Precision Recall Curve

[@tankstocks]

Awesome, loved the choice of example! it brings amazing clarity . thank you!

[@learndatasciencewithpranja7060]

Thanks Piyush for liking the Knowledge Video

[@beautyonearth4188]

where does % f1 come from? it's causing error when i follow it.

[@rimjhim5703]

What is better for case of multi label classification ?

[@farukuzzamanfaruk8075]

Could you please provide the code.

[@rimjhim5703]

How to interpret PR curve ?

[@learndatasciencewithpranja7060]

Hi Rimjhim ,
we need to look out for the value of the F1 score. which is the harmonic mean between precision and recall.
So basically we don't get much information for the PRc graph , they way we get the information from the AUROC curve

[@rimjhim5703]

​@@learndatasciencewithpranja7060 No, not always. F1-score is harmonic mean but still we need to check if there isn't any trade-off between precision and recall. So, an intrepretation of PR curve is required.

[@maYYidtS]

sir, can you please make videos on pipeline creation...

[@learndatasciencewithpranja7060]

ok . Let my try creating the video on pipe line

[@karanbhardwaj5334]

Thanks sir

[@learndatasciencewithpranja7060]

Thanks Karan for liking the video

[@sau002]

Some rough edges. But, good content.

[@learndatasciencewithpranja7060]

Thanks Saurabh for liking the video.
Your valuable feedback is always welcomed