
May
1
revised Set debugger breakpoint at end of a function without return
function --> method
May
1
comment Set debugger breakpoint at end of a function without return
Perhaps no support in PyCharm, but you definitely can break at the end of a method with pdb (or ipdb).
May
1
revised Set debugger breakpoint at end of a function without return
added 4 characters in body
May
1
answered Set debugger breakpoint at end of a function without return
May
1
answered Creating wxSlider with range on Linux
Mar
27
comment how to calculate roc curves?
The initial definitions are wrong. Precision != Sensitivity, please review.
Mar
25
awarded Scholar
Mar
25
awarded Benefactor
Mar
25
accepted Correcting naïve Sensitivity and Specificity for classifier tested against imperfect gold standard
Mar
24
comment Correcting naïve Sensitivity and Specificity for classifier tested against imperfect gold standard
Thank you for your answers. I was trying to avoid domain specifics, but since you asked, here are my beliefs: the data is related to genetics. The True Positive set comes from a database HGMD while the True Negative set is based on an assumption (which is, MAF>=0.20 is a benign variant). I have heard in conferences that the HGMD contained "errors" (but I cannot find citations nor proper quantification); while the benign assumption does not hold at all times.
Mar
19
revised Correcting naïve Sensitivity and Specificity for classifier tested against imperfect gold standard
title
Mar
19
awarded Promoter
Mar
17
comment Understanding Model Credibility with True/False Positive/Negative
I should have seen that. The problem is asymetric, in that many people do not buy the bike (the condition negative is prevalent). That's okay but the AUC tells you, correctly, that it is > 0.50, which is unhelpful. You're correct (but you may need to work on the model/features)
1 2 3 4 5