At 1:57, the false positive rate should be 2/5. If you are declaring diseased to be positive class, then showing healthy people as diseased is false positive. Am I correct?
I think there is a mistake at 5:36. It shouldn't say "the larger the AUC, the better the classifier," but instead, "the further the AUC is from 0.5." This is because 0 is not the worst classifier; 0.5 is (a random classifier). An AUC of 0 would actually be perfect since you could just invert the output of the classifier-meaning always pick "yes" if the classifier says "no," and vice versa. This would result in a perfect classifier.
It would be "An" ROC curve because we pronounce the R as "ar". So that's a bit annoying since you say a ROC curve for the entire video xd. But this was a nice explanation thanks.
Hey danke für dein Feedback! Was hast du studiert? Wenn du magst kannst du dich ja mal per mail melden: mathias.jesussek@datatab.de 🙂 . Inzwischen trennen wir die deutschen von den englischen Videos, daher gibt es das gleiche sonst auch nochmal auf deutsch auf unseren deutschen Kanal : ) LG Hannah und Mathias
Him thanks for that, and I have a question regards, the DATATAB, how to find the frequency, I have had tried multiple times, can't find it is there is ability to do it or find it in that? thanks
![Hierarchical Cluster Analysis [Simply explained]](/img/1.gif)
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Words can't express my sincere gratitude, many thanks.❤
My pleasure 😊
Very very beautifully and simply explained Thanks
Most welcome 😊 Regards Hannah
Best of all I have searched , Keep shining Friend 😀
you're also learning ML, are you not? haha....where are you from, friend?
Thank you so much
shouldn't false positive rate on 1:56 be 2/5 instead of 3/5?
I saw that mistake too!! you not alone!
So i am not alone, must be 3/5...
At 1:57, the false positive rate should be 2/5. If you are declaring diseased to be positive class, then showing healthy people as diseased is false positive. Am I correct?
Oh, thanks for your comment! Yes you are correct! That's a mistake in the video! Thanks!
@@datatab so please pin this message.
I think there is a mistake at 5:36. It shouldn't say "the larger the AUC, the better the classifier," but instead, "the further the AUC is from 0.5." This is because 0 is not the worst classifier; 0.5 is (a random classifier). An AUC of 0 would actually be perfect since you could just invert the output of the classifier-meaning always pick "yes" if the classifier says "no," and vice versa. This would result in a perfect classifier.
Beautiful explaination. Thank you !
Great video
Glad you enjoyed it
It would be "An" ROC curve because we pronounce the R as "ar". So that's a bit annoying since you say a ROC curve for the entire video xd. But this was a nice explanation thanks.
Easy explanation
Very Clear Explanation . Can you explain RoC for defaulter/ non defaulter ( altaman z score) and relate it to Type 1 error and type 2 error
truly amazing content in just 7 min video. hats off.
great job , thank you
It's been years since I tried to understand this concept, and finally with your video I get what ROC AUC is. sincere thanks.
حالا که این غلط گفت توی توضیحات ابتدایی. 😅
False positive rate should be 2/5.. not 3/5 at 2.00 minutes of the video.. 3/5 is true negative rate
Also true positive rate should be 4/6, right?
you are right, she is misguiding us
Here comes the toppers 😂 seriously who cares man all you need is to understand the topic
Why is the false positive rate 3/5 and not 2/5 when 2 are wrongly classified as sick?
yeah, I agree with that, I think it should have been 2/5
i think theres a mistake in this video at 2:44 where "true negatives" means diseased persons correctly classified as diseased
ie... that is!
The false positive rate will be 2 of 5
Good explanation ma'am, may i have your whatsapp no??
Many many thanks for your feedback! But unfortunately we do not give out our phone number!
@@datatab xD
Best explanation I've ever had. Thank you.
❤
Thank you for the video. I wondering how to get the 45 for the threshold value which is positive or negative
Fantastische Erklärung. Didaktisch ist das wirklich extrem gut. Respekt 👍🏻
Hey danke für dein Feedback! Was hast du studiert? Wenn du magst kannst du dich ja mal per mail melden: mathias.jesussek@datatab.de 🙂 . Inzwischen trennen wir die deutschen von den englischen Videos, daher gibt es das gleiche sonst auch nochmal auf deutsch auf unseren deutschen Kanal : ) LG Hannah und Mathias
@@datatab Hey. Ja sehr gerne. Ich habe Sozialwissenschaft mit dem Schwerpunkt Sozialforschung und Statistik studiert.
Him thanks for that, and I have a question regards, the DATATAB, how to find the frequency, I have had tried multiple times, can't find it is there is ability to do it or find it in that? thanks
no explanation can be better than this!
Thanks.
perfect explanation.
I’m grateful