Displaying 3 results from an estimated 3 matches for "test_roc".
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test_recv
2017 Jun 26
0
Jagged ROC curves?
...cs. The more unique thresholds there are over the range, the smoother the step function will look.
Regards,
Marc
> On Jun 26, 2017, at 1:07 PM, Brian Smith <bsmith030465 at gmail.com> wrote:
>
> Hi Mark,
>
> Thanks for the reply.
>
> For the attached two png files (test_roc.png & test_roc_smooth.png)
>
> 1. Using 'plot' function:
>
> plot(c(1,0),c(0,1), type='l', lty=3, xlim=c(1.01,-0.01), ylim=c(-0.01,1.01), xaxs='i', yaxs='i', ylab='', xlab='')
> plot(roc_1,col="brown3", lwd=2, add=T, lty...
2017 Jun 26
0
Jagged ROC curves?
> On Jun 26, 2017, at 11:40 AM, Brian Smith <bsmith030465 at gmail.com> wrote:
>
> Hi,
>
> I was trying to draw some ROC curves (prediction of case/control status),
> but seem to be getting a somewhat jagged plot. Can I do something that
> would 'smooth' it somewhat? Most roc curves seem to have many incremental
> changes (in x and y directions), but my plot
2017 Jun 26
3
Jagged ROC curves?
Hi,
I was trying to draw some ROC curves (prediction of case/control status),
but seem to be getting a somewhat jagged plot. Can I do something that
would 'smooth' it somewhat? Most roc curves seem to have many incremental
changes (in x and y directions), but my plot only has 4 or 5 steps even
though there are 22 data points. Should I be doing something differently?
How can I provide a