
33:40
Joseph Egan, I believe

59:28
The one-vs-one AUC is implemented by R package called "HandTill2001"

59:41
https://cran.r-project.org/web/packages/HandTill2001/HandTill2001.pdf

01:00:23
Thank you Ljubomir!

01:01:19
That's ok :D I love multiple charts so multiple ROCs is ok for me :D

01:03:00
Do you have to have a probability for ROC? (Sorry for this a dumb question, but I been trying to figure out the proper way to do ROC when my predictor is ordinal)

01:03:32
You don't need probability, but you do need to be able to sort the cases by the score.

01:04:38
:O ? really? Then why does in always complain about needing a probability when I try SVM or (in the case of my question) ordinal logistic regression.

01:06:07
\o/ \o/

01:08:15
Thanks Ljubomir for the link to the "HandTill2001" R package for one-vs-one AUC!

01:08:37
could be due to software? it’s theoretically possible to construct ROC as long as you have ordered scores

01:11:37
logo is still a thing in minecraft

01:11:53
the computer in Minecraft do logo

01:13:10
The terms Mario mentioned ‘One-vs-Rest and ‘One-vs-One’ are also known as ‘One-Against-All’/’OAA’ and ‘One-Against-One’/’OAO’

01:13:42
@Kenneth let me watch and try to understand

01:22:28
Man this awesome.

01:26:48
`that turtle animation has really made this come alive..i am able to relate to this so much better after having seen that

01:28:00
+1

01:33:34
+1

01:42:10
+10

01:44:40
Interesting do you have the code for some these more advanced ROC curves? :D

01:49:05
You can also think of each orange box as a little ROC plot. The line is diagonal because in that subpopulation we have no information—all the scores are the same.

01:53:25
Brilliant!

01:53:31
+1!!

01:56:41
btw, the wilcoxon interpretation is the basis for the delong test, which is used to test the hypothesis that two AUCs are equal

01:57:23
OPTIMAL :O

02:05:53
python is evil! (jokes)

02:10:49
What is Zella?

02:11:00
zeallot

02:11:17
package for multiple assignment

02:18:34
@JohnMount: don’t understand why false_negative_value = 0 isn’t good enough?

02:27:04
Im not seeing the screen

02:27:24
?-?

02:27:32
I can see

02:27:41
working for me

02:28:08
Looks fine to me.

02:28:22
please continue

02:28:33
No sound from Nina.

02:30:25
Can some explain prevalence?

02:30:48
Prevalence threshold

02:31:07
prevalence is the proportion of the population that is positive