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Frequency bin class #57
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Hi @gfagherazzi, Is it possible to share some more information? It will help me to understand why 2 class is large. Thank you |
Hi @aravindhebbali , yes sure |
This usually happens when there is not much variation in the frequency data i.e. the transaction count for the customers. In your data set, there are customers either with very low or very high transaction count. |
Ok I see, is it possible to read somewhere the RFM threshold for each class? |
Ok, I will create a new branch in which the output will include the thresholds used. Which of the below function are you using to create the RFM results?
I will create a variant of the function so that it will return the thresholds. |
Wow super! |
I have created a new branch
The intervals are created in the below style:
In the above example, the bins are assigned as follows:
Hope this helps. |
Super useful G. |
Sorry to disturb you again, but if think it should be really useful a method to override values in rfm_result tibble bins. Something like segments modeling recency_lower <- c(4, 2, 3, 4, 3, 2, 2, 1, 1, 1) Thank you |
You mean you want to be able to specify the intervals manually? |
Yes exactly |
Will experiment with this enhancement in the threshold branch sometime this week and will keep you posted. |
Hi, I need to modify the way RFM bins are created.
For frequency, for example, the 2 class is too large in my case.
Thank you
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