Partial dependency plot: How feature impact model prediction?

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Partial importance is one of the important tools in machine learning which will help us to understand how feature impacts model prediction. This video will provide details on how the partial dependency plot(PDP) works and how we can interpret the PDP output.

Vivek Kumar

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Hi vivek, thank you for the clear explanation

apotheosis

Hi Sir, this is a very helpful (and very underrated!) video. Could you please make a detailed video on two way pdp and also 'accumulated local effects', which is something i believe very similar to pdp? Thanks a lot!

archanamaurya

Hi Vivek, Thank you for an interesting explanation.
In my problem, my regression model is solved with scaling. Now, How do I apply partial dependency plot with actual values?

saihiteshnani

Hi Vivek, Good explanation. But need the source file used to get the shown output. Downloaded file from kaggle shows different ouput. Please share the data file used in the demo. Tq

nowshathk.batcha

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