Why ROC and AUC is needed | ROC curve analysis | ROC curve analysis in python
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- Опубликовано: 28 дек 2022
- Why ROC and AUC is needed | ROC curve analysis | ROC curve analysis in python
#ROCcurve #machinelearning #datascience
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My name is Aman and I am a Data Scientist.
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Topics for the video:
Why ROC and AUC is needed
ROC curve analysis
ROC curve analysis in python
ROC curve diagnostics test
ROC curve analysis
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Excellent, to the point , very informative. great explanation
Didn't know that roc curve is actually for varying threshold values...thanks for the video
Sir, that was an amazing explanation! Thank you so much!
for the firs time I got the intuition for roc curve. Thank you so much Aman Sir
You're most welcome
@@UnfoldDataSciencewas pretty good thanks
Hi UDF, I saw your videos very interesting. Thanks
I already knew the concept.. by I didn't think in this direction that it is at the model level and is one and only performance matrices which is unaffected by the threshold. Thanks for your Gyann :)
Thank you so much..i understand this concept more clearly
You're most welcome
Well done. You have cleared my confusion
Thanks a lot.
Best teacher!!
superb
Best video
Very useful sir 🤗 so Shared in grp
Thanks a lot for sharing
Please explain rnn and LSTM layers parameters...having lot of confusion in it..
Really great video bro!!! Can you please also put some videos for LLMs mainly peft
Very well explained
Thanks Shreyas. Pls share with friends as well.
Great explanation!!
Glad it was helpful!
Can you explain transformer and self attention model and explain difference between lstm and transformer
Thank you for the video. Do you know why the plot starts with threshold value =2 ? According to my understanding threshold should be between 0 and 1, because these are probabilities, correct?
Sir please do a video on fbprophet
Thanks Ganesh. Sure
Aman Sir , how can I join your coaching class? You are superb teacher.
Thanks Shekhar. Please click on below link
www.unfolddatascience.com
Sir please explain how threshold is different for each value. it should be same right? i am literally very confused with threshold value changing.
Hmm...you have asked a very good question. It confuses many people
Let me try creating a video around it.
How do we interpret the AUC value? for example the value you showed was 0.93, do we say it's good or bad? and how do we know?
good, think like percentage of marks out of 100
you must teach in detail, i dont know anything about tp,fn
It can't be applied for multiple classes classification is is true? Sir
Have you found the answer ?
How to find optimal threshold?
Business knowledge + Experience + What data is saying
Sir first tell one thing how did you know that I'm learning roc auc and I'm getting confused in it .😂😂😂 Jokes apart , great knowledge ... Getting ready for interviews .😊
Thanks Ankit 🙂.