search for: fpr

I have two vectors (k.floor and k.ceiling) of integers of the same length, and a function (fpr). b <- 10:40 k.floor <- floor(log(2) * b) k.ceiling <- ceiling(log(2) * b) fpr.floor <- fpr(b, k.floor) fpr.ceiling <- fpr(b, k.ceiling) If R had a element-wise ternary function, I'd like to do something like this: (fpr.floor < fpr.ceiling) ? k.floo...

Hello R-USERS, I think some people didn't understand my question. What I want is to use the training set to minimize the FALSE POSITIVE RATE. I think it is possible. I sacrifice ACCURACY to have less FALSE POSITIVES. I don't want a classifier result with 5% of FPR and, for example, 93% of ACCURACY. I want a 1% FPR sacrificing the 93% ACCURACY. Do you know how can I do this? I really need this because the requisite of the work I'm doing is only 1% of FPR. Thanks and best regards. ************************************************* |????????????????| -...

...es the accuracy?do we do the following?(is there a simpler way): > cutoff.list <- unlist(perf.acc at x.values[[1]]) > cutoff.list[which.max(perf.acc at y.values[[1]])] If the above is correct how is it possible to find the average false positive and negative rates? from the following perf.fpr <- performance(pred, "fpr") perf.fnr <- performance(pred, "fnr") The dataset that consists of two columns; score and a binary response, similar to this: 2.5, 0 -1, 0 2, 1 6.3, 1 4.1, 0 3.3, 1 Thanks, Saeed ?--- R 2.8.1 Win XP Pro SP2 ROCR package v1.0-2 e1071 v1.5-19

...he given va_list is already allocated. // // typedef struct { // char gpr; /* index into the array of 8 GPRs // * stored in the register save area // * gpr=0 corresponds to r3, // * gpr=1 to r4, etc. // */ // char fpr; /* index into the array of 8 FPRs // * stored in the register save area // * fpr=0 corresponds to f1, // * fpr=1 to f2, etc. // */ // char *overflow_arg_area; // /* location on stack that holds //...

Klibc FTBFS with '-mno-odd-spreg' on mips32(el) platforms, As it try to save/restore odd-number FPR. Indeed no other architectures save/restore FPR at all. It shouldn't be needed. --- usr/klibc/arch/mips/setjmp.S | 24 ------------------------ 1 file changed, 24 deletions(-) diff --git a/usr/klibc/arch/mips/setjmp.S b/usr/klibc/arch/mips/setjmp.S index 68eed19..21e4115 100644 --- a/usr/kli...

...cated. > // > // typedef struct { > // char gpr; /* index into the array of 8 GPRs > // * stored in the register save area > // * gpr=0 corresponds to r3, > // * gpr=1 to r4, etc. > // */ > // char fpr; /* index into the array of 8 FPRs > // * stored in the register save area > // * fpr=0 corresponds to f1, > // * fpr=1 to f2, etc. > // */ > // char *overflow_arg_area; > // /* location on s...

Hello everyone. These days I am writing some code for a small project. I have started having problems with different versions of the files I keep (in case I need to move to older files). I need some easy cvs platform ( I do not know if cvs is the general name or a specific program) that is easy to use. I do not need something that special or specific. Could you please suggest me one easy to

...typedef struct { >> // char gpr; /* index into the array of 8 GPRs >> // * stored in the register save area >> // * gpr=0 corresponds to r3, >> // * gpr=1 to r4, etc. >> // */ >> // char fpr; /* index into the array of 8 FPRs >> // * stored in the register save area >> // * fpr=0 corresponds to f1, >> // * fpr=1 to f2, etc. >> // */ >> // char *overflow_arg_area; >> //...

...custom function. My data frames are named like test1, test2, test3. Each data frame has three variables: method1, method2, goldstandard. Right now, for each plot I have to run: png('test1_method1.png') plot(performance(prediction(test1$method1, test1$goldstandard), "tpr", "fpr")) dev.off() Here is the function I tried to create but I failed: roc <- function(arg1, arg2){ png(paste(arg1, arg2, "png", sep="_")) plot(performance(prediction(arg1$arg2, arg1$goldstandard), "tpr", "fpr")) dev.off() } I wanted to pass the t...

...dd=TRUE option does not work for plotting performance objects The following code is taken from the reference manual (example for ROCR.hiv, page2) data(ROCR.hiv) attach(ROCR.hiv) pred.svm <- prediction(hiv.svm$predictions, hiv.svm$labels) perf.svm <- performance(pred.svm, 'tpr', 'fpr') pred.nn <- prediction(hiv.nn$predictions, hiv.svm$labels) perf.nn <- performance(pred.nn, 'tpr', 'fpr') plot(perf.svm, lty=3, col="red",main="SVMs and NNs for prediction of HIV-1 coreceptor usage") now I see some dotted red ROC curves. Now after the...

I define a pattern to move two 32bits gpr to 64bits fpr. like arm instructure fmdrr. But I need to use an even/odd register pair to save its 2 operands. I define in mytarget.td: myfmdrr: SDTypeProfile<1, 2, [SDTCisVT<0, f64>, SDTCisVT<1, i32>,     SDTCisSameAs<1, 2>]>; def my_fmdrr : ........... def myFMDRR : ....            ...

This patch series adds support for some simple operations on hive files, and I've now tested and verified that those operations work correctly. All except for the last patch (12/12) are ready to be committed. The last patch is WIP. Rich. -- Richard Jones, Virtualization Group, Red Hat http://people.redhat.com/~rjones virt-df lists disk usage of guests without needing to install any

...ne on the VoiceMail app to actually store and retrieve messages to/from an object store? Cheers, Andrew -- Andrew Ruthven, Wellington, New Zealand MIITP, ITCP At work: andrew.ruthven at catalyst.net.nz At home: andrew at etc.gen.nz Cloud : NZs only real cloud - https://catalyst.net.nz/cloud GPG fpr: C603 FC4E 600F 1CEC D1C8 D97C 4B53 D931 E4D3 E863 LCA2016: LCA By the Bay, Geelong, AU - lca2016.linux.org

Hola, Marta, Por lo que he podido ver tus datos ya tienen calculados las tasas de verdaderos y falsos positivos (TPR y FPR). También parece que los tienes ordenados por la variable FishSpeed y supongo que también por las que parecen marcas de tiempo. No necesitas ROCR porque con un simple plot te sale algo parecido a una curva. Eso sí, veo que son medidas repetidas en el tiempo para cada valor de FishSpeed. Como apaño...

Hi everybody, I have a data set with a value and a status (positive or negative case) and I want make a ROC Analysis. So, with ROCR Package, I have got the ROC curve (True Positive Fraction [tpf] according 1-True Negative Fraction [1-tnf]). http://r.789695.n4.nabble.com/file/n4469203/01.png But, now I want a new graphic which show the sum of true positive fraction and true negative fraction

..., na.rm = TRUE) length(x) - length(x[x <= bin.ct]) # Very curious. One last thing which may or may not be related: # If I try and subset results from ctch using different values of ctch$threshold, this happens: ctch[ctch$threshold == 3.0, ] # threshold val tp fp tn fn tpr fpr tnr fnr #7 3 395.38 3029 16883 16888 111 0.96465 0.499926 0.500074 0.03535 ctch[ctch$threshold == 3.5, ] # [1] threshold val tp fp tn fn tpr fpr tnr fnr #<0 rows> (or 0-length row.names) ctch[ctch$threshold == 4.0, ] # thr...

...g->sock_watch = -1; cleanup0: free (kernel); @@ -1513,20 +1401,12 @@ qemu_supports (guestfs_h *g, const char *option) return g->qemu_help && strstr (g->qemu_help, option) != NULL; } -static void -finish_wait_ready (guestfs_h *g, void *vp) -{ - if (g->verbose) - fprintf (stderr, "finish_wait_ready called, %p, vp = %p\n", g, vp); - - *((int *)vp) = 1; - g->main_loop->main_loop_quit (g->main_loop, g); -} - int guestfs__wait_ready (guestfs_h *g) { - int finished = 0, r; + int r; + uint32_t size; + void *buf = NULL; if (g->state...

>I found a problem with pxelinux in 2.08 and 2.09pre13 when working with >vmware 4.5.1 (the latest with builtin support fpr pxe-boot). With 2.07 and >2.01 it works without problems. But when trying the later versions there is >trouble. I reach pxeboot.msg >and it shows fine but when I try to choose an image it dosent give keyboard >feedback (first I thought it had hanged) but after some testing it showed &gt...

...ething is wrong with my R-environment ? Could somebody provide a hint, what is wrong. Question 2) When I run an example commands from the manual library(ROCR) data(ROCR.simple) pred <- prediction( ROCR.simple$predictions, ROCR.simple$labels ) perf <- performance( pred, "tpr", "fpr" ) plot( perf ) the plot command issues the following error message Error in as.double(y) : cannot coerce type 'S4' to vector of type 'double' How this could be fixed ? Thanks for the support -- View this message in context: http://www.nabble.com/Using-package-ROCR-tp22...

...t* a PAIR_GPR register, you have to use two INSERT_SUBREG. To extract out a GPR from a PAIR_GPR, you need to issue EXTRACT_SUBREG. In most cases, these will be nop's. In other cases, they are copies. Evan On Feb 19, 2009, at 2:00 AM, 任坤 wrote: I define a pattern to move two 32bits gpr to 64bits fpr. like arm instructure fmdrr. But I need to use an even/odd register pair to save its 2 operands. I define in mytarget.td: myfmdrr: SDTypeProfile<1, 2, [SDTCisVT<0, f64>, SDTCisVT<1, i32>,     SDTCisSameAs<1, 2>]>; def my_fmdrr : ........... def myFMDRR : ....           ...