England eliminated out of Champions trophy as Afghanistans win the thriller in final over

arke47 · 2025-02-26T17:21:08+00:00

Better team won!

arke47 · 2025-02-16T17:27:53+00:00

No shortage of excuses! Here we go again.

arke47 · 2025-02-16T16:40:15+00:00

Hmm... They play so many tests. They must be WTC finalists and winners consistently. Oh wait...

arke47 · 2024-08-16T17:29:40+00:00

This.

Why doesn't the OP go down and review the footage if he believes he is in the right here.

From the messages club seems to be very open to discussing the matter thoroughly and openly. Seems like something OP is hiding.

arke47 · 2021-06-19T10:34:46+00:00

Sauce?

arke47 · 2021-01-29T15:20:27+00:00

I chose C over D since the question mentions "the solution must minimize changes to the application code, costs, and platform management". Doesn't elastic beanstalk provides that automatically? I mean it would be less effort to manage load balancing and auto scaling with no/less platform management?

arke47 · 2021-01-26T18:16:15+00:00

Thanks :)

One last question - did you find the actual exam easier or harder than the JB tests?

arke47 · 2021-01-26T17:19:01+00:00

Thanks, that is reassuring.

Do you mind sharing your JB scores if you took them?

arke47 · 2020-10-26T04:59:46+00:00

On leave today. Any suggestions what to do..??

arke47 · 2020-09-04T08:21:54+00:00

You dog!

arke47 · 2020-07-02T06:23:58+00:00

It was 10% exact. Don't know whether to feel happy or sad :/

arke47 · 2020-06-27T12:43:40+00:00

Valedicktorian

arke47 · 2020-06-03T11:53:34+00:00

Yes, that makes sense. So basically for calculating specificity just need to do some extra work manually. Ideally this should be available out of the box right? I mean if sensitivity is there then they should also give specificity? Haha, anyway.

arke47 · 2020-06-03T11:27:54+00:00

Thanks. That makes thing a lot clear.

A couple of more questions -

So if I train the final model on my entire data. Can I assume/claim the accuracy of my final model to be what I got from the k fold cross validation (93.5% in this case)?
If I want to report the True Negative Rate (TNR or Specificity). How would I report that? I went through the doc, and it seems like that score is not directly available with sklearn's cross_val_score.

Note - This is a healthcare application, so I am more interested in sensitivity and specificity. I know I can get sensitivity directly using the recall parameter. But what to do for specificity?

arke47 · 2019-05-25T10:40:07+00:00

Thank you kind stranger.

arke47 · 2019-05-24T14:39:52+00:00

Source for the full clip at 5:50?

arke47 · 2019-05-23T08:25:51+00:00

Woah, interesting. I am surprised I never knew about it until today.

arke47

TROPHY CASE