How to pronounce“false positive”in English

false positive on your kova test and if you're gonna travel you have to we've got to figure this out you got to come do blood work you got to come do

false negative on the antigen for public health i would call it a false positive on the pcr test but this type of thinking

a false positive is-- ot effectively becomes more likely than not.

of false positive rates.

A false positive, we say you have a cancer, and you don't get a biopsy, you go through all this stuff, it's painful, it's expensive,

A false positive, I'm going to do it again, and then I'm going to find out hold on , turns out that was not correct.

to false positive to removing a post by somebody

percent false positive rate it's perfectly acceptable and where people

which is called a false positive, is 10%.

The probability of one false positive is, therefore, 10%, or 0.1.

So we considered false positive rates of 5%, 1%, and 2%.

It's not a false positive for breast cancer.

vaccine can get false positive results so there are lots of um problems with it

So for every false positive rate, which is the proportion of false positives, at as a fraction of all negatives, meaning the fraction of false

Then my false positive and false negative rate can't both be equalized, but somebody bluh bluh bluh.

positive as a false positive 0.5 of the time um and then you know like a false negative rate about 10

i got a false positive on my covet test and i got a call from the medical clinic that night being like you need to come in you got a

and he got a false positive or no i shouldn't say he didn't necessarily get a false positive he got discrepant results he did this

more likely to get a false positive

So the probability of receiving a false positive, at least one false positive over the course of those seven tests, is 1 minus that.

And it's typical to pick the false positive rate to be 5%.

So if you limit the false positive rates to 2% and your number of redirected tasks

So it certainly has a low false positive rate because it tells you what you want.

likely you are to have false positive results that are wrong um right so this we have to add this to the fact that

very likely to have mostly false positive studies published about them which means that there's a lot of

uh you know we made a false positive right so what are some of the things that we saw for minority

that don't really exist a false positive or to miss things that are really there a false negative in this section we'll

And so that signature would be a false positive for us.

And so that signature would be a false positive for us.

And so that signature would be a false positive for us.

We would call that a false positive or a type I error.

That on the x axis has the false positive rate and on the y axis it has a true positive rate.

eighty-four percent accuracy rate sixteen percent false positive rate it's

out of 100 times that it's a false positive.

And so as long as there is some possibility of a false positive, which, of course, there always is, there's going to be a bias toward publishing

So some people who'll be given a false positive will undergo a biopsy to try and understand whether their lump is a tumor or not.

in the first test with probability 0.9 and no false positive in the second test with probability of 0.9.

And then the probability of having at least one false positive is 1 minus that, at 0.271.

So if you go for enough of these screens and the false positive rate is sufficiently high, so even as high as 10%, by the time you've gone to seven screens,

Right, so a false positive is if you're crying wolf and nothing actually is wrong that's a really black eye,

to reduce the chance of that being a false positive.

Right, so a false positive, is where you think you did a good job, but it actually it's the thing you did is a bad thing, you just got a false positive.

that uh like Google ran something like this and found false positive some guy had to take a photo of a kid for you know medical diagnosis it got false you

In fact, it was a false positive, as was always most likely to be the case.

Because those are the only two options-- either you've received no false positives, or you've received at least one false positive over the course of the screens that you've been to.

it becomes more likely than not for you to have received a false positive.

That's what we call-- as opposed to warnings that can turn into false positive.

But again, if we pick the 5% false positive rate as a threshold, we end up with the precision recall values

trouble and somebody makes a call to find out you know did we make a false positive and the next thing coming back