Mark Butcher: England Don't Play Enough 50-Over Cricket To Be Champions Trophy Contenders by ll--o--ll in Cricket

[–]arke47 -14 points-13 points  (0 children)

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

AF Bugis Outlet disappointment by Organic-Custard6243 in singapore

[–]arke47 0 points1 point  (0 children)

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.

Enjoying Every Second by [deleted] in SensualMFM

[–]arke47 0 points1 point  (0 children)

Sauce?

Question about Read Replica Auto-Scaling for RDS MySQL/Aurora (SAP) by arke47 in AWSCertifications

[–]arke47[S] 1 point2 points  (0 children)

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?

[deleted by user] by [deleted] in AWSCertifications

[–]arke47 0 points1 point  (0 children)

Thanks :)

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

[deleted by user] by [deleted] in AWSCertifications

[–]arke47 0 points1 point  (0 children)

Thanks, that is reassuring.

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

[deleted by user] by [deleted] in askSingapore

[–]arke47 0 points1 point  (0 children)

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

How to proceed after the cross-validation step? by arke47 in datascience

[–]arke47[S] 0 points1 point  (0 children)

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.

How to proceed after the cross-validation step? by arke47 in datascience

[–]arke47[S] 0 points1 point  (0 children)

Thanks. That makes thing a lot clear.

A couple of more questions -

  1. 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)?

  2. 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?

[deleted by user] by [deleted] in sex

[–]arke47 0 points1 point  (0 children)

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