I'm creating a suggestion model through MBA.
I observed that in my particular model, that if the
min_support was placed as 0, the model would take an insanely long time to run, before crashing.
min_support as 0.6, and no values were generated.
Through trial and error, I came to see that a
min_support value of 0.02 hit the sweet spot, giving me 50 to 100 rows to work with.
Is there a way that I can mathematically calculate the optimal
I'm not looking for a simple
for loop that iterates, recalculating each time and checks the number of rows.
In this case hf has 51 rows.